เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development.
• You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents.
• You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements.
• Outputs include workshop sessions and documentation including mapping documents.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Skills and attributes for success.
• 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams.
• Translate business requirements to technical solutions leveraging strong business acumen.
• Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Provide architectural expertise to sales, project and other analytics teams.
• Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions.
• Provide solution oversight to delivery architects and teams.
• Skills and attributes for success.
• 6-8 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to estimate complexity, effort and cost.
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation techniques.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ทักษะ:

Research, Data Analysis, Problem Solving

ประเภทงาน:

งานประจำ

• Enable omni-channel customer journey and experience design.
• Operating model based on analytics practices.
• Digital enablement and platform implementation.
• You will support Deloitte and client s business growth by:Identifying client s business requirements / overall strategy and vision, and any opportunities for efficiencies in existing process / service design.
• Undertaking extensive desktop and on-the-ground research on various aspects relevant to our current and potential clients viz. market sizing, competitive benchmarking across channels, products, customer experience, digital capabilities, customer servicing, etc.
• Developing draft pitch proposals including storyboarding, data analysis, opportunity sizing, proposed team composition, project costing and fee estimates.
• Using tech, human-centered design thinking and innovative approaches to solve business needs.
• Participating in team problem solving efforts and offer ideas to solve client issues.
• Facilitating client workshops to complete current state assessment and providing basis for future state design and rollout planning.
• Conducting relevant research, data analysis, and create reports.
• Maintaining responsibility for quality, completion, and accuracy of work products.
• Assessing restructuring operating models, organizational structures, and business processes to streamline core operations service delivery.
• Assisting in proposal development, as requested.
• Actively expanding consulting skills and professional development through training courses, mentoring, and daily interaction with Deloitte colleagues and clients.
• As a Manager you will:Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. Take charge of fulfilling the responsivities and deliverables planned for project working closely with the team and client to obtain sign-off and ensure client satisfaction as a result, build trusted relationships with the client.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• In addition, Managers should support practice development and business management activities to help grow the Analytics & Cognitive practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the FS Data and AI, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects and hone your commercial skills.
• Design and develop tailor-made solutions, strengthen presence of AI&D Practice for in the SEA market, identify revenue-generating opportunities, and get involved in proposal writing, pitch presentations, etc.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements:Bachelor or Masters' Degree in any relevant discipline.
• Minimum 8-10 years of working experience in the Consulting Industry within Financial Services clientele.
• It would be great to haveBusiness problem solving in the banking or Insurance domain, using analytical tools i.e Machine Learning libraries, LLM (Large Language Model) such as Open AI, Anthrophyic, Google Bard.
• Hands-on Experience in finding Data Science solutions, developing AI Models using ML Workbench (i.e PIVOTAL Cloudera, Ms Azure, NVDIA Omniverse).
• Good foundation in Data Management, Data Governance (AI Model, ML Ops).
• Banking domain analytics within mass market;wealth or private banking sales & customer 360 analytics.
• fraud-compliance-risk analytics.
• operational productivity & capacity analytics.
• human resource analytics or various advanced analytical frameworks for SME / commercial banking.
• transaction banking, payments, etc..
• Insurance Domain within Bancassurance, Life, General Insurance domain such as agency sales & distribution, customer acquisition & servicing analytics, claims processing, fraud, etc.
• It would be nice should you haveGood foundation in programming language i.e (at least one) R, Python, Scala.
• Certification with relevant to Cloud / Machine Learning / Artificial Intelligence.
• Regional Financial Services Experience, across SEA.
• Strong client relationship skills, including an ability to independently engage with clients.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments.
• Additionally:Lead or Manage:Opportunity Management - RFI / RFP Process, Solution Designing, Budgeting and Account Planning.
• Delivery Management - Project Management, Manage Project Team, Project P&L.
• Leadership - Mentor and coach team members, fostering their professional growth and development within the insurance consulting domain.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 105649In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

12 ปีขึ้นไป

ทักษะ:

Research, Data Analysis, Problem Solving

ประเภทงาน:

งานประจำ

• Enable omni-channel customer journey and experience design.
• Operating model based on analytics practices.
• Digital enablement and platform implementation.
• You will support Deloitte and client s business growth by:Identifying client s business requirements / overall strategy and vision, and any opportunities for efficiencies in existing process / service design.
• Undertaking extensive desktop and on-the-ground research on various aspects relevant to our current and potential clients viz. market sizing, competitive benchmarking across channels, products, customer experience, digital capabilities, customer servicing, etc.
• Developing draft pitch proposals including storyboarding, data analysis, opportunity sizing, proposed team composition, project costing and fee estimates.
• Using tech, human-centered design thinking and innovative approaches to solve business needs.
• Participating in team problem solving efforts and offer ideas to solve client issues.
• Facilitating client workshops to complete current state assessment and providing basis for future state design and rollout planning.
• Conducting relevant research, data analysis, and create reports.
• Maintaining responsibility for quality, completion, and accuracy of work products.
• Assessing restructuring operating models, organizational structures, and business processes to streamline core operations service delivery.
• Assisting in proposal development, as requested.
• Actively expanding consulting skills and professional development through training courses, mentoring, and daily interaction with Deloitte colleagues and clients.
• As a Senior Manager you will:Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. Take charge of fulfilling the responsivities and deliverables planned for project working closely with the team and client to obtain sign-off and ensure client satisfaction as a result, build trusted relationships with the client.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• In addition, Managers should support practice development and business management activities to help grow the Analytics & Cognitive practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the FS Data and AI, you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects and hone your commercial skills.
• Design and develop tailor-made solutions, strengthen presence of AI&D Practice for in the SEA market, identify revenue-generating opportunities, and get involved in proposal writing, pitch presentations, etc.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves every day to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Senior Managers across our Firm are expected to:Establish a strong leadership brand by inspiring others through passion, integrity, and appreciation.
• Create opportunities to drive impact by leveraging each person s strengths to build high performing teams.
• Apply deep knowledge of trends and activity to drive continuous improvement and build lasting relationships across a diverse network.
• Translate and communicate broader strategy into a convincing team vision and goals, in order to align the team and sets priorities to achieve objectives.
• Actively contribute to building the talent pipeline by championing a talent experience that attracts, develops and retains top talent and high performing teams.
• Enough about us, let's talk about youIf you are someone with:Bachelor or Masters' Degree in any relevant discipline.
• Minimum 12 years of working experience in the Consulting Industry within Financial Services clientele.
• It would be great to haveBusiness problem solving in the banking or Insurance domain, using analytical tools i.e Machine Learning libraries, LLM (Large Language Model) such as Open AI, Anthrophyic, Google Bard.
• Hands-on Experience in finding Data Science solutions, developing AI Models using ML Workbench (i.e PIVOTAL Cloudera, Ms Azure, NVDIA Omniverse).
• Good foundation in Data Management, Data Governance (AI Model, ML Ops).
• Banking domain analytics within mass market;wealth or private banking sales & customer 360 analytics.
• fraud-compliance-risk analytics.
• operational productivity & capacity analytics.
• human resource analytics or various advanced analytical frameworks for SME / commercial banking.
• transaction banking, payments, etc..
• Insurance Domain within Bancassurance, Life, General Insurance domain such as agency sales & distribution, customer acquisition & servicing analytics, claims processing, fraud, etc..
• It would be nice should you haveGood foundation in programming language i.e (at least one) R, Python, Scala.
• Certification with relevant to Cloud / Machine Learning / Artificial Intelligence.
• Regional Financial Services Experience, across SEA.
• Strong client relationship skills, including an ability to independently engage with clients.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit our short-term and long-term project assignments.
• Additionally:Lead or Manage:Opportunity Management - RFI / RFP Process, Solution Designing, Budgeting and Account Planning.
• Delivery Management - Project Management, Manage Project Team, Project P&L.
• Leadership - Mentor and coach team members, fostering their professional growth and development within the insurance consulting domain.
• Next Steps So what are you waiting for? Join the winning team now.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• LI-VK Requisition ID: 105124In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Compliance

ประเภทงาน:

งานประจำ

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Java, RESTful, Web Services, English

ประเภทงาน:

งานประจำ

• Designing, developing, and maintaining integration & Architecture solutions.
• Ensuring seamless data flow across the organization.
• Working closely with other developers, and business stakeholders to understand requirements and deliver high-quality integration solutions.
• Understanding of RESTful and SOAP web services, data transformation, and error handling.
• having excellent problem-solving skills, be detail-oriented, and have the ability to work in a fast-paced environment.
• Ensuring our integration & Architecture solutions are efficient, scalable, and secure.
• Applying integration technologies and have a proven track record of delivering successful projects.
• Design and develop large integration solutions.
• Create and manage APIs.
• Integrate various systems and ensure seamless data flow.
• Collaborate with developers and business stakeholders.
• Understand and translate business requirements into technical solutions.
• Perform data transformation and error handling.
• Ensure integration solutions are efficient, scalable, and secure.
• Conduct code reviews and provide feedback to team members.
• Troubleshoot and resolve integration issues.
• Document integration processes and solutions.
• Participate in Agile development processes.
• Develop and maintain unit and integration tests.
• Optimize performance of integration solutions.
• Ensure compliance with security and data protection standards.
• Monitor and maintain integration environments.
• Participate in continuous improvement initiatives. Requirements.
• Bachelor s degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in JAVA developer and Java-script framework.
• Proficiency in Any JAVA Platform and JVM.
• Experience with Micro-service management and /distributed messaging queue.
• Strong understanding of RESTful and SOAP web services.
• Experience with data transformation and error handling.
• Excellent problem-solving skills.
• Ability to work in a fast-paced environment.
• Strong communication and collaboration skills.
• Experience with Agile development processes.
• Knowledge of security and data protection standards.
• Ability to troubleshoot and resolve integration issues.
• Strong attention to detail.
• Experience cloud platforms (e.g., AWS, GCP) is a plus.
• Knowledge of Java, XML, JSON, and SQL.
• Experience with CI/CD tools and processes.
• ability to document technical solutions and processes.
• Experience with performance optimization.
• Good in English, both written and spoken.

ทักษะ:

ETL, Python, Java

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Software Development, Electrical Engineering, Product Owner

ประเภทงาน:

งานประจำ

• Background in computer science, information systems, or another related field OR MS/BS degree in software development, computer science, information systems, or electrical engineering.
• Able to link the architectural vision with the business vision and building solutions that focus on business value, not just technical excellence.
• Use Agile engineering practices and other technologies to rapidly develop creative and efficient solutions to enhance customer and agent experience Identify and communi ...
• Work with Digital Product Owner and members to refine and maintain product backlog and estimate resourcing/timing requirements for development.
• Build solutions as required by the Small commercial division, while adhering to best-in-class integration standards and practices.
• Comply with standard processes and procedures including change control, configuration management and logical access control.
• Engage with Chapter in the spirit of continual development; upgrade skillset and expertise continuously to improve problem solving ability and engineering craft .
• Functional Competency.
• Able to provide technical excellence while embracing flexibility over building bulletproof systems.
• Passionate learner who keeps up with evolving technologies and is willing to experiment to test what would work for the business.
• Experience in or willingness to learn Agile methodology and working in a cross functional team.
• Experience of relational database development (e.g. SQL and JDBC).
• Working knowledge of file transfer protocols and configuration (e.g. SFTP, FTP).
• Strong background in XML (e.g. DOM, SAX, XPath and Schemas).
• At least 8 years of software engineering experience and deep expertise with 1-2 core programming languages (e.g., Java,.NET, Ruby, JavaScript or Typescript).
• Track record of successful delivery of technical components of integration platforms and transformation projects.
• Knowledge of non-functional considerations (scalability, availability, reliability, manageability) for complex, distributed environments.
• Educational.
• Background in computer science, information systems, or another related field OR MS/BS degree in software development, computer science, information systems, or electrical engineering.
• Able to link the architectural vision with the business vision and building solutions that focus on business value, not just technical excellence.
• Use Agile engineering practices and other technologies to rapidly develop creative and efficient solutions to enhance customer and agent experience Identify and communicate issues/risks to the relevant stakeholders (Digital Product Owners, Service/Platform owner, Domain lead).
• Work with Digital Product Owner and members to refine and maintain product backlog and estimate resourcing/timing requirements for development.
• Build solutions as required by the Small commercial division, while adhering to best-in-class integration standards and practices.
• Comply with standard processes and procedures including change control, configuration management and logical access control.
• Engage with Chapter in the spirit of continual development; upgrade skillset and expertise continuously to improve problem solving ability and engineering craft .
• Functional Competency.
• Able to provide technical excellence while embracing flexibility over building bulletproof systems.
• Passionate learner who keeps up with evolving technologies and is willing to experiment to test what would work for the business.
• Experience in or willingness to learn Agile methodology and working in a cross functional team.
• Experience of relational database development (e.g. SQL and JDBC).
• Working knowledge of file transfer protocols and configuration (e.g. SFTP, FTP).
• Strong background in XML (e.g. DOM, SAX, XPath and Schemas).
• At least 8 years of software engineering experience and deep expertise with 1-2 core programming languages (e.g., Java,.NET, Ruby, JavaScript or Typescript).
• Track record of successful delivery of technical components of integration platforms and transformation projects.
• Knowledge of non-functional considerations (scalability, availability, reliability, manageability) for complex, distributed environments.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

DevOps, Continuous Integration, Automation

ประเภทงาน:

งานประจำ

• Leadership & Strategy: Lead the DevOps team, define strategy, and drive the implementation of best practices across the organization.
• CI/CD Pipeline: Design, implement, and maintain continuous integration/continuous deployment (CI/CD) pipelines for efficient software delivery.
• Automation: Automate processes across the development lifecycle, including infrastructure provisioning, configuration management, and monitoring.
• Cloud Management: Manage cloud infrastructure (AWS, Azure, GCP) to ensure scalability, security, and cost-efficiency.
• Collaboration: Work closely with development, QA, and operations teams to align on goals, troubleshoot issues, and optimize processes.
• Monitoring & Performance: Implement monitoring solutions to ensure system reliability, availability, and performance. Conduct regular performance assessments and optimizations.
• Security: Integrate security best practices into the DevOps lifecycle, ensuring that all systems are secure and compliant with industry standards.
• Mentorship: Mentor and train junior team members, fostering a culture of continuous learning and improvement.
• Incident Management: Lead incident response efforts and root cause analysis, ensuring swift resolution and prevention of future issues.
• Bachelor s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of experience in DevOps or related roles, with at least 2 years in a leadership capacity.
• Strong experience with CI/CD tools (Jenkins, GitLab, CircleCI, etc.).
• Proficiency in cloud platforms (AWS, GCP) and infrastructure-as-code tools (Terraform, Ansible, etc.).
• Expertise in scripting languages (Python, Bash, etc.).
• Solid understanding of containerization (Docker, Kubernetes) and orchestration.
• Strong knowledge of monitoring and logging tools (Prometheus, Grafana, ELK Stack).
• Excellent problem-solving skills and ability to work under pressure.
• Strong communication and leadership skills, with the ability to influence cross-functional teams.

ทักษะ:

Jenkins, Automation, Python

ประเภทงาน:

งานประจำ

• Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources.
• CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery.
• Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell.
• Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack.
• Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication.
• Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards.
• Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability.
• Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability.
• Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures.
• Qaulifications.
• Education: Bachelor s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• Experience: [Specify years of experience] years of experience in a DevOps or related role.
• Proficiency in scripting languages (e.g., Python, Bash, Powershell).
• Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
• Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI).
• Familiarity with containerization and orchestration (e.g., Docker, Kubernetes).
• Strong understanding of cloud platforms (e.g., AWS, GCP).
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK).
• Understanding of security best practices and tools.
• Preferred.
• Experience with serverless architectures and microservices.
• Experience in a fast-paced, agile development environment.
• Knowledge of network and security configurations in cloud environments.
• Strong problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and in a team.
• Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.
• Location: True Digital Park, Bangkok.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

TensorFlow, Python, Cloud Computing

ประเภทงาน:

งานประจำ

• Serve as the Subject Matter Expert (SME) in AI and machine learning.
• Stay up to date on the latest AI advancements and integrate best practices into PwC's digital strategy.
• Provide thought leadership and insights on emerging AI trends and technologies..
• Solution s architecture.
• Design and create AI-driven solutions tailored to the needs of various lines of service.
• De sign high-level solutions, including system architecture, data flow and integration points.
• Collaborate with technical teams to ensure architectural alignment and adherence to best practices..
• Digital asset development.
• Lead the development and deployment of AI-based digital assets that enhance service delivery for clients.
• Ensure digital assets are scalable, secure and maintainable.
• Oversee the full lifecycle of digital assets from ideation to deployment, and ongoing support..
• Team management.
• Manage, mentor and develop a team of AI and ML professionals.
• Foster a collaborative and innovative team environment that encourages continuous learning and growth.
• Conduct regular performance reviews and provide constructive feedback to team members..
• Client engagement.
• Work closely with client-facing teams to understand client needs and translate them into AI solutions.
• Participate in client meetings and presentations to demonstrate AI capabilities and solutions.
• Provide technical guidance and support during client engagements..
• Collaboration and communication.
• Collaborate with cross-functional teams, including data scientists, engineers and business analysts.
• Communicate complex AI concepts clearly to non-technical stakeholders.
• Foster a culture of continuous learning and innovation within the digital team..
• Project management.
• Manage multiple AI projects simultaneously, ensuring timely delivery and quality.
• Define project scope s, objectives and deliverables in alignment with business goals.
• Monitor project progress and provide regular updates to stakeholders..
• Bachelor s or Master s degree in Computer Science, M athematics, Data Science, Engineering or a related field.
• Minimum of seven years experience in AI or ML development and solution s architecture.
• Proven track record in designing and deploying AI solutions in a business environment.
• Minimum of three years experience in a managerial or team leadership role.
• Experience working with cross-functional teams and managing complex projects.
• E xperience in a consulting environment is advantageous..
• Technical skills.
• Strong foundation in AI concepts and generative AI techniques such as GANs and VAEs.
• Pr actical experience with machine learning frameworks such as TensorFlow and PyTorch.
• Strong programming skills in languages such as Python and R.
• Knowledge of data processing and analysis, natural language processing and computer vision.
• U nderstanding of cloud computing and big data technologies..
• Soft skills.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Ability to work effectively in a team.
• High ly adaptable with a continuous learning mindset.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Available for Work Visa Sponsorship?.
• Government Clearance Required?.
• Job Posting End Date.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

ทักษะ:

Big Data, Java, Python

ประเภทงาน:

งานประจำ

• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.
• Educational.
• Background in programming, databases and/or big data technologies OR.
• BS/MS in software engineering, computer science, economics or other engineering fields.
• Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards.
• Assemble medium, complex data sets that meet functional /non-functional business requirements.
• Design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction transformation, and loading of data from a wide variety of data sources big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access.
• Create data tools for analytics and data scientist team members.
• Functional Competency.
• Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
• In depth knowledge of data engineering discipline.
• Extensive experience working with Big Data tools and building data solutions for advanced analytics.
• Minimum of 5+ years' hands-on experience with a strong data background.
• Solid programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools.

ทักษะ:

Oracle, Software Development, Project Management

ประเภทงาน:

งานประจำ

• At least 3-5 years experience in Cloud/IT Product manager or Channel manager.
• Cloud business marketing or product experience; ROI, P&L, Feasibility related business acumen of product manager role.
• OCI Solution Architech, Oracle Security certificate, OCI DB professional is an advantage...
• Cloud Solution Architect Engineer / Presales / Solution Consulting.
• Design Cloud Architectures - Ensure robust, scalable, and secure cloud infrastructure tailored to partner needs, allowing businesses to handle growth, and changing demands efficiently.
• Lead Architectural Design Sessions - Facilitate the creation of effective and efficient cloud solutions through collaborative planning and design sessions, ensuring alignment with business goals and technical requirements. This collaboration fosters innovation and problem-solving, leading to better-designed systems.
• Develop Proof of Concepts and Pilots - Demonstrate the feasibility and benefits of proposed cloud solutions, gaining partner buy-in and driving adoption. These prototypes help validate ideas and identify potential issues before full-scale implementation, saving time and resources.
• Provide Technical Guidance and Support - Ensure successful implementation and optimization of cloud solutions, enhancing partner satisfaction and solution performance, to maximize the value of partner cloud investments and adapt efficiently to challenges.
• Transition partner and customer from Legacy Systems - Facilitate smooth transitions to modern cloud environments, improving efficiency and reducing operational risks for partners, to help them stay competitive by leveraging the latest technologies and cloud best practices.
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field.
• 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• Strong background and in-depth knowledge of cloud technologies. And strong project management skills..

ทักษะ:

Oracle, Automation, Compliance, English

ประเภทงาน:

งานประจำ

• You own, investigate and solve complex customer technical issues and act as a advisor to the customer, collaborating within and across teams and leveraging troubleshooting tools and practices.
• Readiness.
• You lead in building communities with peer delivery roles and share your knowledge through readiness programs, technical coaching and mentoring of others.
• You deepen your technical and professional proficiency to enable you to resolve complex customer issues, through training and readiness.
• Product/Process Improvement.
• You engage with Oracle Engineering/ Supportability teams to investigate potential product defects and help develop automation techniques and diagnostic tools driving AIS product improvements.
• Multiple years of technical support, technical consulting experience, or information technology experience OR Bachelor's Degree in Computer Science, Information Technology (IT), or related field.
• 3+ years technical support, technical consulting experience, or information technology experience.
• Strong experience with cloud, administration, understanding of the Networking OSI model and related concepts.
• Able to take roles of On-call, Standby, 24*7 in the future. (Maybe).
• Proficiency of English communication..
• Cloud Business Operation Engineer / Specialist.
• Collaborates with appropriate stakeholders to determine user requirements for a scenario.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Ensure robust, scalable, and secure cloud infrastructure tailored to partner/customer needs, allowing businesses to handle growth, and changing demands efficiently.
• Determine workload criticality, impact of disruptions, or performance degradation.
• Establish business-approved cost and performance commitments.
• Monitor and operate cloud workloads.
• Maintain asset and workload inventory.
• Monitor performance of workloads.
• Maintain operational compliance.
• Protect workloads and associated assets.
• Recover assets if there is performance degradation or business interruption.
• Mature functionality of core platforms.
• Continuously improve workload performance.
• Improve budgetary and design requirements of workloads to fit commitments to the business..
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field.
• 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting, OR equivalent experience.
• Strong background and in-depth knowledge of cloud technologies. And strong project management skills.
• Proficiency of English communication.

ทักษะ:

SAS

ประเภทงาน:

งานประจำ

• Drive solution planning initiatives to meet the growth target of the local ATC in collaboration with ATC Delivery MD & BusOps. One of these is to establishment a New FY Account Planning ATCM participation or cascade to SAs & Delivery. Key Account Connects and solidify relationships with CALS and TDLs whose Tech work portfolio include ATC Target capabilities in scope.
• Drive Account Planning sessions to derive CF & Tech Opportunities. This would be input to ATC Capability Building Plans. ATC Delivery to identify a corresponding Delive ...
• Drive and Define Owners to create or iterate on Solution Guidelines for the local ATC.
• Lead the design and development of complex solutions that meet client needs, leveraging your expertise in solution architecture.
• Collaborate with cross-functional teams, including developers, project managers, and business analysts, to analyse business requirements and design solutions that meet client needs.
• Translate business problems into appropriate solution designs, ensuring that solutions are scalable, reliable, and secure.
• Provide technical leadership and guidance to development teams, ensuring that solutions are designed and developed in accordance with best practices and industry standards.
• Stay updated with the latest advancements in solution architecture and planning, integrating innovative approaches for sustained competitive advantage..
• Must Have Skills: Expertise in solution architecture.
• Good To Have Skills: Experience with cloud technologies, such as AWS or Azure.
• Strong understanding of software development methodologies and best practices.
• Experience with designing and developing complex solutions that meet client needs.
• Experience with providing technical leadership and guidance to development teams.
• Solid grasp of security and compliance requirements for enterprise solutions..
• The candidate should have a minimum of 20 years of experience in solution architecture or expertise and success in starting up and executing complex end to end technology System Integration or Application Maintenance or Infrastructure Maintenance or Infrastructure Consulting delivery.
• The ideal candidate will possess a strong educational background in computer science, engineering, or a related field, along with a proven track record of delivering impactful solutions.

ทักษะ:

Software Development, PHP, Golang, English

ประเภทงาน:

งานประจำ

• Lead the design and implementation of high-quality software applications, ensuring best practices are followed.
• Collaborate with cross-functional teams to define, design, and deliver new features and enhancements.
• Mentor and guide junior engineers, fostering their technical development and growth.
• Conduct thorough code reviews to maintain high coding standards and ensure overall code quality.
• Optimize application performance and scalability, identifying opportunities for improvement.
• Design system architecture with a focus on security and adherence to programming standards.
• Solve complex technical challenges and provide strategic, scalable solutions.
• Bachelor s degree in Computer Science, Software Engineering, or a related field.
• 3 years plus of experience in software development.
• A Master s degree or additional certifications in relevant areas is a plus.
• Programming Language Proficiency: Strong expertise in PHP, Golang, NodeJS, and TypeScript.
• Experience with Programming Frameworks: Proficient in Go-Fiber, Go-Gin, ReactJS, NextJS, AngularJS, Laravel, and CodeIgniter.
• Database Experience: Hands-on experience with databases such as MongoDB, MariaDB, MySQL, and PostgreSQL.
• Strong understanding of data structures and algorithms.
• Expertise in system architecture design and development.
• In-depth knowledge of security programming standards and best practices.
• Advanced technical problem-solving abilities, with a proven ability to address complex issues.
• Possesses a positive attitude and participates in team-building and events.
• Comfortable presenting technical information and project updates to both technical and non-technical stakeholders.
• Skilled in using AI to solve complex problems, leading to improved outcomes.
• Be able to communicate in both Thai and English.
• Experience with reactive programming techniques and frameworks.
• Knowledge of cloud computing environments and microservices architecture design and implementation.
• Familiarity with DevOps practices and tools, including continuous integration and deployment processes.
• Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date.
• Important: https://careers.bitkub.com/privacy.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Software Development, Problem Solving, English, Thai

ประเภทงาน:

งานประจำ

• Guide customers through how to integrate Braze into their tech stacks such as web, iOS, Android and Huawei.
• Advise customers on categorizing their data to match with the Braze data system.
• Plan data collection injected from various sources such as database server, AWS, Microsoft Azure, Snowflake and other cloud storage.
• Guide effective data import strategy to the client. Advice how to embed SDK, API and Messaging Integrations into channels and other martech systems.
• Plan for testing and troubleshooting when the customer faces some issue on their platform.
• 2+ years of experience in software development and system architecture.
• Strong knowledge of web and mobile app development (iOS, Android and Huawei) are required.
• Experience with SDK and API integration.
• Knowledge of cloud servers databases either AWS, Microsoft Azure, Snowflake or other cloud storage.
• Proven track record of designing and implementing secure, scalable, and high-performing IT solutions.
• Excellent communication, collaboration, time management and problem-solving skills.
• The ability to think strategically and translate technical concepts into clear, concise language for non-technical audiences.
• Able to speak English fluently.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Software Development, Java, Golang

ประเภทงาน:

งานประจำ

• Lead the design and execution of comprehensive performance test plans and cases, ensuring the delivery of high-quality, scalable systems.
• Identify and analyze performance bottlenecks, providing strategic recommendations to optimize application performance.
• Continuously monitor system performance, analyzing results using advanced tools, and collaborating with cross-functional teams for solutions.
• Communicate effectively with development and operations teams to ensure seamless integration and optimal system performance.
• Document and report performance issues in a clear and structured manner, tracking their resolution through collaboration with the development team.
• Conduct extensive load, stress, and scalability testing to validate system stability under various conditions.
• 8+ years of experience in performance testing within a software development lifecycle (SDLC) environment.
• Proficient in at least one programming language such as Java, Golang, or a similar language.
• Advanced skills in Linux and shell scripting.
• Strong knowledge of networking principles and web services.
• Expertise in using performance testing tools such as Load Generators, Performance Monitoring tools, and Reporting tools, with proficiency in JMeter preferred.
• Proven track record of successfully identifying and resolving complex performance issues in large-scale systems.
• Competitive compensation package.
• Comprehensive benefits, including health, dental, vision, and life insurance for all employees.
• A flexible work environment with significant growth potential and the opportunity to make a meaningful impact.
• Collaborate with a team of passionate, driven, and innovative technologists.