เงื่อนไขการค้นหา

ทักษะ:

Apache

ประเภทงาน:

งานประจำ

• Architectural Artifacts: Serves as the primary author of the High-Level Design (HLD) andthe Architecture Definition Document (ADD) using arc42 standards.
• System Modeling: Utilizes the C4 Model to create detailed component models anddocumentation that eliminate developer interpretation..
• Technical Governance: Ensures project-level "Gate" success and prevents localizedtechnical debt or security leaks..
• Design Precision: Defines System Building Blocks (SBBs) and formal API Specifications(OpenAPI/Swagger)..
• Decision Management: Records all architectural trade-offs as Architecture DecisionRecords (ADRs) in a version-controlled repository..
• Cloud & Container Technology.
• Platform Expertise: Architectural design and management within OpenShift (OCP) and Kubernetes (K8s) environments.
• Secret & Key Management: Integration of Vault and Hardware Security Modules (HSM)for robust cryptographic operations and secret management.
• Service Mesh: Implementation of Istio for traffic management and securecommunication.
• Governance: Applying GitOps Governance and integrating security scanning into CI/CDpipelines.
• Banking Security & Regulatory Standards.
• Cyber Resilience: Alignment with the Bank of Thailand (BoT) Cyber ResilienceFramework to ensure systemic safety..
• Data Privacy (PDPA): Designing field-level encryption and masking for PersonallyIdentifiable Information (PII) to comply with PDPA regulations..
• Identity & Access: Enforcing Multi-Factor Authentication (MFA) and utilizing OIDC/OAuth2 and JWT (JWS/JWE) for secure identity..
• Audit Readiness: Acting as a technical contact for BoT IT Examinations and ensuring alldesign assets are ready for regulatory audit..
• Payment Standards: Knowledge of PCI-DSS for cardholder data security..
• Technical Skills & Patterns.
• Microservices Patterns: Expertise in Database-per-service, Circuit Breaker, Sidecar, and Saga Patterns (Distributed Transactions).
• Messaging & Integration: Proficiency in Apache Kafka (ensuring Idempotency), gRPC,and REST (Level 3)..
• Distributed Systems: Application of CAP Theorem and Event Sourcing in high-availability environments..
• Resilience: Implementing Strangler Fig patterns for legacy migration and automatedDisaster Recovery (DRP) plans...

ทักษะ:

SAP, Linux, Apache

ประเภทงาน:

งานประจำ

• Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
• Design Cloud solution architecture in response to the client s requirement.
• Provide advisory consulting service to the client regarding the True IDC Consulting practices.
• Create Cloud technical requirements to the client s migration plan.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
• Knowledge of Containerization administrative for both Windows and Linux technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Good in customer objective handling & Good in customer presentation skill.
• Nice to have.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate.
• GCP Certified Solution Architect - Associate.

ทักษะ:

Java, Spring Boot, Apache

ประเภทงาน:

งานประจำ

• Experienced in Java Spring Boot (Software Engineer).
• Skilled in testing methodologies and tools (QA Engineer).
• Familiar with technologies like Apache Kafka.
• Excited about FinTech, digital banking, and innovation.
• Eager to tackle challenging projects that make an impact.
• Ready to build the future of FinTech with us?
• Apply for Software Engineer>>CLICKCLICK

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

DevOps, Python, Automation

ประเภทงาน:

งานประจำ

• Design and implement cloud-native architectures on AWS across compute, networking, storage, and security.
• Lead end-to-end cloud migration and modernization projects from current-state assessment to production delivery.
• Define infrastructure standards using Terraform, GitOps methodologies and etc.
• Conduct architecture reviews, Well-Architected assessments, and FinOps optimization sessions.
• DevOps & Platform Engineering.
• Build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, ArgoCD, or similar tooling.
• Design internal developer platforms that improve engineering velocity and reduce cognitive overhead.
• Implement observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry) for production systems.
• Advise clients on SRE practices, incident management, and platform reliability.
• Data Platform.
• Architect modern data platforms on AWS data lakes, lakehouses, streaming pipelines, and analytics layers.
• Design and implement data infrastructure using services such as S3, Glue, Redshift, EMR, Kinesis, or MSK.
• Define data governance, cataloguing, and quality frameworks for enterprise clients.
• Bridge the gap between data engineering and cloud infrastructure ensuring platforms are scalable, cost-efficient, and production-ready.
• AI / GenAI Integration.
• Identify practical opportunities to apply GenAI and LLM tools within client engineering workflows.
• Prototype and implement AI-assisted tooling code review agents, documentation generators, incident responders, or data query assistants.
• Advise on AWS AI/ML services: Bedrock, SageMaker, Kendra, Q Developer, and related tooling.
• Build internal knowledge and best practices around responsible and effective use of AI in cloud consulting.
• WHAT WE'RE LOOKING FOR.
• Must-Have Skills.
• 5+ years of hands-on experience in software engineering, DevOps, or platform engineering.
• Strong AWS proficiency EKS, Lambda, RDS, VPC, IAM, S3, and related services.
• Production-level Terraform experience modules, remote state, CI/CD integration.
• Software development background in Python, Go, or similar language; comfortable writing automation and tooling.
• Kubernetes experience deploying, operating, and troubleshooting clusters in production.
• Experience architecting or building data platforms pipelines, lakes, warehouses, or streaming systems.
• Track record of leading or contributing to cloud migration or modernization projects.
• Nice-to-Have.
• AWS certification: Solutions Architect Professional, Data Engineer Associate, or ML Specialty.
• Hands-on experience with AWS AI/ML services: Bedrock, SageMaker, or Q Developer.
• Experience building LLM-powered applications, RAG pipelines, or AI agents.
• Background in consulting, professional services, or client-facing technical roles.
• Familiarity with data governance frameworks, data mesh concepts, or dbt.
• Experience with Apache Spark, Flink, Kafka, or similar data processing frameworks.
• BACKGROUND THAT FITS.
• Software or Backend Engineers who have grown into cloud and infrastructure.
• Data Engineers or Analytics Engineers who want to expand into full-stack cloud architecture.
• DevOps or Platform Engineers from product companies looking to work across multiple industries.
• SREs or Cloud Engineers who also have data platform or ML infrastructure experience.
• SI or consulting engineers who have been on the delivery side, not just pre-sales.
• WHAT MAKES YOU STAND OUT.
• You actively use AI tools in your workflow today not just talking about it, actually doing it.
• You have a GitHub or GitLab profile with real Terraform, data pipeline, or infrastructure code.
• You can explain trade-offs in architecture decisions cost, reliability, scalability, and maintainability.
• You have led or meaningfully contributed to a modernization project and can walk us through before and after.
• You are curious about how LLMs and GenAI can change the way engineers build and operate systems.
• Hybrid Working About NTT DATA
• NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters.
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, ETL, SQL

ประเภทงาน:

งานประจำ

• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or related technical discipline.
• 5+ years experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Java

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).

ทักษะ:

DevOps, Automation, Kubernetes

ประเภทงาน:

งานประจำ

• Managing 7-8 Professional Service Engineers in responsible for AWS cloud solution architecting and implementation/migration according to the project requirements.
• Team resources management.
• Acting as the key of Cloud technical aspect for the consulting team to provide the technical of AWS cloud consulting to customers.
• Design AWS Cloud solution architecture in response to the client s requirement.
• Define the scope of work & estimate mandays for cloud implementation.
• Managing cloud project delivery to meet the customer requirements timeline.
• Support AWS, GCP cloud partner competency building e.g. AWS Certification and delivery professional service process and documentation.
• Speaker of AWS technical side for True IDC webinar, online event for CloudTalk.
• Key Driving for building team competency expansion to meet the competency roadmap yearly strategy e.g. DevOps, IaC, Automation, Kubernetes, App modernization on AWS cloud.
• Experience in leading cloud AWS implementation and delivery team.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies for AWS, GCP is plus.
• Experience in infra as a code in cloud native (Cloud Formation) or other e.g. Terraform, Ansible implementation.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture to the Cloud.
• Knowledge of OS administrative for both Windows and UNIX technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Knowledge of Kubernetes, Containers and CI/CD, DevOps.
• Experience with RDBMS designing and implementing over the Cloud.
• Prior experience with application development on the various development solutions as Java,.Net, Python etc.
• Experience in,.Net and/or Spring Framework and RESTful web services.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate, Prefer Professional level.

ทักษะ:

Java, J2EE, Spring Boot

ประเภทงาน:

งานประจำ

• We are seeking an experienced Solution Architect with a strong background in J2EE technology stack and microservices architecture to join our team. In this role, you will be responsible for designing and leading the implementation of complex software solutions that align with our business objectives. You will collaborate with stakeholders, including development teams, product owners, and executives, to ensure the technical feasibility of new initiatives and enhancements.
• For the detailed scope of work.
• Lead the design, development, and implementation of J2EE and microservices architectures.
• Collaborate with cross-functional teams to define, develop, and launch new features and functionality.
• Design, build, and maintain APIs to enable seamless integration between microservices.
• Define and enforce coding standards, architecture, and design patterns.
• Identify and resolve technical issues and defects.
• Provide technical leadership and mentoring to team members.
• Ensure that solutions meet the business and technical requirements, are scalable, and can be easily maintained and..
• Apply now if you have these advantages.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience as a Software Developer, Technical Lead, or Solution Architect in a J2EE environment.
• Demonstrated expertise in Java programming language, libraries, and frameworks (Spring Boot, Hibernate, etc.).
• Familiarity with containers (Docker), container orchestrators (Kubernetes, Docker Swarm), and cloud platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform).
• Strong problem-solving skills and the ability to learn new technologies quickly.
• Excellent communication skills, both written and verbal.
• Experience working in an Agile development environment and implementing DevOps practices is preferred.
• Strong understanding of NoSQL databases (Cassandra, MongoDB, etc.) and experience designing scalable data models for cloud applications.
• Knowledge of message brokers (Apache Kafka) and experience integrating microservices using event driven architectures.
• Familiarity with frontend technologies (React, AngularJS, etc.) and experience designing RESTful APIs is a plus.
• Experience working on large-scale, complex projects in a fast-paced environment is desirable.
• Strong understanding of database design and optimization for J2EE applications (MySQL, PostgreSQL).
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).