เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Kubernetes, Automation, Redis

ประเภทงาน:

งานประจำ

• Platform Operations: Manage and operate our Kubernetes platform, ensuring high availability, performance, and security.
• Automation & Tooling: Design, develop, and implement automation solutions for operational tasks, infrastructure provisioning, and application deployment.
• Observability: Build and maintain a comprehensive observability stack (monitoring, logging,tracing) to proactively identify and resolve issues.
• Platform Stability & Performance: Implement and maintain proactive measures to ensure platform stability, performance optimization, and capacity planning.
• Middleware Expertise: Provide support and expertise for critical middleware tools such as RabbitMQ, Redis, and Kafka, ensuring their optimal performance and reliability.
• Incident Response: Participate in our on-call rotation, troubleshoot and resolve production incidents efficiently, and implement preventative measures.
• Collaboration: Collaborate effectively with development and other engineering teams.
• Positive attitude and empathy for others.
• Passion for developing and maintaining reliable, scalable infrastructure.
• A minimum of 3 years working experience in relevant areas.
• Experience in managing and operating Kubernetes in a production environment.
• Experienced with cloud platforms like AWS or GCP.
• Experienced with high availability, high-scale, and performance systems.
• Understanding of cloud-native architectures.
• Experienced with DevSecOps practices.
• Strong scripting and automation skills using languages like Python, Bash, or Go.
• Proven experience in building and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI).
• Deep understanding of monitoring, logging, and tracing tools and techniques.
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
• Strong understanding of Linux systems administration and networking concepts.
• Experience working with middleware technologies like RabbitMQ, Redis, and Kafka.
• Excellent problem-solving and troubleshooting skills.
• Excellent communication and collaboration skills.
• Strong interest and ability to learn any new technical topic.
• Experience with container security best practices.
• Experience with chaos engineering principles and practices.
• Experience in the Financial Services industry.
• Opportunity to tackle challenging projects in a dynamic environment.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

eCommerce, CPA, Excel, English

ประเภทงาน:

งานประจำ

• Turn monthly GMV, margin, and inventory realities into channel mix, flighting, and CPA/ROAS guardrails.
• Define a KPI hierarchy: first GMV, then Orders, then ROAS/CAC, then CTR, CVR, AOV, and UPO.
• Build weekly media plans with budget, reach/frequency, CPC or CPM, CTR, CVR, and GMV forecasts; set pacing curves and daily caps.
• Planning TikTok media: Product Sales objective (Shopping Ads), Live Shopping boosts, creator whitelisting, catalog/VSA; align with the LIVE calendar.
• Planning Meta & Google media: CPAS and PMAX, Search aligned to consent and UTM taxonomy.
• Planning Marketplaces: Lazada Sponsored (search/display) and Shopee Ads (search/discovery/shop) around price drops, vouchers, and mega days.
• Draft test charters (creative hooks, audience seeds, bid or goal types, catalog slicing); run A/B tests with clear stop and scale rules.
• Optimize daily on bids, budgets, audience breadth, creatives, and catalog sets; redistribute to high-ROI SKUs.
• Maintain single-source dashboards for pacing, ROAS, CAC, GMV, orders, and refunds; reconcile paid versus organic lifts.
• Produce weekly insights: what worked, why, and next actions; document playbooks by category and price tier.
• Partner with LIVE PMs for on-air boosts; brief creative on winning messages; align with shop ops on stock, price, and voucher burn.
• Qualifications 2-4 years in performance or eCommerce media planning (TikTok, Meta, Google; Lazada/Shopee ads a plus).
• Proven ownership of weekly pacing, optimization, and month-end reconciliation against GMV and ROAS targets.
• Strong analytics in Sheets/Excel (Pivot, INDEX-MATCH or XLOOKUP), basic forecasting; comfortable building calculators that connect CPC, CTR, CVR to GMV.
• Familiar with product feeds, pixels/SDKs, attribution nuances (platform versus GA4), and incrementality basics.
• Clear, Thai-first communicator with crisp English; calm under pressure; partner mindset with LIVE, creative, and shop ops.
• Tools / Stack
• TikTok Ads Manager (Shopping Ads and Live boosts), Meta Ads Manager, Google Ads and PMAX, Lazada/Shopee Ads consoles, Sheets/Excel. Location: Bangkok Brand: Dentsu X Time Type: Full time Contract Type: Independent Contractor