Lead Software Engineer, Devops Platform (Bangkok based, relocation provided)

 

In this Role, you'll get to:

· Lead the technical vision, architecture, and execution of new SRE platforms or reliability initiatives.

· Define and promote SRE best practices across Agoda’s services e.g., SLI/SLO-driven engineering, error budgets, and other data-driven reliability factors.

· Design, build, and operate reliability platforms including load shedding , business signals monitoring, and safe-deployment automation to reduce blast radius while preserving developer velocity..

· Own safe deployment strategies such as canary releases, automated rollback, and business-impact protection integrated with deployment & monitoring.

· Proactively identify and mitigate reliability and scaling risks across Agoda’s services.

· Improve system resilience and multi-cluster readiness by partnering with platform team and operation team.

· Lead major incident response and operational excellence, driving fast detection, mitigation, root cause analysis, postmortems, and learnings focused on business impact.

· Maintain and evolve incident, observability, alerting, and on-call tooling, improving signal quality, alert enrichment, grouping, and reducing time-to-clue and time-to-mitigation for NOC and on-call engineers.

· Advance platform observability and reliability signals using Prometheus and Grafana, balancing actionability, scale, and cost efficiency.

· Define reliability roadmaps and OKRs, translating ambiguous business reliability goals into clear technical requirements.

 

What You’ll Need to Succeed:

· 8+ years of relevant experience.

· Demonstrated ownership of architecting, building, and operating mission-critical production systems, making long-term technical and reliability trade-off decisions.

· Proven ability to lead and coordinate complex cross-team initiatives, setting technical direction and aligning stakeholders to deliver outcomes at organizational scale.

· Expertise in one or more programming skills (e.g., Go, Python, Rust, Java) with a solid understanding of distributed systems fundamentals (concurrency, backpressure, timeouts/retries, idempotency, circuit breaking).

· Deep hands-on experience with the Kubernetes ecosystem, service mesh technologies (e.g., Istio), Kubernetes deployment workflows (e.g., Argo CD).

· Observability & monitoring expertise, using Prometheus, Grafana, and common logging/telemetry stacks (e.g., OpenTelemetry), with an understanding of signal quality, scalability, and cost trade-offs.

· Strong incident management lifecycle aiming for improving area of alert quality, alert management, incident response, RCA, and postmortems.

· Experience with reliability engineering patterns such as canary deployments, automated rollback, capacity/right-sizing automation, and production operation.

· Solid data analysis, including SQL(e.g., PostgreSQL, MSSQL) and data pipelines.

· Data-driven mindset, able to perform deep research, analyze complex problems, and make informed technical decisions.

· Excellent communication and collaboration skills, able to explain complex technical concepts clearly to stakeholders at all levels, and to operate effectively both as a self-directed individual contributor and as part of a team.

· Curiosity and continuous learning, staying current with industry trends, open-source advancements, and emerging reliability practices.

Nice-to-Have: