Production Support Engineer

Strong expertise in Microservices architecture with practical experience designing, deploying, and supporting distributed systems in production environments.

Deep hands-on knowledge of Kubernetes (deployment management, scaling, upgrades, troubleshooting, cluster operations) with a focus on reliability, resilience, and performance.

Working proficiency with API Gateway platforms such as Azure API Management (APIM), Kong, and IBM API Connect (APIC) for traffic management, rate limiting, routing, and API observability.

Solid experience with observability tooling, including Splunk, AppDynamics, Instana, or similar solutions-covering log analytics, metrics, traces, dashboards, alerting, and SLO-based monitoring.

Ability to diagnose and resolve complex production issues, perform root cause analysis (RCA), and implement preventative measures.

Familiarity with SRE best practices, including error budgets, SLIs/SLOs, incident response, post-mortems, automation, and continuous improvement.

Candidates should have 5-7 years of relevant experience, primarily in operations support, with administrative support experience also considered highly desirable.