Senior Infrastructure Engineer (observability) Relocation

Senior Infrastructure Engineer (Observability) Relocation

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper. You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices. Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

What You'll Work On

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)
• Scaling observability infrastructure across multiple data centers and Kubernetes clusters
• Owning logging pipeline architecture and refactoring efforts
• Improving distributed tracing coverage and driving adoption across engineering teams
• Managing EKS upgrades, node exporters, agents, and collectors
• Automating operational tasks to reduce toil and improve system stability
• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)
• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Core Technical Experience

• 8+ years of industry experience
• Solid hands-on production experience with observability systems
• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)
• Experience with logging pipelines: design, deployment, and refactoring
• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing
• Experience with Kubernetes cluster lifecycle management (EKS preferred)
• Practical knowledge of storage trade-offs for observability data at scale

Nice to Have

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)
• Familiarity with AI-assisted tooling selection and workflow integration
• Experience with MCP (custom or open-source implementations)
• Background in cloud account or environment migrations
• Experience preparing infrastructure for compliance/audit processes
• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.
• Experience with containers and Kubernetes (installation and configuration of operators).
• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.
• Interest in modern big distributed storage technologies, architectures.
• Good Spoken English to participate in product-related, architectural and technical discussions.
• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)