G17 - DevOps Engineer

Role Overview:

You own day-2 service & runtime operations (availability, latency, incident response, release health, capacity, cost & compliance optimisation) for Litmus & Sentinel atop a managed EKS + IaC foundation. You turn operational signals (latency, error budgets, drift, saturation) into continuous improvement. Partner closely with the platform (EKS / Terraform) team, security, and data science to ensure resiliency and regulated data handling while reducing toil and configuration drift.

Job Responsibilities:

• Design & own service observability usage model: ensure all service metrics, logs, traces flow into Elastic Cloud (authoritative); maintain dashboards & SLOs; evaluate pragmatic use of CloudWatch, AWS Managed Prometheus / Grafana for supplemental or fallback views.
• Build proactive, noisereduced alerting and incident response playbooks; drive postincident RCA & remediation tracking (closure SLA).
• Optimize service performance (profiling, caching layers, autoscaling heuristics, concurrency tuning) meeting latency & throughput targets.
• Implement secure supply chain & runtime controls (image scanning, SBOM consumption, secrets management, TLS / mTLS) leveraging shared platform tooling.
• Curate operational runbooks, golden dashboards, reliability readiness + production readiness checklists.
• Integrate model / guardrail service telemetry (latency, queue depth, GPU/CPU utilization) into unified Elastic Cloud views.
• Support compliance & audit evidence collection (access logs, config lineage, change histories) via automated evidence capture fed into Elastic.
• Introduce configuration drift detection & policy-as-code guardrails (OPA / Kyverno) at the workload / namespace layer to enforce baseline controls.
• Mentor engineers on production readiness, observability patterns, and operational excellence; evolve on-call playbooks.
• Participate in (and improve) an equitable on-call rotation focusing on sustainable alert volumes & burnout prevention.

Qualifications:

• 4+ years (or equivalent impact) in SRE / Production Ops / Platform / Reliability for SaaS or high-throughput services.
• Working knowledge of AWS & Kubernetes (deployment, troubleshooting, networking concepts) sufficient to collaborate effectively with platform owners (not necessarily owning cluster upgrade orchestration).
• Familiarity with Infrastructure as Code & GitOps (Terraform, Argo, etc.) to consume modules, review changes, and enforce policy.
• Observability implementation & usage (metrics, logs, traces, profiling) with Elastic Cloud; understanding of Prometheus / OpenTelemetry concepts.
• Proven on-call & incident management experience (triage, MTTR reduction, RCA authorship).
• Scripting / automation in Python, Bash, or Go for ops tooling.
• Security & compliance aware: vulnerability management, image scanning, supply chain controls.
• Clear, concise communication of operational risk & trade-offs to technical + non-technical stakeholders.

Preferred / Bonus Qualifications:

• Progressive delivery (Argo Rollouts / Flagger) or service mesh (Istio / Linkerd) integration experience.
• Cost optimisation track record (e.g. 20% reduction without SLO regression) & sustainability metrics (kWh / request).
• Policy-as-code (OPA / Kyverno) & compliance-as-code implementations.
• Disaster recovery game day facilitation / chaos engineering tooling.
• Familiarity with data / audit frameworks in public sector contexts.