Description

Job description:

Define, implement, and maintain observability (monitoring, logging, tracing) and actionable ing aligned to service health.

Drive incident management: on-call readiness, triage, incident command support, communications, and post-incident reviews (RCA).

Reduce operational toil through automation (runbooks-to-automation, self-healing, deployment/rollback automation).

Establish reliability standards: SLOs/SLIs, error budgets, production readiness reviews, and release risk controls.

Performance and reliability engineering: capacity planning, load/performance analysis, resilience testing, and failure-mode mitigation.

Partner with engineering teams to improve operational hygiene (deployability, rollback strategy, configuration, secrets, dependency management).

Skills
Required

·         Strong grounding in SRE/DevOps practices: incident management, blameless postmortems, SLOs/SLIs, error budgets, production readiness.

·         Experience building/operating monitoring and ing, and using logs/metrics to diagnose issues.

·         Automation/scripting skills (e.g., Python, PowerShell, Bash) and ability to reduce manual operational work.

·         Strong understanding of cloud-based platforms such as Azure DataBricks + Unity Catalog, AWS S3 and RDS.

·         Strong experience in ETL / ELT work.

·         Understanding of CI/CD concepts, safe deployment patterns, rollback strategies, and change risk controls.

Preferred

·         Experience with cloud environments and infrastructure-as-code.

·         Experience with large datasets (Multi-million row datasets).

·         Experience with container orchestration and modern runtime platforms (where applicable).

Experience building dashboards and reliability reporting for executives and delivery teams

Key Skills

Education

Any Graduate