DevOps Engineer

Key Responsibilities

• Lead production incident management, major incident response, root-cause analysis, and blameless postmortems.
• Embed reliability practices across the software development lifecycle and define KPIs, SLIs, SLOs, SLAs, and error budgets.
• Drive AI-assisted incident, problem, change, and risk management.
• Automate operational processes, recovery, failover, scaling, and self-healing capabilities.
• Implement Infrastructure as Code, CI/CD pipelines, automated testing, and deployment strategies.
• Build and improve observability across metrics, logs, and traces.
• Design resilient, highly available platforms with fault tolerance, disaster recovery, and multi-region capabilities.
• Investigate complex platform failures, performance bottlenecks, and systemic reliability issues.

Essential Skills & Experience

• Strong experience in SRE, DevOps, or Platform Engineering within large-scale, regulated environments.
• Expertise in on-premise infrastructure and AWS cloud-native architecture.
• Hands-on experience with AWS services including EKS/ECS, Lambda, API Gateway, DynamoDB, Aurora, and S3.
• Observability tools such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, CloudWatch, or Datadog.
• Strong incident management, production support, and operational resilience experience.
• Proficiency in CI/CD, Git, scripting, automation, and IaC tools such as Python, Go, Ansible, and Terraform.
• Demonstrable experience applying agentic AI to observability, incident management, and automated recovery.
• Strong understanding of networking, security, Linux/Unix, and reliability engineering.
• Experience supporting or developing applications using Java, C#/.NET, Python, and databases including SQL Server, Sybase, and PostgreSQL/Aurora.

Desirable Experience

• Financial services or other data-intensive, regulated industries.
• Mission-critical applications and multi-region AWS architectures.
• Chaos engineering, resilience testing, AIOps, and intelligent automation frameworks.