Senior DevOps / SRE Engineer

JD - Senior DevOps / SRE Engineer

Experience: 5–6 Years Department: Technology / Engineering Employment Type: Full-Time Reporting To: Engineering Manager / IT Manager

About the Role

We are looking for a Senior DevOps / SRE Engineer with 5–6 years of experience to own the reliability, scalability, observability, security, automation, and cost efficiency of our technology platform.

The role is highly hands-on and requires strong experience with AWS, Kubernetes/EKS, CI/CD, Infrastructure as Code, monitoring, incident management, and cloud cost optimization.

Key Responsibilities

DevOps & Cloud Infrastructure

• Design, manage, and optimize production infrastructure on AWS.
• Manage services including EKS, EC2, RDS, S3, ECR, ElastiCache, VPC, IAM, Load Balancers, Route 53, CloudFront, and CloudWatch.
• Manage production and non-production environments.
• Implement highly available, scalable, secure, and cost-efficient infrastructure.
• Troubleshoot infrastructure, networking, and production issues.

Kubernetes & CI/CD

• Strong hands-on ownership of Kubernetes / AWS EKS.
• Manage deployments, services, ingress, HPA, RBAC, secrets, namespaces, and node groups.
• Troubleshoot pod, node, networking, resource, and scheduling issues.
• Use Helm for application deployments.
• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement automated deployments, rollbacks, and release processes.

SRE & Reliability

• Define and monitor SLIs, SLOs, and SLAs for critical services.
• Improve system availability, resilience, performance, and scalability.
• Implement proactive monitoring, alerting, health checks, and automated recovery.
• Reduce operational toil through automation.
• Participate in production incident management and on-call activities.
• Lead RCA and postmortems for major incidents.
• Drive corrective and preventive actions.

Observability

• Build and maintain monitoring, logging, and distributed tracing.
• Work with tools such as Datadog, Prometheus, Grafana, CloudWatch, OpenTelemetry, Fluent Bit, or ELK/OpenSearch.
• Create actionable dashboards and alerts.
• Monitor latency, traffic, errors, saturation, infrastructure health, and service availability.

Infrastructure as Code & Automation

• Manage infrastructure using Terraform or equivalent IaC tools.
• Automate infrastructure provisioning, deployments, scaling, backups, and operational processes.
• Build reusable infrastructure and deployment components.
• Minimize manual operational activities.

Security & Disaster Recovery

• Implement AWS and Kubernetes security best practices.
• Manage IAM, secrets, access controls, and infrastructure security.
• Implement backup, disaster recovery, RTO/RPO, and high-availability strategies.
• Regularly test recovery and failover procedures.

Cloud Cost Management / FinOps

• Own BU-level cloud cost visibility, allocation, and optimization.
• Implement resource tagging by BU, application, environment, and project.
• Monitor AWS spend and budget vs actuals.
• Identify cost anomalies and unnecessary/underutilized resources.
• Optimize EKS/EC2, RDS, Redis, S3, logging, and data-transfer costs.
• Build cost dashboards and reports for Business and Finance teams.
• Drive measurable cloud cost savings without compromising reliability or performance.

Required Skills

• 5–6 years of hands-on DevOps / SRE / Cloud Engineering experience.
• Strong AWS experience.
• Strong Kubernetes / EKS experience.
• Strong Docker and Linux experience.
• Strong CI/CD experience.
• Experience with Terraform and Helm.
• Strong scripting skills in Bash, Python, or Go.
• Strong monitoring and observability experience.
• Experience handling production incidents and conducting RCA.
• Good understanding of networking, security, and cloud architecture.
• Understanding of SRE principles: SLI, SLO, SLA, Error Budgets, MTTR, capacity planning, and incident management.
• Experience with cloud cost management / FinOps is highly preferred.

Good to Have

• Datadog
• Prometheus / Grafana
• OpenTelemetry
• Kafka
• Redis / ElastiCache
• PostgreSQL / RDS
• ArgoCD / GitOps
• OpenCost
• AWS certifications

Key Success Metrics

• Production availability and SLO achievement
• Reduction in MTTR and recurring incidents
• CI/CD reliability and deployment success
• Infrastructure automation
• Observability and alert coverage
• Kubernetes health and resource utilization
• Disaster recovery readiness
• BU-level cloud cost visibility and optimization
• Measurable cloud cost savings

Desired Candidate Profile

A hands-on engineer who thinks beyond deployment and focuses on: Reliability + Automation + Observability + Security + Scalability + Cost Efficiency Someone who can own the platform from AWS → Kubernetes → CI/CD → Monitoring → Incident Response → Automation → Cost Optimization.