Senior DevOps Engineer

Senior SRE / DevOps Engineer – AWS

Job Summary

We are seeking a highly experienced Senior Site Reliability Engineer / DevOps Engineer with 12+ years of experience in cloud infrastructure, SRE, DevOps automation, Kubernetes, and observability. The ideal candidate will have strong hands-on experience with AWS, EKS, Terraform, CI/CD, Datadog, CloudWatch, Splunk, OpenTelemetry, and Python automation.

Key Responsibilities

• Design, implement, and maintain highly available and scalable AWS cloud infrastructure.
• Manage and optimize Amazon EKS/Kubernetes environments across development, staging, and production.
• Develop reusable Terraform modules and implement Infrastructure as Code for AWS services.
• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, and Harness.io.
• Implement blue/green and canary deployment strategies with automated rollback and approval controls.
• Establish and maintain SLIs, SLOs, and error budgets for distributed applications and microservices.
• Develop enterprise-wide observability and monitoring solutions using Datadog, AWS CloudWatch, Splunk, and OpenTelemetry.
• Design centralized log collection, routing, filtering, and transformation using Cribl and Kinesis Firehose.
• Deploy and manage OpenTelemetry Collectors for metrics, logs, and distributed traces.
• Develop automation using Python, Bash, YAML, and JSON to reduce operational toil and improve engineering efficiency.
• Support incident response, troubleshooting, root-cause analysis, runbook development, and reliability improvements.
• Implement cloud security, RBAC, IAM, compliance controls, and security logging across AWS environments.
• Collaborate with Azure teams to extend observability and monitoring across hybrid-cloud environments.
• Mentor junior engineers and participate in architecture reviews, code reviews, and technical design discussions.

Required Skills

• 12+ years of experience in DevOps, SRE, Cloud Infrastructure, or Platform Engineering
• Strong hands-on experience with AWS
• Expert-level experience with Kubernetes and Amazon EKS
• Strong Terraform / Infrastructure as Code experience
• Experience with CI/CD automation using GitHub Actions, Jenkins, or Harness
• Strong experience with Datadog and AWS CloudWatch
• Experience with Splunk / Splunk Enterprise Security
• Hands-on experience with OpenTelemetry
• Experience with Cribl and enterprise log management
• Strong understanding of SLI, SLO, SLA, and Error Budget concepts
• Strong scripting/automation skills with Python and Bash
• Experience with Docker, Helm, GitOps, and ArgoCD
• Knowledge of AWS services including EC2, EKS, S3, RDS, Lambda, VPC, IAM, Secrets Manager, DynamoDB, Kinesis, and EventBridge
• Strong incident management and production troubleshooting experience

Preferred Skills

• Microsoft Azure / Azure Databricks
• Snowflake
• Security data lake architecture
• OpenTelemetry Collector
• Blue/green and canary deployments
• Cloud governance and multi-account AWS environments
• Agile/Scrum methodology
• ITIL practices

Domain / Experience

• Enterprise Cloud Infrastructure
• Site Reliability Engineering
• Financial Services / Investment Management
• Security & Observability
• Hybrid Cloud
• Enterprise DevOps and Platform Engineering