Senior AWS DevOps / SRE Engineer

Key Responsibilities: Design, implement, and manage highly available infrastructure on AWS. Develop and maintain DevOps/SRE practices focused on reliability, scalability, automation, and performance. Manage and troubleshoot Kubernetes clusters and containerized applications. Administer and troubleshoot Linux systems in production environments. Develop automation scripts and tools using Python. Build and maintain CI/CD pipelines for application and infrastructure deployments. Implement Infrastructure as Code using tools such as Terraform, CloudFormation, or Ansible. Monitor system health, availability, performance, and capacity using observability and monitoring tools. Participate in incident response, root-cause analysis, and production troubleshooting. Implement best practices for security, networking, access management, and cloud governance. Automate repetitive operational tasks to improve deployment speed and system reliability. Collaborate with application developers, architects, security teams, and infrastructure teams. Establish and improve SLOs, SLIs, SLAs, alerting, and reliability metrics. Support production releases, disaster recovery, capacity planning, and business continuity initiatives. Mandatory Skills: 8+ years of overall IT experience Strong hands-on experience with AWS Strong DevOps / Site Reliability Engineering (SRE) experience Strong experience with Kubernetes Advanced Linux system administration and troubleshooting Strong Python scripting/automation skills Experience with CI/CD pipelines Experience with Infrastructure as Code Strong production troubleshooting and incident management experience Understanding of cloud networking, security, scalability, and high availability

Preferred Skills: Terraform / CloudFormation Docker / containerization Jenkins, GitLab CI/CD, GitHub Actions, or similar Prometheus, Grafana, ELK, Datadog, Splunk, or similar monitoring tools AWS services such as EC2, EKS, S3, IAM, VPC, CloudWatch, Lambda, RDS Ansible Git Bash/Shell scripting Experience with distributed systems and microservices Experience with observability, performance tuning, and capacity management We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.