We are looking for a DevOps Engineer to join our DevOps team. You will focus exclusively on AWS and Amazon EKS, automating infrastructure with Terraform, orchestrating containers via EKS, building robust CI/CD with GitOps, and implementing strong monitoring/observability + AWS EKS IAM concepts to support secure, high-performance, cost-optimised systems. You will work closely with developers and SREs in an automation-first, collaborative culture.
Build and maintain robust CI/CD pipelines for automated testing, deployment, and rollouts in AWS/EKS.
Manage and optimize Amazon EKS clusters for container orchestration in production.
Implement and evolve Infrastructure as Code (IaC) using Terraform on AWS.
Support live production AWS/EKS environments, including on-call rotation, incident response, root cause analysis, and blameless post-mortems.
Automate provisioning, configuration, scaling, observability, and secure workload access across AWS services.
Collaborate on improving system reliability, observability, security (DevSecOps/EKS IAM), and AWS cost optimization.
Strong Linux system administration (file systems, processes, networking, troubleshooting, bash scripting).
Scripting & programming in Python and Bash/Shell; Go/Typescript is a nice-to-have.
Git workflows, branching strategies, and version control best practices.
Proficiency with AWS (core services like EC2, VPC, IAM, S3, RDS, Lambda, EKS, CloudWatch, etc.; production-grade experience required).
Solid experience with Amazon EKS (cluster creation/management, node groups, add-ons, upgrades, scaling, troubleshooting).
Infrastructure as Code (IaC) expertise, with Terraform strongly preferred (AWS provider/modules experience a must).
Familiarity with Helm charts and Kustomize (for packaging, templating, versioning, and deploying Kubernetes applications/add-ons in EKS environments).
Hands-on building and maintaining CI/CD pipelines using GitHub Actions or GitLab CI/CD, plus ArgoCD (GitOps).
Experience with monitoring/observability tools (Prometheus, Grafana, ELK stack, Datadog, OpenTelemetry) – including metrics, logs, traces, dashboards, alerting, and integration with AWS services (e.g., CloudWatch, X-Ray).
Solid understanding of AWS EKS IAM concepts, especially for EKS, including:
- IAM Roles for Service Accounts (IRSA)
- EKS Access Entries and Access Policies (Cluster Access Management API)
- EKS Cluster IAM Role and Node IAM Role configuration/management
- Principle of least privilege, temporary credentials, avoiding over-permissive roles, credential isolation, and integration between IAM and Kubernetes RBAC
Experience analysing and optimising AWS costs using tools such as AWS Cost Explorer, Compute Optimizer, and EKS workload right-sizing.
3+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), infrastructure engineering, or closely related roles (focused on AWS/EKS environments).
Proven track record building and maintaining production-grade CI/CD pipelines with AWS/K8S.
Bachelor's degree in Computer Science, Engineering, IT or equivalent practical experience (degree-optional – we value hands-on AWS/EKS impact most).
Excellent problem-solving and troubleshooting, especially under pressure in production AWS/EKS setups.
Automation-first mindset with a passion.
Growth mindset – eagerness to continuously learn, adapt to evolving AWS/EKS technologies and best practices, embrace challenges as opportunities for improvement, and turn incidents/post-mortems into actionable learning for personal and team growth.
Proven ability to collaborate effectively with cross-functional stakeholders, including engineering, SRE, security, and product teams.
Maintain clear technical documentation, runbooks, and operational playbooks for production systems.
