DevOps Engineer

Cloud & Platform Architecture 

• Design, plan, and architect end-to-end cloud infrastructure on AWS — VPC topology, IAM strategy, service networking, multi-account structure, and cost governance 
• Own Kubernetes cluster operations across environments: provisioning, upgrades, RBAC hardening, network policies, autoscaling, and node lifecycle management 

Delivery Pipelines & Automation 

• Build and maintain GitOps delivery pipelines with ArgoCD — ensuring every deployment is auditable, rollback-ready, and environment-aware 
• Author reusable, modular infrastructure as code with Terraform and Terragrunt, including safe remote state management and workspace patterns 
• Design and maintain CI/CD workflows in GitHub Actions — multi-stage pipelines, build matrix strategies, environment promotion gates, and secret injection via Doppler 
• Manage artifact lifecycles through JFrog Artifactory and enforce container image policies from build through registry to production 
• Integrate SonarQube into the delivery pipeline to surface vulnerabilities and enforce quality gates before code ships 
• Integrate with security vulnerability detection tools to enable quality validations

Observability & Security 

• Stand up and own DataDog observability end-to-end: dashboards, APM traces, log pipelines, synthetic checks, and SLO tracking tied to real service agreements 
• Establish security-first infrastructure practices — threat modelling, least-privilege access, compliance controls, and structured incident response runbooks 

Platform Enablement & Team Leadership 

• Partner with engineering teams to define platform standards, golden-path tooling, and self-service infrastructure patterns that reduce toil 
• Actively use and promote advanced AI tools (e.g., GitHub Copilot, Cursor AI, ChatGPT plugins) to improve development productivity 
• Mentor team members and contribute to a collaborative, innovation-driven engineering culture 

Reporting Relationships 

Reports to a Manager or Senior Manager within IDT's platform engineering / DevOps practice. Partners with global engineering teams on platform standards and self-service tooling, and mentors junior engineers. 

Qualifications 

Required 

• 5+ years in DevOps, Platform Engineering, or Site Reliability Engineering with meaningful production ownership 
• Deep, hands-on AWS expertise — EKS, IAM, VPC, RDS, S3, CloudFront, and the services that surround them 
• Strong Kubernetes command: has built clusters, debugged scheduling failures, and hardened them for real workloads 
• Production experience with a GitOps toolchain; ArgoCD experience strongly preferred 
• Terraform at scale — modules, remote state, workspace strategy, and team-safe workflows; Terragrunt a clear advantage 
• GitHub Actions pipeline authoring — knows how to keep pipelines fast, secure, and easy for others to maintain 
• Docker fluency from base-image selection through multi-stage build optimization and vulnerability scanning 
• Hands-on DataDog experience building observability from the ground up, not just reading pre-built dashboards 
• Security-first mindset evidenced in day-to-day approach to secrets, credentials, access control, and dependency hygiene 
• Clear, precise written communication — architecture decisions, runbooks, and post-mortems worth sharing with the team 
• Excellent problem-solving, communication, and team collaboration skills 
  • Bachelor's degree (minimum three-year program) in Computer Science, Engineering, or a related technical field