Senior/Lead AWS DevOps Engineer (IRC284725)

Job Description

Must have:

• Strong hands-on experience with AWS cloud platform, including services such as ECS (Fargate), Lambda, API Gateway, DynamoDB, ElastiCache, OpenSearch, VPC networking, and AWS Security Hub
• Deep experience with Infrastructure as Code using Terraform, including designing reusable modules and managing multi-environment, multi-region infrastructure
• Strong experience designing and maintaining CI/CD pipelines (GitLab CI)
• Strong scripting and automation skills using Python / PowerShell / Bash
• Experience implementing automation-driven infrastructure and deployment processes
• Experience implementing GitOps or automated infrastructure lifecycle management
• Strong knowledge of Git workflows and collaborative development practices
• Experience implementing security and compliance controls in cloud infrastructure and CI/CD pipelines
• Ability to design secure, scalable cloud infrastructure platforms with security embedded by default

Nice to have:

• Experience with Datadog monitoring and observability platform
• Experience working with multi-account AWS environments
• Knowledge of Linux and Windows environments
• Experience integrating cloud security tooling (Orca Security or similar)
• Experience designing cloud governance frameworks, guardrails, and security policies
• Experience designing infrastructure governance and guardrails
• AWS or Terraform certifications

Job Responsibilities

Platform Engineering

• Design and develop automation frameworks for provisioning, deploying, and managing cloud infrastructure
• Build and maintain reusable Terraform modules and shared infrastructure components
• Ensure infrastructure modules and automation frameworks include security controls, secure defaults, and compliance guardrails
• Develop, improve and standardize CI/CD pipelines and deployment automation across services and environments
• Develop self-service infrastructure capabilities that allow engineering teams to provision environments and services through automation
• Identify and eliminate manual operational processes through automation and platform capabilities

Developer Enablement

• Work closely with development teams to improve deployment workflows and development lifecycle efficiency
• Enable teams through automation, tooling, and self-service infrastructure capabilities

Platform Reliability & Observability

• Improve platform monitoring, observability, and operational visibility using tools such as Datadog
• Ensure security and reliability best practices are integrated into infrastructure and deployment automation

Department/Project Description

GL Healthcare Division Program is looking for a DevOps Engineer to join the Reliability Engineering team responsible for the mission-critical medical data processing systems infrastructure development and operation.

We have a trusted relationship with the Client, a multinational MedTech corporation with which we have been cooperating for over 20 years.