Job VC
Senior Python DevOps AWS Engineer (IRC283618)
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.