Senior Aws Devops & Sre – Eks, Terraform, Ci/Cd (Remote)

Bluelightconsulting

Quilmes

Remote

ARS 1,400,000 - 2,800,000

Full time

10 days ago

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Job summary

Bluelightconsulting seeks a skilled DevOps Specialist to architect and maintain end-to-end CI/CD pipelines using GitHub Actions, with a strong emphasis on test-driven deployment and Infrastructure as Code (IaC) practices.

The role includes automating build, tagging, and publication across web, desktop, and mobile platforms, and requires deep Linux system administration, networking, and secure deployment expertise to deliver scalable, highly available solutions.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
  • 3+ years of hands-on experience architecting and maintaining CI/CD pipelines using GitHub Actions at scale in production.
  • Strong proficiency in test-driven deployment methodologies and automated test suites for integration and end-to-end validation.
  • Expertise in containerization technologies such as Docker, including image creation, registry management, and basic orchestration patterns.
  • In-depth knowledge of CMake and native build/deployment pipelines.
  • Advanced Linux system administration and networking skills including shell scripting, package management, and performance troubleshooting.
  • Experience with IaC tools such as Terraform, Ansible, AWS CDK or CloudFormation.
  • Experience with mobile CI/CD automation for iOS and Android.
  • Advanced knowledge of release management practices including automated versioning, signing, and artifact distribution.

Responsibilities

  • Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions and similar tools.
  • Implement test-driven deployment systems with automated testing and monitoring.
  • Containerize applications and microservices with Docker and optimize image builds.
  • Develop cross-platform build pipelines using CMake for web, desktop, and mobile releases.
  • Automate end-to-end release processes including tagging, building, signing, and distributing apps.
  • Define and manage IaC to provision reliable, scalable infrastructure.
  • Collaborate with development, QA, and operations to troubleshoot deployment issues.
  • Improve observability and feedback loops with monitoring and alerting.

Skills

CI/CD design
GitHub Actions
Docker
CMake
Linux administration

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Terraform
Ansible
AWS CDK
CloudFormation
Prometheus
Grafana

Job description

About the job

We are seeking a highly skilled DevOps Specialist to architect, implement, and maintain end‑to‑end CI/CD pipelines using GitHub, with a strong focus on test‑driven deployment, automated release management, and Infrastructure as Code (IaC) practices.

The role also includes automating build, tagging, and publication processes across web, desktop, and mobile platforms to ensure consistent and traceable releases. Deep expertise in Linux system administration, networking, and IaC tools is essential to deliver scalable, secure, and highly available deployments.

Responsibilities

Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery.

Implement and enforce test‑driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles.

Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments.

Develop and maintain cross‑platform build pipelines using CMake or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile.

Automate end‑to‑end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications.

Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments.

Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability.

Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence.

Mandatory

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

3+ years of hands‑on experience architecting and maintaining CI/CD pipelines using GitHub Actions or equivalent tools at scale in a production environment.

Strong proficiency in test‑driven deployment methodologies, including writing and maintaining automated test suites for integration and end‑to‑end validation.

Expertise in containerization technologies such as Docker, including image creation, registry management, and basic orchestration patterns.

In‑depth knowledge of C++ build systems, specifically CMake, with proven experience optimizing native build and deployment pipelines.

Advanced Linux system administration and networking skills, including shell scripting, package management, performance troubleshooting, firewalls, and VPN configuration.

Excellent communication, problem‑solving, and collaboration skills, with the ability to work effectively in globally distributed teams.

Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, AWS CDK or AWS CloudFormation.

Experience with mobile CI/CD automation, including build, tagging, and publication for iOS and Android applications.

Advanced knowledge of release management practices, including automated versioning, signing, and artifact distribution.

Preferred

Exposure to observability and monitoring systems, leveraging tools like Prometheus, Grafana, or ELK for deployment health tracking.

Experience working in high‑availability, security‑sensitive environments, especially in fintech, blockchain, or distributed systems contexts.

Experience deploying and managing blockchain‑based applications.

Exposure to AI/ML pipelines, including automated model training, evaluation, and deployment using frameworks like PyTorch or TensorFlow.

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