Cloud / DevOps Engineer

The Berkeley

United States

27 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Bash Shell Cloud Computing Cloud Engineering Continuous Integration DevOps Identity and Access Management Python (Programming Language) Key Management Linux System Administration Shell Script

+13 more

Datadog Data Logging Scripting Gitlab Gitlab-ci Kubernetes Machine Learning Operations Terraform New Relic (SaaS) Devsecops Docker Vulnerability Analysis Microservices

Job description

Looking for an experienced Senior Cloud / DevOps Engineer (8+ years exp) to design, build, and maintain secure, scalable AWS infrastructure and automated CI/CD pipelines. You will drive container orchestration, manage observability platforms, implement DevSecOps, and build modern platform infrastructure supporting AI/ML workflows., * Cloud Infrastructure: Design and maintain scalable, high-availability architecture on AWS.

Containers & K8s: Architect and manage microservices using Docker and Kubernetes (EKS).
CI/CD Pipelines: Build and optimize end-to-end automated workflows using GitLab CI.
Observability: Set up deep monitoring, logging, and proactive alerting via Datadog and New Relic.
Security & DevSecOps: Integrate security scans, IAM policies, and secrets management; support AI/ML infrastructure deployments.
Automation: Write production-level automation using Python and Shell Scripting in Linux environments.

Requirements

Experience: 5+ years in DevOps, Cloud Engineering, or Platform Operations.
Cloud & OS: Strong hands-on expertise with AWS & Linux system administration.
Containers: Production experience with Docker & Kubernetes (K8s).
CI/CD & Code: Expertise with GitLab / GitLab CI/CD.
Monitoring: Hands-on setup with Datadog and New Relic.
Scripting: Advanced proficiency in Python & Shell Scripting (Bash).
Security & AI: Experience with DevSecOps best practices and supporting AI/ML application infrastructure.

Bonus Points

AWS Certifications (Solutions Architect Professional or DevOps Engineer Professional).
Kubernetes Certifications (CKA / CKS).
Experience with Infrastructure as Code (Terraform).