Cloud / DevOps Engineer
The Berkeley
United States
3 months 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
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).
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