Devops engineer h1.location_city

Job Description

We are looking for a talented and motivated DevOps Engineer to join our global Cloud and Platform Services team. In this role you will serve as a founding technical pillar for our AI "tiger team," transitioning early-stage AI experiments into hardened, enterprise-scale production environments while helping shape our broader CI/CD strategy.

What You’ll Do

• AI & Platform Engineering: Transition early-stage AI systems to scaled, enterprise-wide deployments. Build and operate the shared platform landscape, ensuring high availability and global support.
• Advanced CI/CD & Automation: Design, implement, and maintain CI/CD pipelines for both standard software and agentic AI workflows (LLMs, RAG services, and ML models), incorporating build, test, and evaluation gates.
• Cloud Architecture & Infrastructure: Architect and operate AWS cloud infrastructure (ECS, Lambda, S3, VPC) using Infrastructure-as-Code (Terraform). Integrate cloud resource creation directly into application deployment processes.
• Data & AI Operations (MLOps): Manage vector database infrastructure (OpenSearch, Pinecone) and implement MLOps workflows including model registries, versioning, and experiment tracking (SageMaker/MLflow).
• Security & Governance: Collaborate with Cyber Security to enforce secrets management (Secrets Manager), access controls, and compliance guardrails, with specific focus on LLM API governance and data residency.
• Observability & FinOps: Instrument full-stack observability (Datadog) across the platform and build cost-visibility dashboards to track GPU/CPU and LLM API spend.
• Cross-Functional Collaboration: Act as a thought-partner to AI teams to define standards, environment parity, and deployment runbooks.

Qualifications

• Experience: 5+ years in DevOps, MLOps, or Cloud Engineering. Previous experience in commodities or trading is highly preferred.
• Cloud & Containers: Deep expertise in AWS services and container orchestration (Docker, ECS) in hybrid environments.
• Automation Toolkit: Proficiency in Terraform and GitOps. Hands-on experience with Jenkins, GitHub Actions, or GitLab CI.
• AI/ML Specialized Skills: Experience with agent runtime environments (LangGraph, AgentCore).
• Familiarity with LLM evaluation (LangSmith, Ragas) and model serving.
• Management of Vector stores and embedding pipelines.
• Software Background: Strong proficiency in Python (required); ability to write automation scripts in Bash or PowerShell.
• Middleware & Ecosystem: Exposure to Kafka, Redis, Elastic, and Windows/Linux OS environments.
• Strong communication skills (written and verbal)

Education

• Bachelor’s degree in computer science, MIS, or a related field — or equivalent professional experience

Additional Information

Personal Characteristics

• Pragmatic Architect: A keen sense for the "art of the possible"—knowing when to engineer a permanent solution versus a pragmatic one.
• Proactive Owner: A self-motivated individual with a "can-do" attitude and a track record of driving complex objectives to a high-quality conclusion.
• Clear Communicator: Excellent interpersonal skills to drive interactions with global stakeholders and technical "tiger teams."
• Methodical & Detailed: Organized in system design and incident response, with high attention to detail and personal integrity.

Work Environment

• This job operates in a professional office environment. Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office.

All your information will be kept confidential according to EEO guidelines.