DevOps Engineer

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 Youll 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

• Bachelors 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 possibleknowing 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.

Remote Work :

No

Employment Type :

Full-time