Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
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.
