Company Description
Vitol is a leader in the energy sector with a presence across the spectrum: from oil through to power, renewables and carbon. From 40 offices worldwide, we seek to add value across the energy supply chain, including deploying our scale and market understanding to help facilitate the energy transition. To date, we have committed over $2 billion of capital to renewable projects, and are identifying and developing low-carbon opportunities around the world.
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.
Job Description
As part of Vitol’s global Cloud & Platform Engineering team, based in Singapore, you will play a key role in operating, improving, and evolving our shared platform, CI/CD, and cloud capabilities across the organisation.
This role combines strategic input, hands-on engineering, platform and tooling development, and operational ownership. You will primarily focus on building and improving shared platform capabilities, while contributing to roadmap direction and ensuring the reliable day-to-day operation of the platforms we support.
You will
- Contribute to the roadmap and continuous improvement of Vitol’s global shared platforms, CI/CD capabilities, and cloud platform services.
- Build and operate platform tooling, automation, CI/CD pipelines, templates, and deployment services across hybrid cloud and on-premises environments.
- Own platform reliability and operational support, including incident response, problem resolution, upgrades, and lifecycle management.
- Partner with Software Development teams to improve developer experience and enable safe, reliable, and efficient application delivery.
- Work with Cyber Security to embed secure practices across cloud, automation, CI/CD, and shared platforms, including access controls, secrets management, vulnerability remediation, and hardening.
- Collaborate with a global team on follow-the-sun support, knowledge sharing, standards, and operational consistency.
Qualifications
- 3+ years of experience building and operating CI/CD platforms supporting .NET and/or Python application environments.
- 3+ years of experience operating and supporting global enterprise-scale bespoke and/or commercial platforms.
- 3+ years of experience with cloud platform engineering, including building and operating reusable cloud infrastructure, automation, and platform services in an AWS-based hybrid environment.
- Experience working across both Windows and Linux environments, including their operating systems, tooling, and ecosystems.
- Hands-on experience with CI/CD, infrastructure-as-code, source control, container, and artefact tooling such as Jenkins, Terraform, GitLab/GitHub, AWS ECS, and optionally Nexus.
- Experience operating one or more shared enterprise platforms such as Kafka, Redis, Atlassian Suite, Elastic, Datadog, ActiveBatch, or Prefect.
- Scripting experience in one or more of Python, Bash, or PowerShell.
- Interest in applying AI-enabled engineering practices to improve platform operations, developer experience, CI/CD automation, and support workflows.
- Excellent communication and interpersonal skills, with the ability to engage effectively with development, infrastructure, security, and business stakeholders.
- A track record of owning issues and objectives, independently driving them to high-quality outcomes.
- Proactive and user-focused, with a can-do attitude and interest in both the functional and technical aspects of each challenge.
- Self-motivated, with the ability to meet deadlines and manage changing priorities.
- Excellent written and spoken English.
Qualifications and skills that will help you stand out
- Previous experience in the commodities and/or trading industry.
- Tangible contribution to CI/CD strategy in an enterprise setting.
- Software development background in .NET or Python.
- Experience using AI-assisted development tools such as Claude Code, Codex or GitHub Copilot to improve engineering productivity, code quality, and automation delivery.
- Experience developing internal developer AI tools, agents, or integrations using protocols such as MCP.
- SecOps experience, including working with platforms such as HashiCorp Vault.
- Previous experience in an AWS Cloud Engineer role.
- Working knowledge of GCP or Azure.