About the Role
The company is looking for a Senior Full Stack Engineer to join its digital and AI solutions team, building next-generation applications that support the transformation of oil and gas operations. The role involves developing scalable, cloud-native full-stack systems that integrate advanced AI capabilities into real-world industrial use cases. You will work across backend and frontend technologies to deliver high-performance applications, while collaborating closely with AI engineers, data scientists, and domain experts to translate complex requirements into robust, production-ready solutions. We encourage the use of AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery — but ownership stays with the engineer: you're expected to understand, validate, and stand behind everything shipped.
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Responsibilities
- Design, develop, and maintain scalable full-stack applications supporting AI-driven solutions for oil & gas operations.
- Develop responsive and performant frontend applications using modern JavaScript frameworks (React, Angular, or equivalent).
- Build robust backend services and APIs using modern frameworks (e.g., Python/FastAPI, Node.js) following microservices and event-driven architecture.
- Work with large-scale structured and unstructured data through APIs, data services, and integration layers.
- Collaborate closely with AI engineers, data scientists, and domain experts to translate requirements into scalable digital products.
- Design and implement cloud-native solutions using AWS, Azure, or GCP, including containerized deployments (Docker, Kubernetes).
- Integrate AI/ML services and models (developed by data science teams) into production-grade applications.
- Ensure application performance, scalability, security, and reliability across distributed systems.
- Contribute to system design, architecture discussions, and engineering best practices, with growing ownership over key technical decisions.
- Use AI coding assistants and agentic dev tools to accelerate implementation and testing, while applying strong engineering judgment to review and validate AI-generated output before it ships.
- Participate in CI/CD automation, DevOps workflows, and continuous improvement of delivery pipelines.
- Support integration with industrial systems and data sources (e.g., IoT, SCADA, enterprise platforms).
- Mentor junior and mid-level engineers on full-stack best practices, including effective and responsible use of AI-assisted tooling.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
- 5–8 years of experience in full-stack software development.
- Strong experience in backend development using Python (FastAPI or similar) and/or Node.js.
- Proven experience building frontend applications using React, Angular, or similar SPA frameworks with TypeScript.
- Solid understanding of microservices architecture, RESTful APIs, and distributed systems design.
- Experience working with relational and NoSQL databases (PostgreSQL, MongoDB, etc.).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Experience with CI/CD pipelines, Git-based workflows, and modern DevOps practices.
- Familiarity with integrating AI/ML services or data-driven APIs into applications (consuming — not building models).
- Understanding of event-driven architecture and messaging systems (e.g., Kafka, RabbitMQ).
- Demonstrated experience using AI-assisted development tools in a production engineering workflow, with a track record of maintaining high code quality and ownership standards despite (or because of) increased velocity.
- Strong problem-solving skills with ability to work independently in agile environments.
- Prior experience mentoring engineers or leading technical initiatives is a plus.
- Experience in oil & gas, energy, or industrial digitalization environments is a strong advantage.
What Working Offers
- Culture: Encouraging initiative, work in an environment that is fast-paced and varied, surrounded by talented peers from around the world, who are similarly attracted to applying their skills to solve transformational challenges.
- Career: Join a team in which your contribution is recognized and rewarded, while you are supported to operate at your peak performance.
- Rewards: An attractive remuneration package that includes healthcare, education support for dependents, leave benefits, and more.
