FinOps Engineer, Cloud & Kubernetes Optimization

In this role, you will help optimize cloud infrastructure costs while improving the efficiency, scalability, and reliability of enterprise technology platforms. You will combine FinOps principles with hands-on expertise in Kubernetes, cloud infrastructure, automation, and cost optimization. Working across business and technical teams, you will translate complex requirements into practical solutions that deliver measurable operational and financial value. You will contribute to technical designs, software configurations, testing activities, and continuous improvement initiatives across multiple business functions. The role also involves evaluating new technologies, resolving technical challenges, and improving cloud resource utilization. This is an opportunity to influence cloud strategy and support innovative, cost-effective technology operations within a collaborative, enterprise-scale environment.

• A bachelor's degree is preferred, ideally in computer science, information technology, engineering, or a related discipline. An equivalent combination of education and professional experience may also be considered.

• At least 5 years of relevant professional experience is preferred, particularly in cloud infrastructure, technical solution delivery, platform operations, or related technology environments.

• Knowledge of FinOps principles, cloud economics, cost management, and IT cost optimization techniques.

• Hands-on familiarity with Kubernetes and enterprise cloud platforms, including cloud infrastructure management and resource optimization.

• Experience with Terraform or similar infrastructure-as-code tools, scripting, and automation techniques.

• Understanding of APIs, software configuration, application integrations, and technical troubleshooting.

• Ability to analyze complex business and technical requirements and translate them into functional designs and actionable solutions.

• Experience supporting software testing, integration activities, release reviews, defect resolution, and continuous improvement initiatives.

• Strong analytical and problem-solving skills, with the ability to identify inefficiencies and recommend practical, data-driven improvements.

• Excellent communication and collaboration skills, including the ability to work effectively with technical teams, business stakeholders, and software vendors.

• Strong organizational skills, attention to detail, and the ability to manage multiple priorities while maintaining delivery quality.

• A proactive mindset, willingness to learn new technologies, and the ability to provide guidance and knowledge-sharing to colleagues.