FinOps Engineer, Cloud & Kubernetes Optimization

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a FinOps Engineer, Cloud & Kubernetes Optimization based in the United States.

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.

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Accountabilities

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Develop functional and technical solutions to address complex business requirements, leveraging cloud infrastructure, Kubernetes, and cost optimization expertise.

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Collaborate with business stakeholders, engineering teams, and technical specialists to troubleshoot issues and deliver solutions across multiple business areas.

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Support cloud financial management initiatives by identifying opportunities to optimize infrastructure spending, improve resource utilization, and increase cost transparency.

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Contribute to the design, configuration, implementation, and maintenance of enterprise software solutions and cloud-based platforms.

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Plan, execute, and review module-level and integration testing to validate functionality, ensure solution quality, and identify potential issues.

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Lead functional review sessions for complex requirements, document decisions, and translate business needs into actionable product features and user stories.

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Configure and maintain third-party software, assess new releases, evaluate available features, and use vendor support resources to troubleshoot defects.

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Apply knowledge of APIs, scripting, Terraform, and cloud platform capabilities to support automation, infrastructure optimization, and operational efficiency.

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Evaluate proposed software and technical solutions against business objectives, architectural requirements, and technology roadmaps.

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Manage issues, dependencies, and delivery obstacles associated with assigned product features and technical initiatives.

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Provide technical guidance, training, and knowledge-sharing to colleagues and end users, helping strengthen team capabilities and promote consistent practices.

Requirements

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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.

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

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

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

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

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

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

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

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

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

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

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

Benefits

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Competitive annual salary: $98,100–$167,850, depending on experience and qualifications.

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Fully remote work: Work from home within the United States, subject to the role's remote-work requirements.

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Technology equipment: Comprehensive home-office setup, including a laptop, monitors, headset, keyboard, and mouse.

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Internet reimbursement: Monthly connectivity reimbursement for eligible remote employees.

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Healthcare coverage: Access to medical, dental, and vision benefits.

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Retirement planning: Access to a 401(k) retirement savings plan.

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Work-life support: Opportunities to work in an environment that encourages innovation, professional development, and meaningful contributions.

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Career growth: The opportunity to deepen expertise in cloud financial management, Kubernetes optimization, infrastructure automation, and enterprise technology solutions.

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Inclusive workplace: Equal employment opportunities and a commitment to a professional environment that values diverse backgrounds and perspectives.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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