# Senior FinOps Optimization Engineer at Thales

Thales is hiring a Senior FinOps Optimization Engineer in Jakarta, Indonesia. Level rates it Little AI ●○○○; you can [apply on Thales](https://jobsbylevel.com/go/ba324b80-abf9-416e-a4e0-2c018385b157?utm_medium=ai-agent).

AI Level 1, AI centrality 35 out of 100. Jakarta.

## Details

- Company: [Thales](https://jobsbylevel.com/companies/thales)
- AI level: AI Level 1 (score 35 out of 100)
- Location: Jakarta
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/ba324b80-abf9-416e-a4e0-2c018385b157?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-finops-optimization-engineer-at-thales-04f567

## Description

Location: Jakarta, Indonesia Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust. Thales has been present in the Republic of Indonesia for 45 years in the defence, aerospace and space domains, delivering a wide range of civil and defence solutions that highlight our strong commitment to working with the Indonesian government and local stakeholders. In recent years, our innovative solutions in air traffic management systems and telecom satellites have further strengthened our presence in the country alongside our digital portfolio of solutions such as biometrics, data protection and cybersecurity now serving the needs of diverse customers in civil sectors. FinOps Engineering You will analyze cloud and platform usage, identify savings opportunities, develop scalable optimization tools, and work directly with IT squads to turn recommendations into measurable results. This role requires a strong combination of cloud engineering, data analytics, automation, financial reasoning, and stakeholder communication. We are looking for someone who can go beyond dashboards: someone who can explain why an optimization is technically safe, demonstrate how its value was calculated, support its implementation, and verify that the expected benefit was achieved. If you have hands-on experience with cloud cost optimization, Python or SQL, cloud billing data, automation, and engineering collaboration, we would like to hear from you. Key responsibilities Identify optimization opportunities Analyze cloud usage, billing, configuration, metrics, and business data to detect opportunities such as: Develop optimization tooling and automation Design, develop, and maintain tools that identify, prioritize, and track savings opportunities. Produce actionable recommendations Convert analytical findings into implementation-ready recommendations for users and IT squads Explain and defend recommendations Present optimization proposals to both technical and non-technical audiences. The key points are the identification and evidences of each recommendation. It is crucial to assess and describe what are the potential impacts and how performance is protected. Then taken decisions facilitated by explanations must be recorded. Partner with service or product teams Act as a FinOps partner to application, infrastructure, data, AI, and platform teams Measure and report optimization outcomes Establish transparent metrics and reporting for the optimization lifecycle is the foundation to bring confidence in the decision process. Required qualifications Technical experience Bachelor’s degree in computer science, engineering, information systems, finance, data analytics, or a comparable field, or equivalent professional experience Typically 10 or more years of experience in cloud engineering, FinOps, DevOps, cloud architecture, infrastructure operations, data engineering, or technology cost management At least 3 years of hands-on experience identifying and delivering cloud cost optimization opportunities Strong practical knowledge of at least one major public cloud platform (Google Cloud Platform, TP-S3NS, Microsoft Azure) Practical understanding of cloud pricing, billing, discounts, reservations, commitments, and consumption models Ability to analyze large billing and usage datasets using SQL, Python, or comparable technologies Experience building automation, analytical tools, dashboards, or data pipelines Understanding of Infrastructure as Code, CI/CD, APIs, source control, and modern cloud operations Ability to interpret operational metrics such as CPU, memory, storage, I/O, latency,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-finops-optimization-engineer-at-thales-04f567

Source: https://jobsbylevel.com/jobs/senior-finops-optimization-engineer-at-thales-04f567

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-finops-optimization-engineer-at-thales-04f567.

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