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Open nowPosted today

Senior FinOps Optimization Engineer

thales3,651 open roles

Where
Jakarta
Work mode
On site
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Your applicationOpen nowSenior FinOps Optimization Engineerthales · Jakarta

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. thales postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

thales median: 20 days open

The posting

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, throughput, and request volume
  • Experience quantifying the financial impact of technical changes
  • Understanding of cost allocation, tagging, ownership, shared-cost distribution, showback, and chargeback concepts

Analytical capabilities

  • Strong data-investigation and root-cause-analysis skills
  • Distinguish correlation from a technically actionable cost driver
  • Build and validate financial models
  • Strong attention to data quality and reconciliation
  • Prioritize opportunities based on value, confidence, effort, and risk
  • Work with incomplete data and explicitly document assumptions
  • Challenge automated recommendations when they conflict with operational reality

Communication capabilities

  • Professional fluency in written and spoken English
  • Produce clear technical and executive-level documentation
  • Confidence presenting recommendations to engineers, architects, product owners, managers, procurement, and finance stakeholders
  • Explain complex cloud-pricing and architecture concepts in practical business terms
  • Facilitate discussions and obtain agreement across teams without direct authority
  • Strong listening, negotiation, and stakeholder-management skills
  • Collaborate effectively with geographically distributed teams, mainly Europe.

Preferred qualifications

  • CertificationsFinOps Certified Practitioner certification FinOps Certified Professional, FinOps Certified Engineer, or FOCUS Analyst Cloud architecture or cost-management from Microsoft or Google Cloud
  • Experience aboutlarge international, industrial, regulated, or matrix organization multi-cloud cost management optimizing Kubernetes, data platforms, AI workloads, GPUs, or SaaS consumption enterprise tools such as Cloudability, CloudHealth, Flexera, Apptio, ServiceNow, Power BI, or equivalent solutions native services such as Google Cloud Billing, Google Cloud FinOps Hub, Azure Cost Management or Azure Advisor implementing cost controls in Terraform plans or CI/CD pull requests operating in Agile, product-oriented, DevOps
  • Knowledge ofunit economics and product-level cost attribution software licensing and enterprise agreements sustainability metrics related to technology consumption

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

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