## About the Role
Join Ignitis Group’s Service Center IT team and help improve the way cloud resources are managed across the group. The role focuses on optimizing cloud spending, introducing automation, and supporting efficient use of technology resources.
This position combines FinOps, cloud infrastructure, and modern AI capabilities to drive better efficiency and business value for the wider organization. You will work with IT, finance, and business stakeholders, helping to shape reporting, cost control, and AI-enabled process improvements.
## Key Responsibilities
– Analyze and optimize cloud service costs across Oracle, Azure, and Google Cloud.
– Build and maintain FinOps processes, budgets, and cost control mechanisms.
– Prepare financial and technical reports for leadership.
– Identify automation opportunities using AI and generative AI solutions.
– Build, test, and deploy AI models and business process integrations.
– Evaluate the ROI and business value of AI solutions.
– Collaborate with IT, finance, and business teams.
– Support data security, compliance, and responsible AI use.
## Required Skills
– At least 2 years of experience in FinOps, Cloud Cost Management, Data Analytics, or AI.
– Hands-on experience with at least one cloud platform: Oracle, Azure, or Google Cloud.
– Ability to analyze financial data and produce cost optimization recommendations.
– Experience using Python for data analysis and automation.
– SQL knowledge and the ability to work with large data volumes.
– Understanding of generative AI technologies and LLM models.
– English proficiency at B2 level or above.
## Preferred Skills
– FinOps Certified Practitioner or FinOps Professional certification.
– Experience with OpenAI, Anthropic, Gemini, or other AI platforms.
– Experience building RAG (Retrieval-Augmented Generation) solutions.
– Knowledge of Kubernetes, Docker, and CI/CD processes.
– Experience with Power BI, Tableau, or Looker.
– Cloud architecture certifications.
## Cloud Platforms & Technologies
– **Cloud Providers:** Oracle, Azure, Google Cloud
– **Programming Languages:** Python, SQL
– **AI / LLM / GenAI:** Generative AI, LLM models, OpenAI, Anthropic, Gemini, RAG
– **Containers & Kubernetes:** Kubernetes, Docker
– **CI/CD:** CI/CD
– **Reporting & BI:** Power BI, Tableau, Looker
– **FinOps / Cloud Financial Management:** FinOps
## FinOps Responsibilities
– Analyze cloud spend and identify optimization opportunities.
– Develop and maintain FinOps processes, budgets, and cost controls.
– Produce financial and technical reporting for management.
– Support cost optimization recommendations and business value assessment.
## Benefits
– Choice of additional benefits through the MELP app, including pension savings, health insurance, or another selected benefit.
– Extra paid days for wellbeing, short-term illness, volunteering, and tenure.
– Tailored onboarding program with tours and buddy support.
– Hybrid working model (3+2) and flexible working hours.
– Internal ambassador programs, employee recognition initiatives, and hobby clubs.
– Access to the internal GROW academy as a trainer or participant.
– Gross base salary range: EUR 2,520–3,780, with possible variable pay depending on experience and competence.
## Useful Links
– Company Website: www.ignitisgrupe.lt
## Why You Might Be Interested
This role offers the chance to work at the intersection of cloud cost management, automation, and AI within a large energy organization. It is a strong fit for professionals who want to influence how technology resources are managed and how AI is applied to business processes. The position also includes cross-functional collaboration with IT, finance, and business teams. In addition, the package includes hybrid work, flexible hours, and a clear salary range.

