FinOps Cloud Engineer

Synechron; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Synechron is seeking a FinOps Cloud Engineer to identify, quantify, and deliver cloud cost optimisation across Azure, AWS, and GCP. You will combine strong engineering capability (automation, IaC, scripting) with FinOps practice to reduce run-rate, improve transparency, and prevent cost re-growth.

You will partner closely with cloud platform engineering, SRE/observability, security, and product teams to analyse usage patterns, propose improvements, secure governance approvals, and implement

Qualifications

• Experience with two or more public cloud platforms and their logging/monitoring services.
• Strong understanding of logging/observability architectures and cost drivers.
• Proven ability to analyse cloud usage data and deliver measurable cost reductions.
• Knowledge of FinOps concepts including cost allocation, showback/chargeback, and governance.

Responsibilities

• Identify opportunities across ingestion, retention, tiering, sampling, routing, and exclusion rules by ROI and risk.
• Implement changes via automation/IaC with rollback plans and post-change validation.
• Build and deploy automation for logging and storage cost optimisation across a multi-cloud estate.
• Analyse logging data to identify cost drivers and propose reductions.
• Produce optimisation proposals with forecasted savings.
• Ensure changes comply with governance and risk controls.
• Develop runbooks, controls, and documentation for cost governance.

Skills

Cloud platforms (AWS/Azure/GCP)

FinOps principles

Automation (Python/Bash)

IaC (Terraform)

SRE/Observability

Cost governance & reporting

Communication with stakeholders

Tools

Terraform

Python

Bash

CI/CD tooling

Job description

Work Type: Hybrid / Open for Contract (B2B)

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

As the FinOps Cloud Engineer (FinOps Optimisation Specialist), you'll work hands-on across Azure, AWS, and GCP to identify, quantify, and deliver cloud cost optimisation opportunities—initially with a focus on logging/observability and storage cost drivers. You'll combine strong engineering capability (automation, IaC, scripting) with FinOps practice (allocation, governance, savings forecasting) to design and implement sustainable controls that reduce run-rate, improve transparency, and prevent cost re-growth. You'll partner closely with cloud platform engineering, SRE/observability, security, and product/application teams to analyse usage patterns, propose improvements, secure governance approvals, and implement changes safely in line with Client risk, compliance, and change controls. Success in the role means measurable savings delivered at pace, with clear reporting, repeatable automation, and improved cost-aware engineering behaviours across the multi-cloud estate.

Key Accountabilities:

• Identify opportunities across ingestion, retention, tiering, sampling, routing, and exclusion rules; prioritise by ROI and risk.
• Implement changes via automation/IaC with rollback plans and post-change validation.
• Build and deploy automation for logging and storage cost optimisation across a multi-cloud estate at enterprise scale.
• Access and analyse logging data directly using cloud native tooling to identify cost drivers and reduction opportunities
• Produce optimisation proposals with projected saving forecasts.
• Operate within Client governance and compliance standards, obtaining appropriate approvals before implementing changes.
• FinOps governance
• Support tagging/labels and allocation model improvements for chargeback/showback accuracy.
• Define and maintain policies/guardrails (e.g., default retention standards, workspace quotas, budget alerts).
• Run optimisation "clinics" with platform/app teams; agree actions, owners, timelines, and expected savings.
• Produce executive-ready reporting for senior stakeholders (trend, forecast vs actual, risks).
• Present technical findings and recommendations to cloud platform leads and senior engineering stakeholders.
• Operational excellence
• Create runbooks, controls, and documentation; ensure changes pass risk/compliance checks.
• Monitor for cost regression and create automated "drift" detection.

Essential Skills / Basic Qualifications:

Knowledge:

• Strong working knowledge of Azure (core services, identity, networking, governance) and good knowledge of AWS and GCP cost drivers and pricing mechanics:
• AWS: CloudWatch Logs, S3 lifecycle, Cost Explorer/CUR.
• GCP: Cloud Logging, Log Router/Sinks, BigQuery, Storage lifecycle policies, Billing exports.
• Practical understanding of FinOps principles, including cost allocation, showback/chargeback concepts, optimisation levers, and cost governance.
• Understanding of cloud governance/compliance approaches and how to implement guardrails in enterprise environments.

Essential Skills and Experience:

• Hands-on experience with at least two public cloud platforms (AWS, Azure, and/or GCP), including their native logging and monitoring services.
• Strong understanding of logging/observability architecture, including log ingestion and routing, retention policies, and storage cost drivers.
• Proven ability to analyse logging data at scale to identify cost drivers and deliver measurable cost reduction opportunities.
• Demonstrated experience building and deploying automation at scale using Python, Bash, and/or Terraform (including CI/CD and repeatable deployment patterns where applicable).
• Experience producing savings forecasts, building business cases, and writing structured optimisation proposals with clear assumptions and impacts.
• Strong communication skills, with experience presenting technical analysis and recommendations to senior technical stakeholders and influencing outcomes.
• Experience working in a highly governed enterprise environment, operating within compliance, operational risk, and change control frameworks.

Desirable Skills / Preferred Qualifications:

• Experience in financial institutions.
• Strong working knowledge of Azure (core services, identity, networking, governance) and good knowledge of AWS and GCP cost drivers and pricing mechanics:
• Practical understanding of FinOps principles, including cost allocation, showback/chargeback concepts, optimisation levers, and cost governance.

Understanding of cloud governance/compliance approaches and how to implement guardrails in enterprise environments.