{"id":3100001,"url":"https://alion.io/job/rits-professional-services-gft-out-finops-cloud-engineer-dla-hsbc","title":"GFT_OUT: FinOps Cloud Engineer dla HSBC","company":{"id":1007,"name":"RITS Professional Services","domain":"rits.center","url":"https://alion.io/company/rits-professional-services","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":87,"open_postings":27,"ghost_share":0,"stale_share":0.481,"repost_share":0.037,"time_to_fill_p50_days":44,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":145,"currency":"PLN","period":"hour","gross":false,"usd_annual":74000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-22T14:36:19Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T16:51:59Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"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.\nLocation: Krakow (the team works in the office 6x a month)\nRate: up to 145 PLN/h net + VAT (B2B)\nResponsibilities\nOptimisation delivery:\nIdentify opportunities across ingestion, retention, tiering, sampling, routing, and exclusion rules; prioritise by ROI and risk.\nImplement changes via automation/IaC with rollback plans and post-change validation.\nBuild and deploy automation for logging and storage cost optimisation across a multi-cloud estate at enterprise scale.\nAccess and analyse logging data directly using cloud native tooling to identify cost drivers and reduction opportunities.\nProduce optimisation proposals with projected saving forecasts.\nOperate within client governance and compliance standards, obtaining appropriate approvals before implementing changes.\nFinOps governance:\nSupport tagging/labels and allocation model improvements for chargeback/showback accuracy.\nDefine and maintain policies/guardrails (e.g., default retention standards, workspace quotas, budget alerts).\nStakeholder management:\nRun optimisation “clinics” with platform/app teams; agree actions, owners, timelines, and expected savings.\nProduce executive-ready reporting for senior stakeholders (trend, forecast vs actual, risks).\nPresent technical findings and recommendations to cloud platform leads and senior engineering stakeholders.\nOperational excellence:\nCreate runbooks, controls, and documentation; ensure changes pass risk/compliance checks.\nMonitor for cost regression and create automated “drift” detection\nBenefits\nStrong working knowledge of Azure (core services, identity, networking, governance) and good knowledge of AWS and GCP cost drivers and pricing mechanics:\nAzure: Log Analytics / Azure Monitor, Diagnostic Settings, Storage Accounts, Event Hub, Sentinel, Azure Policy, Cost Management.\nAWS: CloudWatch Logs, S3 lifecycle, Cost Explorer/CUR.\nGCP: Cloud Logging, Log Router/Sinks, BigQuery, Storage lifecycle policies, Billing exports.\nIaC/automation: Terraform, CI/CD (GitHub Actions/Azure DevOps), policy-as-code.\nPractical understanding of FinOps principles, including cost allocation, showback/chargeback concepts, optimisation levers, and cost governance.\nUnderstanding of cloud governance/compliance approaches and how to implement guardrails in enterprise environments.\nHands-on experience with at least two public cloud platforms (AWS, Azure, and/or GCP), including their native logging and monitoring services.\nStrong understanding of logging/observability architecture, including log ingestion and routing, retention policies, and storage cost drivers.\nProven ability to analyse logging data at scale to identify cost drivers and deliver measurable cost reduction opportunities.\nDemonstrated experience building and deploying automation at scale using Python, Bash, and/or Terraform (including CI/CD and repeatable deployment patterns where applicable).\nExperience producing savings forecasts, building business cases, and writing structured optimisation proposals with clear assumptions and impacts.\nStrong communication skills, with experience presenting technical analysis and recommendations to senior technical stakeholders and influencing outcomes.\nExperience working in a highly governed enterprise environment, operating within compliance, operational risk, and change control frameworks.","description_format":"text","description_chars":4305,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","IT Staffing & Staff 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