GCP FinOps EngineerKey responsibilities: * Optimise large scale data analytics workloads through partitioning, clustering, query rewrites, storage format improvements, and life cycle policies.* Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost efficient compute.* Redesign workflow orchestration pipelines for parallel execution, increased concurrency, and offloading heavy tasks to lower cost execution environments.* Analyse distributed data processing pipelines to right size worker types, adjust scaling thresholds, and adopt low cost compute for batch workloads.* Reduce log processing and storage overhead through log level standardisation, routing rules, exclusion filters, and retention optimisation.* Implement storage tiering strategies based on access patterns and enforce life cycle rules to minimise cold data retention costs.* Improve relational database performance through index tuning, connection optimisation, and instance right sizing.* Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots.* Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability.* Collaborate with engineering teams to embed cost efficient architecture patterns and operational best practices.- Supervisory/Managerial responsibilities (please specify if the position will ha