Sr Platform Engineer, FinOps

ABOUT US

Recruitics Talent Intelligence and Acquisition Platform unites data, AI, and automation that make modern hiring possible — helping Enterprise organizations predict what’s coming next, attract the right talent, and convert talent anywhere.

We’re big believers in teamwork, curiosity, and doing work that actually makes an impact. If you love solving problems, thinking creatively, and helping companies build amazing teams, you’re going to love it here.

OVERVIEW

We are looking for a Cloud FinOps Engineer to own and drive cost optimization across our cloud infrastructure and data platforms. This role is for someone who lives and breathes cloud efficiency—who’s as comfortable diving into EC2 right-sizing reports as they are tuning Spark jobs, advising Kubernetes cost models, and shaping long-term AWS financial strategy.

This is a senior-level, high-ownership role embedded in the Platform team, working across Engineering, Data, and Finance. You’ll be responsible for uncovering waste, optimizing cloud spend, and building the tooling, automation, and reporting systems that make FinOps a core discipline—not an afterthought.

Our environment is deeply technical and performance-intensive, with significant cost centers in Spark compute, Kubernetes workloads, Snowflake usage, and Java-based microservices. You’ll play a critical role in making our systems not just reliable—but cost-effective at scale.

RESPONSIBILITIES

• Lead cost optimization efforts across our AWS estate (EC2, EKS, S3, EBS, Lambda, RDS, etc.), delivering measurable savings and performance wins.

• Analyze and optimize Apache Spark jobs (EMR/EKS) — improve executor tuning, autoscaling, and job scheduling for efficiency.

• Partner with Data Engineering to optimize Airflow DAGs, reduce pipeline waste, and manage resource-intensive workflows.

• Reduce Kubernetes costs through node pool optimization, vcluster strategy, pod rightsizing, and non-prod automation.

• Implement and manage Savings Plans, Reserved Instances, and workload scheduling to maximize discount coverage.

• Audit and improve Snowflake usage patterns — warehouse sizing, query optimization, idle resource management.

• Collaborate with Finance to build accurate cloud cost allocation models, showback dashboards, and budget forecasting tools.

• Drive tagging enforcement, anomaly detection, and policy automation using tools like AWS CUR, Athena, QuickSight, or 3rd-party FinOps platforms.

• Advocate for and implement cost-conscious design patterns in collaboration with DevOps, SRE, and software engineers.

• Establish FinOps KPIs (e