Sr Platform Engineer, FinOps

Recruitics

5d•Remote

About The Position

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.

Requirements

5+ years in Cloud Engineering, DevOps, or Platform roles, with a strong focus on cloud cost management.
Deep experience in AWS with strong knowledge of pricing, service usage, billing structures, and enterprise discount programs.
Strong hands-on expertise with Kubernetes (EKS), including autoscaling, node/pod tuning, and Vcluster architecture.
Solid understanding of Apache Spark tuning and workload cost attribution.
Experience with Airflow, Snowflake, and large-scale data pipelines.
Familiarity with Java-based microservices in cloud environments and strategies to reduce resource bloat.
Proficiency in Terraform, Python, and shell scripting for automation and reporting.
Experience designing and managing FinOps dashboards (using QuickSight, Looker, Tableau, or similar).
Excellent cross-functional communication skills; comfortable partnering with Engineering, Finance, and Procurement.

Nice To Haves

FinOps Certified Practitioner (or equivalent experience).
Experience deploying FinOps tools (e.g., nOps).
Familiarity with chargeback models, per-team budgeting, and cost accountability frameworks.
Experience in high-growth SaaS or PE-backed environments.

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.g., cost per Spark job, cost per API call, efficiency scores) and drive continuous improvement.

Benefits

Competitive salaries with growth incentives
Comprehensive health, dental, and vision insurance
#AnywhereAugust - We support remote work experiences to expand perspectives and personal growth
15 Vacation Days, 5 Flex Days, 5 Sick Days, and remote work options year-round
Fully paid parental leave for both parents
Summer Fridays from Memorial Day to Labor Day
Winter Recess between Christmas and New Years
Commuter and Parking Benefits through Wage Works
Eligible to contribute to your 401(K) Retirement Plan after six (6) months of employment.
Employee Assistance Programs to support your day to day