Senior Platform Engineer, FinOps

Recruitics

Cloud FinOps Engineer at Recruitics focusing on optimizing cloud costs and efficiency. Collaborating with Engineering, Data, and Finance teams to implement cost-saving strategies.

Posted 4/23/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $140,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudEC2JavaKubernetesMicroservicesNode.jsPythonShell ScriptingSparkTableauTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

Comprehensive health, dental, and vision insurance
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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AWSKubernetesApache SparkAirflowSnowflakeTerraformPythonshell scriptingcost optimizationcloud cost management

Soft Skills

collaborationcommunicationanalytical thinkingproblem-solvingleadershipcontinuous improvementbudget forecastingresource managementefficiency optimizationcost-conscious design