Senior Platform Engineer, FinOps

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🕒 April 23

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Recruitics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

👥 HR Tech

🎯 Recruiter

Artificial Intelligence • HR Tech • Recruitment

Recruitics is an AI-powered platform specializing in talent attraction and conversion. The company offers industry-leading solutions, including programmatic job advertising, social advertising, and comprehensive analytics tools like Vision and Brion AI. Recruitics combines advanced data analytics and AI with a team of dedicated professionals to enhance recruitment marketing strategies, helping companies attract, secure, and convert top talent efficiently. Their approach focuses on creating meaningful employer brands and enhancing candidate experience to fulfill recruitment objectives, making them a valuable partner for companies worldwide.

📋 Description

• 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

• 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

• 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