Staff Software Engineer
Introduction
About Us:
We're a FinOps platform helping organizations optimize and control cloud spend across AWS and other major cloud providers. Our data-driven approach gives engineering and finance teams full visibility into usage, cost anomalies, and savings opportunities at scale.
We process hundreds of billions of lines daily, ingesting cloud bills, Kubernetes cluster details, and utilization metrics to derive actionable insights. If you're passionate about building scalable systems that make cloud usage smarter and more cost-efficient, this is the place for you.
Your role and responsibilities
About the Role:We're looking for a Staff Software Engineer with strong experience with Apache Spark, large-scale data processing, data partitioning and cluster performance tuning. You'll play a key role in scaling our data processing pipelines, optimizing cost-to-performance, and driving architectural decisions for our big data platform. You will also mentor a team of engineers and be a technical leader in our mission to help customers take control of their cloud spend. Key Responsibilities:
- Architect and implement scalable batch data pipelines using Apache Spark in Scala.
- Drive optimization of massive datasets including AWS, GCP, Azure billing cost and usage data-with attention to input partitioning, join strategies, and memory/shuffle tuning.
- Reduce platform processing costs while improving performance, aligning directly with FinOps principles.
- Lead the design of fault-tolerant, cost-efficient big data infrastructure on AWS
- Mentor team members, lead technical design reviews, and contribute to the evolution of the engineering culture.
- Collaborate with product, platform, and FinOps experts to develop new capabilities that provide cost insights and recommendations to customers.
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Tech Stack:
- Languages: Scala (primary), Java (secondary)
- Big Data: Apache Spark (on EMR), Snowflake
- Cloud: AWS (EMR, S3, Lambda, CloudWatch,)
- CI/CD: GitHub Actions, Terraform, Kubernetes, DataDog, Splunk
Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
Required
- 8+ years of software engineering experience, with 5+ years building distributed data pipelines in Spark.
- Strong command of Scala and functional programming.
- Deep expertise in cluster resource tuning, data partitioning, and performance benchmarking in Spark.
- Experience with AWS data services including S3, CloudWatch, and IAM.
- Proven track record of designing systems that balance performance with cost-efficiency - ideally in a FinOps or similar optimization-focused context.
- Ability to lead projects end-to-end and mentor junior engineers.
Preferred technical and professional experience
- Usage of AWS EMR
- Exposure to cloud billing/usage data (AWS CUR, Cost Explorer, etc.)
- Familiarity with FinOps practices and cloud cost management principles.
- Experience working with data formats like Parquet or Apache Iceberg.
- Prior experience in startups or high-growth SaaS environments.
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
YOUR LIFE @ IBM
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Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
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ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
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Financial and Retirement
Professional Development
Diversity and Inclusion
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