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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. 

 

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. 

Votre rôle et vos responsabilités

Key Responsibilities: 

  • Architect and implement scalable batch data pipelines using Apache Spark in Scala.
  • Drive optimization of massive datasets including AWS, GCP, Azure biling 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. 

 

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 
Formation requise
Licence
Formation préférée
Master
Expertise professionnelle et technique requise
  • 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. 
Expertise professionnelle et technique préférée
  • 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. 

À propos de la Business Unit

IBM Software insuffle de l'intelligence dans les opérations métier de base, de l'apprentissage automatique à l'IA générative, afin d'aider les organisations à être plus réactives, plus productives et plus résilientes. IBM Software aide ses clients à mettre l'IA en action dès maintenant pour créer une valeur réelle avec confiance, rapidité et assurance dans les domaines du travail numérique, de l'automatisation informatique, de la modernisation des applications, de la sécurité et du développement durable. La capacité d'utiliser toutes les données est essentielle à cet égard, car l'IA ne vaut que ce que valent les données qui l'alimentent. Dans la plupart des organisations, les données sont réparties entre plusieurs clouds, sur site, dans des centres de données privés et à la périphérie. La plateforme d'IA et de données d'IBM met à l'échelle et accélère l'impact de l'IA avec des données fiables, et fournit des capacités de pointe pour entraîner, régler et déployer l'IA dans l'ensemble de l'entreprise. La plateforme cloud hybride d'IBM est l'une des approches les plus complètes et les plus cohérentes en matière de développement, de sécurité et d'opérations dans les environnements hybrides : une base flexible pour exploiter les données, où qu'elles se trouvent, afin d'étendre l'IA au coeur de l'entreprise.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

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.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'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.

Autres détails pertinents sur le poste

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

  • Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
  • Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
  • Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
  • Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
  • Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

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. 

This position is eligible for participation in an IBM Sales Incentive plan. Actual incentive opportunity will be based on performance and the eligible Target Incentive, as addressed in the applicable plan, all of which is subject to change. The compensation range listed for this position is the IBM Reference Salary that is used when you are not actively participating in a sales plan. Your actual base pay plus incentive opportunity will be determined by the Incentive Plan assigned to you.

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.