Sr. Staff Software Engineer, Big Data Platform

For our client, we are seeking a Sr. Staff Software Engineer, Big Data Platform to join the team of a leader in the Consumer Technology space.

This role will shape the strategy and technical direction for data infrastructure that powers large-scale data and AI use cases. The ideal candidate will partner closely with cross-functional stakeholders to design systems that deliver reliable, fast, and efficient processing and storage for massive datasets. This is a highly visible opportunity to influence the long-term technical vision for a platform operating at significant scale.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $160,000 – $190,000 annually

Responsibilities

• Lead the strategy and technical direction for data infrastructure supporting big data and AI
• Build and scale frameworks to process petabyte-scale datasets efficiently
• Collaborate with internal stakeholders on critical business use cases requiring big data
• Advise the company on reliable, rapid data processing and storage methods at scale
• Contribute to the team's long-term technical vision and roadmap

Qualifications

• 10+ years of industry experience in software engineering with a focus on technical excellence
• 5+ years of experience building and supporting large-scale Kubernetes or big data platforms
• Deep knowledge of big data and ML technologies like Flink, Spark, and Kubernetes
• Proficient in programming languages such as Java, Go, Scala, or Python
• Experience with cloud technologies, particularly AWS
• Strong collaboration skills, able to manage ambiguity and keep stakeholders aligned
• Bachelor's degree in Computer Science or a related technical field

Benefits

• Flexible work arrangements with in-office collaboration 1-2 times per quarter
• Opportunity to work on cutting-edge open-source technologies at a vast scale

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.