Senior Software Engineer, Product Platform

Block is a company focused on economic empowerment through various foundational teams. They are seeking a Senior Software Engineer to design and build the next generation of internal platforms, improve existing systems, and utilize AI in their engineering workflows.

Responsibilities:

• Design, build, and operate platform systems that help Block engineers ship software with more confidence and speed
• Work across areas such as deployment orchestration, CI/CD, Kubernetes, event streaming, databases, internal developer platforms, and reliability tooling
• Partner with engineering teams to understand their workflows, identify platform gaps, and deliver pragmatic solutions
• Help unify and modernize existing platforms while creating new ones where the business needs a stronger foundation
• Use AI tools to accelerate development, improve system understanding, prototype ideas, and raise the quality of engineering output
• Lead technical projects from problem framing through implementation, rollout, and operational ownership
• Make thoughtful tradeoffs between speed, reliability, maintainability, and long-term platform direction
• Contribute to an engineering culture that values curiosity, direct communication, early ownership, and learning through shipping

Requirements:

• A minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or equivalent work experience
• Experience building, operating, or improving backend or infrastructure systems used by engineering teams
• Strong software engineering fundamentals and the ability to work across unfamiliar systems, codebases, and technical domains
• Experience in one or more platform areas such as deployment systems, CI/CD, Kubernetes, Kafka or event streaming, Temporal, databases, observability, service infrastructure, or developer tooling
• A track record of turning ambiguous technical problems into clear plans and working solutions
• Comfort partnering with engineers and technical leaders across teams to understand needs, explain tradeoffs, and drive decisions
• Interest in using AI as part of your engineering workflow and helping others learn how to apply it well
• Curiosity, judgment, and willingness to ask questions early so the team can move with clarity