• Own and evolve the developer experience across all product engineering teams: tooling standards, AI harness integration, deployment pipelines, and governance model. • Define and enforce platform engineering standards that enable engineering teams to ship faster and at a higher quality bar. • Drive adoption of AI-native SDLC practices across the organization, partnering with engineering managers to measure and improve development velocity. • Build and lead the Platform Engineering team, including a Senior Platform Engineer and SRE/DevOps Lead. • Develop engineering talent and establish the culture of the platform function — reliability, craftsmanship, automation-first thinking. • Own the reliability posture of the platform: uptime SLOs, on-call frameworks, incident response standards, and postmortem culture. • Establish telemetry, observability, and alerting standards across all product lines (DataDog, CloudWatch, PagerDuty). • Be an active participant in FMG's AI engineering transformation — from agentic development tools to AI-assisted QA and testing.

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role Product Platform Engineering builds and unifies the foundational systems Block engineers use to create, ship, and operate products. We work across platform domains such as deployment systems, event streaming, databases, workflows, and the operational systems that keep Block moving. We are looking for a Senior Software Engineer who is broad, curious, and energized by solving platform problems that cut across teams. You will help design and build the next generation of Block's internal platforms, improve the systems engineers depend on every day, and use AI as a native part of how you explore, build, test, and learn. This is a role for someone who wants to ask good questions, make sound technical bets, and turn complex problems into working systems. You Will - 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. You Have - 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. Technologies We Use and Teach - Kubernetes, service infrastructure, deployment orchestration, CI/CD systems, Kafka and event streaming, databases, observability tooling, internal developer platforms, Go, Java, Ruby, and AI-assisted engineering tools. We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations throughout the recruitment process. If you require an accommodation, let your recruiter know. Want to learn more about what we're doing to build an inclusive workplace? Check out our Inclusion & Diversity page . Block takes a market-based approach to pay, and pay may vary depending on your location. Canada locations are categorized into one of two zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: $184,200 - $276,400 CAD Zone B: $184,200 - $276,400 CAD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

• Deliver infrastructure and platform improvements across AWS environments. • Implement infrastructure changes using Terraform, following established module patterns and engineering standards. • Design and maintain secure cloud solutions in line with AWS best practices. • Develop automation and tooling using Node.js or Python. • Work closely with senior engineers, tech leads, and engineering managers to deliver project milestones. • Support CI/CD processes, testing, validation, and deployment activities. • Identify delivery risks, troubleshoot issues, and proactively communicate blockers. • Contribute to platform reliability, security, and operational excellence initiatives. • Ensure infrastructure follows least-privilege and secure-by-default principles. • Help improve engineering efficiency through automation and modern tooling.

• Design agentic data interfaces that let AI agents discover, understand, and safely use data products. • Build MCP-compatible endpoints, tools, and APIs for governed AI/data access. • Develop data agents that reason over metadata, semantics, contracts, policies, and data outputs. • Make data products AI-ready across SQL, documents, vectors, graphs, APIs, and semantic models. • Build safe query and action flows with access checks, policy enforcement, approvals, and audit trails. • Work on retrieval, semantic search, tool selection, context construction, and answer grounding. • Define reusable patterns for agent-readable metadata, structured outputs, observability, and evaluation. • Partner with product, engineering, and customer teams to turn enterprise AI/data use cases into product capabilities.