Block
Tech Lead, Business Platform Engineering (Bizplat)
Bay Area, CA, United States of America
Sponsorship not specified$264k-$395kDetected 1 day ago
JavaGoRubyKubernetesPlatform EngineeringTemporalGraphQLKafkaMachine LearningAirflowData EngineeringLLMsAI OrchestrationSupply ChainCustomer SupportLeadershipCommunicationCollaboration
About the role
- Over the past year, our teams have delivered measurable business outcomes across every major operational domain.
- Now, as we scale from isolated automation initiatives to a company-wide automation platform and operating model, we face a critical architectural challenge: too many services and too much fragmentation.
- You will be the technical decision-maker responsible for turning down the overwhelming number of services we've accumulated and replacing them with unified, scalable, and governable platform capabilities.
Responsibilities
- Block's Business Platform (Bizplat) organization powers operational automation across the company, focused on Risk & Compliance, Customer Support, GTM and Sales, Finance, and Hardware Supply Chain.
- This is a role for a strong technical leader who pairs deep systems design expertise with the judgment to make hard tradeoffs across automation domains.
- Drive service consolidation by identifying redundant, overlapping, or underutilized services and leading the technical strategy to turn them down, migrate workloads, and converge onto shared systems
- Set and enforce engineering standards for system design, API contracts, observability, data governance, and operational reliability across Bizplat's engineering teams
- Partner with Forward Deployed Engineer (FDE) teams to ensure domain-specific solutions feed back into the platform as reusable capabilities rather than becoming one-off services
- Mentor and elevate engineers across the organization through design reviews, technical guidance, and knowledge sharing that raises the overall quality bar
- Collaborate with stakeholders across Risk Ops, Customer Ops, Sales Ops, Finance, and Hardware to translate operational needs into scalable technical solutions
- Use AI as a force multiplier in your engineering workflow and in the systems you design leveraging LLMs, agentic architectures, and automation to accelerate delivery
- Design and build core platform capabilities - including case management, workflow orchestration, AI/ML pipelines, event streaming, and integration frameworks - that are reusable across domains and teams
- Lead technical planning and execution for high-priority cross-cutting initiatives such as contact center stack convergence, and automation platform maturity
Requirements
- Experience with one or more of: AI/ML pipeline integration, event-driven architectures, contact center platforms, or business process automation
- Experience with specific technologies in our stack: Kubernetes, Kafka, Temporal, GraphQL, Go, Java, or Ruby
Nice to have
- Excellent communication and collaboration skills - you can explain complex architectural decisions to both engineering teams and non-technical business stakeholders
- Comfort navigating ambiguity across multiple domains, making pragmatic decisions with incomplete information, and adjusting course as requirements evolve
- Experience working with Forward Deployed Engineering or embedded platform team models where platform and domain concerns intersect
- Background in financial services, risk/compliance, or payment systems where regulatory requirements shape architecture decisions
- Familiarity with AI-powered decision systems, LLM-based automation, or agentic workflows in production
Compensation
- $263,600 - $395,400 USD
This listing is sourced directly from Block's careers page and normalized into a canonical job model.