# Tech Lead, Business Platform Engineering

**Company:** [Square](https://hotfix.jobs/companies/square)
**Location:** New York, NY
**Role:** Engineering Management
**Salary:** $264k – $395k/yr
**Experience:** 10+ years
**Skills:** systems architecture, service consolidation, Workflow Orchestration, ai/ml pipelines, event streaming, Kubernetes, Kafka, Temporal, GraphQL, Go, Java, Ruby, llm integration, Platform Engineering
**Posted:** 2026-07-20

> Tech Lead and systems architect for Block's Business Platform (Bizplat), consolidating fragmented services into unified automation capabilities for Risk, Support, Sales, Finance, and Supply Chain. Requires 10+ years software engineering experience including 5+ years technical leadership, deep expertise in platform design, workflow systems, and driving cross-team consolidation.

## Job Description

## You Will
- Own the architectural vision for Bizplat's platform systems, defining the target state for a consolidated, well-architected service landscape that supports automation across Risk & Compliance, Customer Support, GTM/Sales, Finance, and Hardware Supply Chain.
- 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.
- 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.
- 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.
- Make hard architectural tradeoffs between speed of delivery, technical debt reduction, reliability, and long-term platform direction — and communicate those tradeoffs clearly to leadership.
- 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.

## You Have
- 10+ years of software engineering experience, with at least 5 years in a technical leadership or architect role owning systems at scale.
- Deep experience consolidating and simplifying complex service architectures — you've successfully reduced service sprawl, migrated workloads across systems, and decommissioned legacy services in production environments.
- Strong systems design and architecture skills, with demonstrable experience building platforms used by multiple teams and business domains.
- Experience building or operating automation, workflow orchestration, or case management systems (e.g., Temporal, Airflow, custom workflow engines, or similar).
- Track record of driving technical strategy across organizational boundaries — you've aligned multiple teams to a shared platform vision and executed on multi-quarter roadmaps.
- Fluency in designing for scalability, reliability, and governance — you understand the operational realities of running systems that process high-volume decisions in regulated environments.
- Experience with one or more of: AI/ML pipeline integration, event-driven architectures, contact center platforms, or business process automation.
- Strong software engineering fundamentals with the ability to write production-quality code, conduct meaningful design reviews, and make sound build-vs-buy decisions.
- 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.

## Preferred
- 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.
- Experience with specific technologies in our stack: Kubernetes, Kafka, Temporal, GraphQL, Go, Java, or Ruby.
- Track record of reducing operational costs through platform consolidation (e.g., reducing manual hours, converging vendor tooling, eliminating duplicate data pipelines).

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