Senior Lead Software Engineer

Job Summary

Job Responsibilities

• Own cross-cutting architecture by defining and evolving contracts between UI, backend services, shared libraries, and cloud/compute execution layers
• Drive execution performance improvements by tackling model start-up latency and warm/pooled compute, evaluating instance pools, serverless, and warm-executor patterns
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities,
• Set engineering standards for testing strategy, CI/CD, secure-by-default practices, observability, and backwards-compatible versioning across shared libraries
• Coordinate change across teams and codebases by breaking features into well-scoped, contract-first workstreams and aligning API/schema changes
• Mentor mid/senior engineers, run high-signal code reviews, and be the escalation point for complex production incidents
• Partner with stakeholders to translate user and business requirements into a pragmatic technical roadmap
• Design and review changes that span multiple services and shared libraries to ensure correctness, performance, and maintainability
• Establish and maintain a clear, documented architecture and contract map that enables new engineers to quickly navigate the platform
• Achieve measurable improvements in execution start-up time for smaller models, enhancing overall system efficiency
• Required Qualifications, Capabilities, and Skills:
• Significant experience building and operating production software as a technical lead on distributed systems
• Deep expertise in Python and FastAPI/REST, including async patterns and SQLAlchemy
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Strong AWS background, including serverless orchestration (Step Functions/Lambda), container deployment (ECS/EKS), and managed data services
• Proven track record designing and evolving service-to-service contracts without breaking consumers
• Solid grasp of CI/CD, automated testing, and secure-by-default engineering (secrets, IAM, least privilege)
• Ability to lead across teams and communicate clearly with engineers and business stakeholders
• Preferred Qualifications, Capabilities, and Skills:
• Experience with Databricks/Spark and ML/forecasting execution at scale, including optimizing cold-start/warm-compute
• Familiarity with TypeScript/React micro-frontends (Module Federation) to guide UI direction
• Ownership of Terraform and infrastructure-as-code
• Experience with model governance/SDLC (approval flows, audit, environment promotion) in a regulated setting
• Background in financial services or other compliance-heavy environments