Technical Lead / Angular/ Python

Technical lead for Angular & Python product engineering. This role will serve as a hands-on technical leader for a cross-functional product engineering pod. They will own technical delivery across Angular, Python APIs and cloud-native services; translate product and architecture direction into maintainable software; guide engineers while remaining directly involved in design, critical implementation, code review, testing and production troubleshooting.

Responsibilities

• Hands-on pod leadership: Lead day-to-day technical delivery and remain active in solution design, complex implementation, code reviews, debugging, release readiness and production support.
• Technical translation: Convert product requirements and architecture direction into bounded designs, service contracts, development tasks and testable vertical slices; identify dependencies and risks early.
• Engineering leadership: Set practical standards for component and service boundaries, security, performance, observability, testing and maintainability; mentor engineers, provide actionable feedback and drive technical decisions.
• Product delivery ownership: Work closely with Product, BA, QA and DevSecOps, demonstrate working results early, manage technical debt and delivery risk, and support reliable PST overlap with distributed teams.

Requirements

<>Key Technical Expectations

• Angular: Strong recent hands-on Angular 17+ and TypeScript, with readiness to work in Angular 19.x. Required depth includes standalone components, RxJS/signals, state/change detection, typed Reactive Forms with conditional and asynchronous validation, Material/CDK, reusable components, accessibility, performance and frontend testing. React-only or AngularJS-only experience is insufficient.
• Real-time and collaborative UI: WebSockets, REST-backed durable changes, optimistic concurrency/version checks, reconnect and stale-state recovery, conflict presentation, notifications and safe undo behaviour for multi-user workflows.
• Python services and APIs: Strong production experience with Python and FastAPI or a comparable framework, including Pydantic-style contracts, SQLAlchemy/ORM, REST design, authentication and validation. Must understand asynchronous execution, long-running jobs, progress events, retries, idempotency, cancellation and failure recovery.
• Data, cloud and operations: Relational data modelling and SQL/PostgreSQL, versioning and audit patterns, AWS, containers/EKS or Kubernetes, S3, CI/CD and infrastructure-as-code. Able to troubleshoot across frontend, API, data and deployment layers.
• Engineering quality: Unit, integration, contract and end-to-end tests; code review and safe refactoring; SonarQube/static-analysis quality gates; secure dependency management; application logs, metrics and traces.

<>Domain Experience

• Life sciences or clinical technology: Clinical-development, clinical-trial, protocol-authoring, protocol-digitization or other regulated scientific product experience is advantageous but not mandatory.
• Study-design concepts and standards: Exposure to objectives/endpoints, arms and cohorts, eligibility criteria, Schedule of Activities, study schemas, amendments, CDISC, USDM, CDASH or ODM is preferred.
• Regulated delivery: Awareness of GxP/CSV, ALCOA+, audit trails, electronic records, requirements/test traceability and validated-state change control is beneficial.