Software Engineer – Full-Stack

Role Overview

• Design, build, and operate web applications and APIs for AI agents in the Biometrics & Data Science department.
• Deliver secure, scalable services and intuitive UIs for prompt authoring, code review, lineage, and approvals.
• Own engineering best practices such as testing, CI/CD, containerization, observability, and security-by-design.
• Collaborate with AI engineers, statistical programmers, data scientists, and statisticians to turn user needs into reliable, auditable production systems.
• Lead end-to-end delivery of AI-driven platforms—designing agent orchestration, MLOps, secure web interfaces, APIs, and scalable data/service layers for functional agents.
• Implement data pipelines for metadata and connect to code repositories, compute backends, and execution sandboxes.
• Ensure compliance and security by design: aligned with GxP expectations where applicable.
• Support production systems including monitoring, incident response, root cause analysis; drive continuous improvement in performance and reliability.

Requirements

• Bachelor’s degree or above in Computer Science, Software Engineering, or related field, or equivalent practical experience.
• 3–5 years of professional full‑stack development experience delivering production web applications and APIs.
• Proficiency in at least one modern front‑end framework (e.g., React, Vue, or Angular) and TypeScript; strong UX fundamentals for data-heavy workflows.
• Proficiency in back‑end development with one or more languages (e.g., Python, Node.js/TypeScript, or Java/Kotlin) and web frameworks (e.g., FastAPI, Express, Spring Boot).
• Experience designing and consuming REST and/or GraphQL APIs; familiarity with asynchronous processing (e.g., Celery, RabbitMQ, Kafka, or cloud-native queues).
• Strong experience with relational databases (e.g., PostgreSQL) and ORMs; comfort with schema design, migrations, and query optimization.
• Hands-on experience with containerization (Docker) and CI/CD pipelines; deploying to cloud or on‑prem Kubernetes or serverless environments.
• Solid understanding of authentication/authorization (OAuth2/OIDC), secrets management, and implementing audit logs and role-based access control.
• Excellent collaboration and communication skills with cross‑functional teams.
• Familiarity with AI application patterns (prompt orchestration, evaluation, retrieval-augmented generation) and integrating model inference services.
• Experience building code review or code execution platforms (e.g., sandboxes, notebooks, or automated linters/test runners).
• Experience with data lineage, provenance, and compliance reporting features.
• Observability stack experience (e.g., OpenTelemetry, Prometheus, Grafana, ELK) and secure software development lifecycle practices (SAST/DAST).
• Experience with domain-driven design and event-driven architectures.
• Exposure to clinical data standards (CDISC SDTM, ADaM) or regulated software delivery (GxP, CSV) in life sciences.

Tech Stack

• Angular
• Cloud
• Docker
• Grafana
• GraphQL
• Java
• JavaScript
• Kafka
• Kotlin
• Kubernetes
• Node.js
• Postgres
• Prometheus
• Python
• RabbitMQ
• React
• Spring
• Spring Boot
• SpringBoot
• TypeScript
• Vue.js

Benefits

• Health insurance
• Flexible working arrangements
• Professional development opportunities