Tech Lead Full Stack Engineer

Job Summary

As a Tech Lead Senior Full Stack Engineer, you will design, build, and enhance cloud-native applications that support the R&D organization. Operating at the intersection of science and technology, you will partner with product owners, data experts, and global engineering teams to deliver scalable, high-quality solutions that enable data-driven decision-making.

This role combines full-stack development, cloud engineering, and system design, with increasing ownership of architecture, engineering best practices, and technical leadership.

Responsibilities

Engineering & Development

· Design, develop, test, and maintain scalable cloud-native applications across front-end and back-end systems

· Build and enhance modern microservice-based architectures and distributed systems

· Develop and integrate RESTful APIs and system interfaces for enterprise platforms

· Implement infrastructure-as-code solutions and manage cloud environments

· Build and maintain CI/CD pipelines for automated deployment and delivery

Architecture & Design

· Contribute to system architecture, technical design, and engineering standards

· Create detailed technical documentation including:

o Low-Level Design (LLD)

o Entity-Relationship (ER) diagrams

o Component and class diagrams

· Partner with stakeholders to translate business requirements into scalable technical solutions

Quality & Reliability

· Implement automated testing frameworks (unit, integration, end-to-end)

· Monitor, troubleshoot, and resolve production issues related to performance and reliability

· Ensure applications meet security, compliance, and operational standards

Collaboration & Delivery

· Work closely with product managers, data SMEs, and cross-functional teams

· Participate in Agile development processes including sprint planning, code reviews, and retrospectives

· Collaborate across global teams and vendors to deliver complex solutions

Data & Platform Integration

· Integrate applications with enterprise R&D systems and scientific data platforms

· Build data pipelines and support data ingestion, transformation, and access

· Enable interoperability using semantic data models and metadata standards

Continuous Improvement & Innovation

· Drive improvements in development processes, tools, and architecture

· Reduce technical debt and improve system scalability and maintainability

· Leverage AI-assisted development tools to improve productivity

· Contribute to cloud-first strategy and digital innovation across R&D

Leadership & Ownership

· Take end-to-end ownership of features-from design through deployment

· Act as a technical contributor and mentor supporting junior engineers

· Influence stakeholders and help resolve complex technical challenges

Required Qualifications

· Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and 5+ years of software engineering experience. Or Master’s degree with 3+ years of experience

Technical Skills

· Strong experience with Python

· Strong experience with JavaScript

· Experience building full-stack applications (front-end + back-end)

· Experience with the React JavaScript framework

· Hands-on experience with AWS cloud services (EC2, RDS, S3, etc.)

· Experience with infrastructure-as-code (e.g., Terraform)

· Strong understanding of microservices architecture and cloud-native design

· Experience designing and integrating REST APIs

Data & Systems

· Experience with relational databases (e.g., Oracle, PostgreSQL, MySQL)

· Experience with NoSQL databases (e.g., DynamoDB, Neptune)

· Knowledge of data engineering pipelines (e.g., Spark, Databricks)

· Strong understanding of system design and data modeling

Engineering Practices

· Experience with DevOps tools and CI/CD pipelines

· Strong understanding of automated testing methodologies

· Experience working in Agile/Scrum environments

Professional Skills

· Strong problem-solving, analytical, and communication skills

· Ability to work independently and collaborate across teams

· Business acumen and ability to translate technical solutions to business impact

Preferred Qualifications

· Experience with another modern programming language (e.g. Java)

· Experience with other JavaScript frameworks (e.g. Angular, Vue)

· Experience with containerization and orchestration (e.g., Kubernetes/EKS)

· Experience with AI-assisted development tools

· Exposure to clinical, scientific or biomedical platforms

· Knowledge of GxP processes and regulated environments

· Experience working with research scientists or domain experts

· Experience with OutSystems, Power Apps, SalesForce or similar low-code platforms is a plus