Software Engineer​/Senior Software Engineer

As a Software Engineer on our Solutions Engineering team, you will build robust, scalable, and reusable capabilities for our shared data platform. You will work closely with Data Engineers, Product Leaders, and scientific partners to design and implement systems that unlock the potential of our diverse scientific data. Your work will directly contribute to accelerating the discovery and development of life‑changing treatments for patients by building the modern ecosystem that captures, moves, and prepares scientific data for analysis.

• Ensure technical excellence by delivering innovative, best‑in‑class data flows and pipelines across key scientific domains.
• Promote the adoption of key trends and technologies by applying an Open Source, Cloud First, API First, and AI First approach to problem‑solving.
• Improve our data workflows and application architecture by leveraging standard patterns like microservices and event‑driven design.
• Integrate diverse data sets to power AI/ML, Natural Language Search, and downstream visualization and analytics tools.
• Facilitate the implementation of cutting‑edge AI models that take advantage of advances in machine learning.
• Influence technical decisions around data workflows and application development in collaboration with key partners.
• Learn and deeply understand our Data Ecosystem to drive continuous improvement and innovation.

You are a passionate engineer who cares about technical and product excellence, with a drive to build highly usable solutions. You thrive in a collaborative environment, leveraging modern development practices to translate complex challenges into effective technology solutions.

• A Bachelor’s degree in Computer Science or a similar technical field, or equivalent experience, plus 2+ years of relevant software engineering experience.
• Experience in full‑stack development, with working knowledge of frontend frameworks (e.g., React, Vue) and backend technologies (e.g., Python, Java).
• Experience with databases, data analytics (SQL/No
  
  SQL, ETL/ELT), and APIs (REST, Graph
  
  QL).
• Experience with SDLC best practices including versioning, testing, observability, CI/CD, etc.
• Experience working on cloud‑native architectures in a public cloud environment, ideally AWS.
• Strong oral and written communication skills and the ability to think strategically to optimize for long‑term goals.
• Proven ownership of system design decisions from requirements through production.
• Candidates who have experience working in the pharmaceutical industry, working in teams using agile software development methodology and have experience using agentic coding tools producing maintainable code are preferred.

The Global Grade for this role is: SE5 and SE6 to align with the Software Engineer and Sr. Software Engineer title.

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Computational Sciences

Roche est un employeur offrant l'équité en matière d'emploi.