The Opportunity
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We are looking for an experienced Backend Python Engineer to build robust, scalable APIs and services that power our digital products in the life sciences sector. Working closely with our Frontend/UX team and Data Scientists, you will design the backend infrastructure required to process, manage, and serve complex bioinformatics and machine learning data. In this highly collaborative role, you will tackle challenges ranging from optimizing database queries for massive datasets to architecting cloud-native solutions on AWS. We value engineers who are comfortable exploring complex data structures, establishing clean API boundaries, and ensuring high reliability as we scale our platforms to support critical scientific innovation.
Key Responsibilities
Design, build, and maintain high-performance, asynchronous backend services and robust RESTful APIs.
Architect, deploy, and manage scalable and secure cloud infrastructure, utilizing Infrastructure as Code (IaC) principles.
Design efficient database schemas, manage complex data relationships, execute seamless migrations, and ensure performant query optimization for massive datasets.
Build and maintain data pipelines to ingest, normalize, and process large volumes of structured and unstructured scientific and bioinformatics data.
Champion engineering excellence by writing clean, testable code, implementing comprehensive automated testing, and maintaining reliable CI/CD pipelines.
Partner directly with the UX/Frontend team to establish seamless API integrations, and collaborate with Data Scientists to bring machine learning models into production workflows.
Who You Are
You are a proactive, collaborative software engineer who thrives on solving complex backend challenges. You possess a strong analytical mindset, are passionate about clean API boundaries, and excel at transforming data infrastructure to drive meaningful progress.
Must-Haves
5+ years of software engineering experience, with Python as your primary language.
Strong software engineering fundamentals, including robust API design and experience building and scaling RESTful systems.
Solid understanding of relational databases, data modeling, schema migrations, and query optimization.
Proven experience building, deploying, and managing scalable infrastructure in cloud environments, ideally utilizing Infrastructure as Code (IaC).
A strong focus on code quality, automated testing, and maintainability within CI/CD pipelines.
Demonstrated ability to make progress in ambiguous environments, taking ownership of problems end-to-end—from understanding user needs to shipping production‑ready solutions.
Tech Stack Alignment
FastAPI
PostgreSQL
SQLAlchemy
Alembic
AWS (S3, Aurora, Fargate, Lambda, CDK)
pytest
NumPy
Nice-to-Haves
Domain knowledge or a strong interest in the life sciences sector, specifically Sequencing, PCR, Bioinformatics, or digital healthcare.
Direct experience working with AWS HealthOmics or building data pipelines for genomic/biological data.
Background in data-heavy or AI-integrated product architectures, including an interest in how AI/ML systems behave in production.
Previous experience working within large, globally distributed enterprise environments (e.g., Pharma, MedTech).
This is an on‑site position and no relocation assistance is provided.
Equal Opportunity Statement
Roche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. xpzdshu We are Roche.
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