Senior Full-Stack Software Engineer / Ingénieur Logiciel Senior Full-Stack

Sophia Genetics SA; Boston (MA); On-site; USD 88,000 - 168,000; Full time

Benefits offered by this job

Sickness and Accident coverage

Meal Vouchers

Fun work environment

Free parking

Social committee support

Job summary

Sophia Genetics SA is seeking a Senior Full-Stack Software Machine Learning Engineer to develop impactful healthcare solutions. This hybrid role requires expertise in web development, machine learning engineering, and collaboration across teams.

Located in Boston, MA, the Engineer will contribute to the AI-powered SOPHiA DDM Platform, ensuring streamlined processes for healthcare data analysis. Candidates should possess 5-7 years of experience and a degree in Computer Science or Engineering.

Qualifications

• 5-7 years’ experience in web development.
• Demonstrated experience in developing reliable web-based services.
• Good knowledge of software engineering best-practices.

Responsibilities

• Lead development and delivery of web-based solutions.
• Enhance system performance through database optimization.
• Collaborate with cross-functional teams to meet market needs.

Skills

Web development

Machine learning engineering

React

Java

Microservices architecture

Database optimization

Agile

CI/CD

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Docker

Kubernetes

GitLab

Grafana

Loki

Job description

Are you an experienced full-stack software engineer with a passion for building impactful digital healthcare solutions? Join our team to develop and deliver web modules and microservices for a globally distributed platform that connects hospitals and labs. You’ll focus on genomics interpretation, data processing, and analysis, contributing to our SaaS platform that transforms how complex healthcare data is shared and utilized. You also bring machine learning engineering experience, including designing RAG pipelines and evaluating LLM-based systems.

If this sounds like you and you are driven by purpose, join the SOPHiA GENETICS Software Engineering team as our new Senior Full-Stack Software Machine Learning Engineer, and enable us to make a positive impact on the outcomes for cancer and rare disease patients worldwide.

This is a hybrid opportunity, requiring 3 days onsite our corporate office in either Bidart, FR, Rolle, CH or Boston, MA. Please ensure that all CV/Resumes are submitted in English as we are an international company that uses English as our language of business.

Our Mission

We believe there is a smarter, more data-driven way to make decisions in healthcare and our cloud-native AI powered SOPHiA DDM Platform makes that vision a reality on a daily basis. You will have direct input to our mission to democratize data-driven medicine for the ultimate benefit of cancer and rare disease patients across the globe.

Your Mission

As our Senior Full-Stack Software Engineer, you will lead the development and delivery of web-based solutions that directly support Sophia Genetics’ business objectives in digital healthcare. You will work closely with product, QA, and cross-functional teams to ensure our platform meets market needs, regulatory standards, and performance goals, enabling hospitals and labs to efficiently process and analyze complex genomics and clinical data. Your responsibility includes deeply understanding business needs and translating them into effective technical solutions, optimizing workflows, and contributing to the scalability and commercial success of our SaaS platform.

End-to-End Software Development & Delivery

• Develop and optimize web-based services and components, leveraging modern frameworks (React, Next.js, Node.js) and robust backend technologies (Java, microservices) to deliver seamless user experiences.
• Own and drive the full lifecycle of complex, high-performance software systems—from design and implementation to testing, deployment, and maintenance—ensuring reliability and scalability.
• Enhance system performance through database optimization (MySQL, MariaDB, DuckDB) and efficient query design, ensuring data integrity and fast processing.
• Leverage AI and modern tools to enhance SDLC, observability, monitoring, and system intelligence, driving data-driven decision-making.
• Design, integrate and evolve machine learning components into a production environment, including RAG pipelines for knowledge retrieval and systematic ML model evaluation frameworks.

Technical Leadership & Collaboration

• Orchestrate cross-functional projects by collaborating with Product, QA, Architecture, and other teams to design interoperable systems and deliver high-impact features.
• Lead code reviews and mentor junior engineers, fostering a culture of quality, innovation, and continuous improvement.
• Resolve complex technical issues with efficiency, minimizing downtime and ensuring smooth operations.

Operational Excellence & Process Improvement

• Streamline SDLC processes, integrating Agile, CI/CD, and DevOps tools (Docker, Kubernetes, GitLab) to accelerate delivery and improve workflow automation.
• Collaborate with stakeholders (PMO, Product, QA, Architecture) to align technical execution with product vision and user needs.

Business Understanding

• Bridge technical execution with business goals by deeply understanding the genomics and digital healthcare domain, ensuring solutions align with user needs and regulatory requirements.
• Advocate for user-centric improvements by reviewing designs against ease of use and suggesting enhancements to product stakeholders based on hands‑on experience.

Requirements

• 5-7 years’ experience in the web development field
• Bachelor’s degree in Computer Science or Engineering or equivalent professional experience
• You have demonstrated experience in developing reliable web-based services and have a firm grasp on the underlying challenges of releasing web components to production
• Solid proficiency of front-end framework: React, NextJS, Node, JSX
• Proficiency in Java for back-end development
• Solid understanding of backend technologies and microservices architecture
• Experience with databases like MySQL, MariaDB, and DuckDB (plus design and query optimization)
• Experience with AI use in SDLC
• Experience with machine learning engineering in a production environment, including building and evaluating RAG pipelines, LLM evaluation methodologies, and general lifecycle management
• Familiarity with Linux environments and GitLab for version control and CI/CD pipelines
• Good knowledge of software engineering best-practices, Agile, CI/CD, testing frameworks, TDD, BDD
• Familiarity with monitoring and observability tools like Grafana and Loki is a plus
• Knowledge of GraphQL is a plus
• Knowledge of modern DevOps tools would be a plus
• Experience with containerization (Docker) and orchestration (Kubernetes) technologies is a plus
• Experience in the domain of genomics and digital healthcare is a plus

Benefits

You will be joining an organization with the patient at the heart of every decision and action, driven by purpose as we pursue exponential growth.

Our benefits package is comprehensive, but varies internationally in line with local standards and laws. You can discuss a full breakdown with us, but as a brief overview:

• Sickness and Accident coverage through Helsana
• Meal Vouchers at 90 CHF PM with our partner cafeteria
• A fun and engaging work environment, with Rest & Entertainment space, full stocked free coffee machine and free fruit/snacks
• Free parking in an easy to access location
• A strong social committee whose purpose is to make SOPHiA GENETICS both enjoyable as well as rewarding
• As our global HQ, you’ll have direct interaction and exposure to senior leadership and our executive team locally

Start Date

ASAP

Location

Bidart, FR or Rolle, CH or Boston, MA (Hybrid, 3 days onsite)

Contract

Permanent

MA Pay Range

USD 88,000 - 168,000

Disclaimer

The estimated pay range represents a good faith estimate of what the Company expects to pay a successful applicant for the listed position and applies specifically to candidates based in Massachusetts. Due to various factors, the estimated pay range may vary in other locations. Should the level or location of the role change during the hiring process, the applicable base range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, job related skills, years of experience, location, relevant education or training, internal equity, and alignment with market data. The range does not include benefits, and if applicable, bonus, commission, or equity.