Job title: DevOps Engineer

About the job

Sanofi’s Digital Data organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites.

In this role the person will develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. Specifically,

• Work with business and products teams to understand requirements, and translate them into technical needs

• Drive value from product prototyping to development, deployment, and optimization

• Develop, operate, and scale AI platforms based on requirements and design specifications using appropriate tools and technologies (following GitOps principles)

• Partner with peers within Digital, driving the continuous improvement of service processes, user experiences, and AI platforms and applications

• Propose and establish technical designs, patterns and best practices – actively contributing to the engineering community

• Conduct peer reviews for quality, consistency, and rigor for production level solutions

• Remain up to date industry practices, company standards and emerging technologies

• Chart the course to daily releases for hundreds of products on dozens of technologies.

Key Functional Requirements & Qualifications:

• Should have experience in working in agile cross-functional teams to solve complex data architecture and engineering problems

• Must have excellent analytical capabilities, and have the drive to find solutions and strong problem-solving skills

• Must have a solid understanding of agile concepts and development processes

Key Technical Requirements & Qualifications:

Education: 

• Master's degree in computer science, Information Systems, Software Engineering or similar field with 6-8 years of engineering experience.

Experience: 

• Expertise with public cloud services (AWS, Azure, or GCP)

• Expertise in agile development processes and DevOps methodology / best practices / patterns

• Expertise in managing cloud-native systems following GitOps principles (GitHub, GitLab, terraform, CI/CD, Orchestration, Actions)

• Expertise with monitoring solutions (Prometheus, Splunk, Grafana)

• Mentoring and/or technology evangelism/advocacy

• Scaling and operations of containerized applications (Kubernetes)

• Linux based operating systems and scripting languages (Python, Shell scripting)

• Data storage technologies (Object, structured, and unstructured) and knowledge of SQL and relational databases (AWS RDS)

Languages: 

• Fluent in English

Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

• Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.