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
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
