Senior Consultant - Full Stack

About Cognizant Consulting

Cognizant Consulting is more than Cognizant's consulting practice—we're a global community of 6,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you?

About the role

As a Senior Consultant - Full Stack, you will make an impact by designing, building, and enhancing cloud-native applications that support the client's R&D organization. Operating at the intersection of science and technology, you will be a valued member of the R&D Technology Services team and work collaboratively with product owners, data experts, global engineering teams, and clients to deliver scalable, high-quality solutions that enable data-driven decision-making.

In this role, you will:

• Design, develop, test, and maintain scalable cloud-native applications across front-end and back-end systems, including modern microservice-based architectures, distributed systems, and RESTful APIs for enterprise platforms.
• Contribute to system architecture, technical design, and engineering standards, and create detailed technical documentation including Low-Level Design (LLD), Entity-Relationship (ER) diagrams, and component and class diagrams, while partnering with stakeholders to translate business requirements into scalable technical solutions.
• Implement infrastructure-as-code solutions, manage cloud environments, and build and maintain CI/CD pipelines for automated deployment and delivery, while implementing automated testing frameworks (unit, integration, end-to-end) and ensuring applications meet security, compliance, and operational standards.
• Integrate applications with enterprise R&D systems and scientific data platforms, build data pipelines supporting ingestion, transformation, and access, and enable interoperability using semantic data models and metadata standards.
• Take end-to-end ownership of features—from design through deployment—act as a technical contributor and mentor supporting junior engineers, influence stakeholders, drive improvements in development processes and architecture, and leverage AI-assisted development tools to improve productivity.
• Consistently demonstrate the Cognizant Way to Lead, which means operating with Personal Leadership (building trust, collaboration, and inclusion), Organizational Leadership (driving vision and purpose, demonstrating a strategic and enterprise mindset, and creating and communicating a bold direction that inspires purpose), and Business Leadership (exemplifying client focus, managing ambiguity with accountability and results, and operating with financial acumen).

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Mexico City, Guadalajara, Monterrey, or Querétaro, Mexico. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) with 5+ years of software engineering experience, or Master's degree with 3+ years of experience.
• Strong experience with at least one modern programming language (e.g., Python, Java, JavaScript), hands-on experience building full-stack applications using modern JavaScript frameworks (e.g., React, Angular, Vue), and designing/integrating REST APIs.
• Hands-on experience with AWS cloud services (EC2, RDS, S3, etc.), infrastructure-as-code (e.g., Terraform), and a strong understanding of microservices architecture and cloud-native design.
• Experience with relational databases (e.g., Oracle, PostgreSQL, MySQL), NoSQL databases (e.g., DynamoDB, Neptune), knowledge of data engineering pipelines (e.g., Spark, Databricks), and strong understanding of system design and data modeling.
• Experience with DevOps tools and CI/CD pipelines, automated testing methodologies, Agile/Scrum environments, and strong problem-solving, analytical, and communication skills with the ability to translate technical solutions to business impact.

These will help you succeed

• Experience with containerization and orchestration (e.g., Kubernetes/EKS) and AI-assisted development tools.
• Exposure to clinical, scientific, or biomedical platforms and 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.
• Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, & Leading the Business.
• The embodiment of Cognizant's Values of: Work as One, Dare to Innovate, Raise the Bar, Do The right Thing, & Own It.
  
  

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

À savoir avant de postuler

• Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
• Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
• L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
• Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
• Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
• Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.

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.