Job Summary:
We’re looking for a Platform Engineer / Backend Engineer with extensive experience, strong Java, AWS and Kubernetes skills, and a strong engineering mindset to take a key role on our team. The engineer should have a thorough understanding of the Software Development Life Cycle (SDLC) and should have contributed across all its phases – requirements, design, development, testing, deployment and support – along with experience building scalable backend and cloud-native services. The role also calls for good experience using AI tools, including the ability to write the right prompts for a given context, to improve engineering productivity, documentation, testing and solution design. A good understanding of the Banking, Financial Services and Insurance (BFSI/BFS) domain is important so the engineer can write accurate, business-aware prompts and validate AI-assisted outputs in context.
Key Responsibilities:
Good understanding of design concepts, distributed systems and cloud-native architecture.
Bring a strong engineering mindset and a solid understanding of the Software Development Life Cycle (SDLC), with demonstrated contribution across all its phases – requirements analysis, design, development, testing, deployment and production support.
Maintain quality and ensure responsiveness, scalability and reliability of applications.
Experience with common design and architectural patterns coupled with a passion for writing clean, performant and well-tested code.
Maintain code integrity, organization and secure engineering practices.
Understand and implement security, data protection and compliance-aware development practices.
Develop backend services using Core Java 11 and above, JDBC, Microservices, REST Web Services, Spring Framework, Kafka and AWS.
Design, deploy and operate containerized services using Docker and Kubernetes, including AWS EKS/ECS, Helm or equivalent deployment tooling, service discovery, configuration, secrets and observability practices.
Use AI-assisted engineering tools responsibly for code generation, unit test creation, documentation, debugging, code review support, analysis and productivity improvement.
Write clear, accurate and context-rich prompts for AI tools by applying strong understanding of BFS/BFSI business processes, terminology, risk, controls and customer journeys.
Experience with cloud message APIs and usage of push notifications.
Follow and advocate best coding practices, CI/CD, continuous delivery and code reviews.
Experience working with relational and non-relational databases.
Essential Skills:Extensive experience in Java 11 and above, Spring Framework, MVC, JDBC, Hibernate, REST Microservices/API’s, Cloud API’s and AWS services such as Lambda, ECS, EKS and Terraform, with a strong engineering mindset.
Strong understanding of SDLC with demonstrated contribution across all its phases – requirements, design, development, testing, deployment and support.
Strong Kubernetes experience, including cluster concepts, deployments, services, ingress, config maps, secrets, autoscaling, monitoring/observability and troubleshooting containerized workloads.
Extensive experience in backend development using Oracle PL/SQL and NoSQL databases.
Good experience using AI tools in the software delivery lifecycle, including prompt writing, code assistance, test generation, documentation, debugging and validation of AI-generated outputs.
Good understanding of the BFS/BFSI domain, including financial products, customer/account journeys, regulatory sensitivity, data privacy, risk controls and domain terminology, to support accurate prompt engineering and business-context validation.
Nice to Have Skills:Good understanding of CI/CD framework and build automation.
Good understanding of Agile methodologies and practices.
Experience with infrastructure as code and deployment automation for Kubernetes-based platforms.
Analytical and reasoning skills.
Strong communication and collaboration skills.
Qualifications:
Expert in Core Java 11 and above.
Thorough understanding of Java EE architecture, design patterns and Spring Framework.
Experience writing RESTful web services.
Experience with commonly used AWS services such as Lambda, EKS, ECS and EC2.
Hands-on experience with Kubernetes, container orchestration and cloud-native deployment patterns.
Experience using AI tools for engineering productivity, prompt creation, documentation, testing and code analysis.
Good understanding of BFS/BFSI domain concepts to create business-aware prompts and review AI-assisted outputs for correctness.
Experience writing automation test scripts using Selenium / Cucumber.
Strong knowledge of SQL and RDBMS database design.
Experience as part of an Agile development team, preferably Scrum.
Extensive years of overall industry/software engineering experience, with a strong engineering mindset and contribution across all phases of the SDLC.
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 sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
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, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.
Si vous avez un handicap qui nécessite un aménagement raisonnable pour rechercher une offre d'emploi ou poser une candidature, envoyiez un courriel à [email protected] avec votre demande et vos coordonnées.
