Sr. Software Engineer B3

Job Summary

Sr Software Engineer B3 will design and deliver resilient Java microservices on AWS using Kafka for high throughput data integration in a hybrid work model. The role involves end to end solution engineering from technical design to production support ensuring secure scalable systems that improve customer experiences and operational efficiency while aligning with strategic enterprise goals.

Responsibilities

• Design and develop robust Java microservices that are scalable maintainable and aligned with enterprise engineering standards to support critical business applications and customer facing platforms.
• Architect and implement event driven solutions using Kafka to enable reliable asynchronous communication between distributed services and to support real time data streaming across complex ecosystems.
• Optimize AWS based application deployments by selecting appropriate services configuring infrastructure as code and tuning performance to achieve cost efficient secure and highly available environments.
• Collaborate with product owners architects and cross functional engineering teams in a hybrid work model to translate business requirements into detailed technical designs and implementation plans.
• Implement secure coding practices API governance and data protection mechanisms within microservices to ensure compliance with organizational security guidelines and industry regulations.
• Troubleshoot complex production incidents by performing root cause analysis across Kafka streams microservices and AWS components and implement preventive improvements to enhance system resilience.
• Drive continuous integration and continuous delivery pipelines by configuring build test and deployment workflows that accelerate release cycles while maintaining high code quality standards.
• Mentor junior engineers in best practices for Java microservices Kafka event streaming and cloud native design patterns to elevate overall team capability and technical maturity.
• Analyze system performance metrics and application logs to identify bottlenecks and apply targeted optimizations that improve response times throughput and resource utilization.
• Coordinate with site reliability and operations teams to define observability strategies including logging metrics and alerts for Kafka topics and microservices to support proactive monitoring.
• Contribute to technical roadmaps by evaluating emerging tools frameworks and AWS services that can strengthen platform reliability and deliver better experiences for customers and business stakeholders.
• Document architecture decisions service contracts data flows and operational runbooks in clear and accessible formats to support knowledge sharing and sustainable long term maintenance.
• Engage in code reviews backlog refinement and technical discussions during day shifts to ensure solutions are feasible maintainable and aligned with organizational goals without requiring travel.

Qualifications

• Demonstrate strong proficiency in Java and object oriented design with the ability to build clean modular and testable microservices that integrate reliably within distributed systems.
• Apply expert level understanding of Kafka including topic design consumer group strategy and message serialization to implement high throughput and fault tolerant event streaming solutions.
• Utilize hands on experience with AWS services such as compute storage networking and managed data solutions to design secure scalable and cost conscious cloud architectures.
• Bring solid knowledge of microservices principles including service decomposition resilience patterns and interservice communication to ensure loosely coupled and evolvable solutions.
• Exhibit practical experience with hybrid work collaboration tools and agile methodologies to coordinate effectively with onsite and remote team members across projects.
• Employ strong analytical problem solving and debugging skills to diagnose complex issues spanning code infrastructure and data flows and to deliver timely sustainable resolutions.

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.