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Senior Java Software Engineer

00068700001

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.

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include financial education, a pension plan with matching contributions, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

CAN Brigitte
Cognizant is great for those wanting to make the world a better place, as we create solutions with top technology partners to address complex problems for our clients.
Brigitte Roy Director of Strategy Alliances
CAN Rahul
I’m supported by motivational leaders who empower me to grow in my career through learning programs, industry conferences and internal job moves. I’m proud of the career progression I’m making here.
Rahul Sathe Principal Product Architect – Insurance
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The moment I joined Cognizant, I felt like I belonged. I was heard and empowered to challenge ideas—and I still am to this day.
Dr. Amita Oppal Gill Service Line Sales Manager
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Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
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