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Senior Java Backend Engineer (Hybrid)

Cognizant Technology Solutions Corp

  • Bentonville, AR
  • 15 days ago
  • $46,000 Per Year

Highlights

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. Collaborate effectively with architects, product owners, business stakeholders, and cross-functional teams to gather requirements, provide technical guidance, resolve complex production issues, and ensure successful project delivery.

Numbers & Facts

LocationBentonville, AR
IndustryComputer/IT Services
Company Size10,000 employees or more
Year Founded1994
Websitehttps://www.cognizant.com

Description

Senior Java Backend Engineer (Hybrid)

Important Disclaimers:

Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.

Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

In this role, you will:

  • Design, develop, and maintain highly scalable, secure, and high-performance enterprise applications using Java 11/17/21, J2EE, Spring Boot, and Microservices architecture, adhering to coding standards and best practices.
  • Develop and support event-driven applications using Apache Kafka, including producer/consumer implementations, message processing, error handling, monitoring, and performance tuning.
  • Design and optimize database solutions using Hibernate/JPA and Advanced SQL, including data modeling, query optimization, indexing strategies, performance tuning, and troubleshooting complex database issues.
  • Diagnose and resolve production issues through detailed root cause analysis and implement long-term, sustainable fixes.
  • Build, deploy, and manage applications on Azure, AWS, and/or GCP and Develop, deploy, and support containerized applications using Docker and Kubernetes
  • Utilize Gen AI tools such as GitHub Copilot to accelerate development, improve code quality, support debugging, create unit tests, perform code reviews, and enhance overall engineering productivity.
  • Collaborate effectively with architects, product owners, business stakeholders, and cross-functional teams to gather requirements, provide technical guidance, resolve complex production issues, and ensure successful project delivery.

Location: Bentonville, AR

Work model: Hybrid

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 office in Bentonville, AR. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

What you need to have to be considered:

  • Strong hands-on development experience in Java 11/17/21, J2EE, Spring Boot, and Microservices architecture, with proven expertise in designing and developing scalable enterprise applications.
  • Proven experience designing and developing large-scale, high performance microservices architectures.
  • Hands-on expertise in Apache Kafka for event-driven architectures, messaging, asynchronous processing, and distributed system integration.
  • Strong knowledge of Hibernate/JPA and Advanced SQL, including database design, query optimization, performance tuning, and data modeling.
  • Deep expertise advanced SQL and practical experience with cloud platforms such as Microsoft Azure, AWS and/or Google Cloud Platform (GCP)
  • Experience with Docker and Kubernetes, deploying and managing containerized applications in enterprise environments and Solid understanding of
  • CI/CD pipelines, with experience troubleshooting build failures, test errors, and deployment issues
  • Hands-on experience with Gen AI tools such as GitHub Copilot, leveraging AI-assisted development for coding, debugging, code reviews, testing, and productivity improvements.
  • Candidate must possess strong coding, debugging, and problem-solving skills with the ability to work independently on complex technical challenges
  • Strong interpersonal, communication, and stakeholder management skills, with the ability to collaborate effectively across business and technical teams
    • 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.

Salary and Other Compensation:

Applications will be accepted until 9/5/2026.

The annual salary for this position is between $46K - 93,500K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits 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.

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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

About Company

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 230 on the Fortune 500 and is consistently listed among the most admired companies in the world.

We're driven by a passion to help our clients build stronger, more agile and more innovative businesses.

Cognizant enables global enterprises to address a dual mandate: to make their current operations as efficient and cost-effective as possible and to invest in innovation to unleash new potential across their organizations.

What makes Cognizant unique is our ability to help clients meet both challenges. We help them enhance productivity by ensuring that vital business functions work faster, cheaper and better. And, our ability to conceptualize, architect and implement new and expanded capabilities allows clients to transform legacy models to take their business to the next level.

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