Cognizant Technology Solutions

Design, develop, and maintain scalable Java backend microservices and event-driven applications with cloud deployment and collaboration. | Strong hands-on experience with Java 11/17/21, Spring Boot, microservices, Apache Kafka, Hibernate/JPA, advanced SQL, cloud platforms, Docker, Kubernetes, CI/CD, and Gen AI tools. | Senior Java Backend Engineer - Remote 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: Remote We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in US. Regardless of your working arrangement, we are here to support a healthy work-life balance through 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 9/15/2026. The annual salary for this position is between $60K - $117K 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 [email protected] for roles based in the Americas or [email protected] for roles based in India.

Lead design and implementation of enterprise Generative AI solutions using cloud-native technologies and AI platforms. | Requires proven experience with Generative AI, LLMs, cloud services (AWS), AI-assisted development tools, and leadership in AI architecture. | As a GenAI Solutions Architect, you will make an impact by leading AI-first engineering initiatives and designing enterprise-scale Generative AI solutions that accelerate innovation and business transformation. You will be a valued member of our AI & Digital Engineering team and work collaboratively with business leaders, product teams, architects, and engineering organizations to deliver scalable, cloud-native AI solutions that drive measurable business outcomes. In this role, you will: - Lead the architecture, design, and implementation of enterprise Generative AI solutions across business and technology programs. - Design scalable, cloud-native architectures leveraging Large Language Models (LLMs), AI agents, APIs, orchestration frameworks, and microservices. - Build and deploy AI-powered applications using technologies such as GPT, Claude, Gemini, Llama, and advanced Prompt and Context Engineering techniques. - Drive AI-assisted software engineering practices using tools such as GitHub Copilot and other AI development solutions to improve engineering productivity and accelerate delivery. - Architect and implement solutions leveraging AWS, Amazon Bedrock, and modern cloud technologies. - Establish best practices for AI platform engineering, responsible AI adoption, DevOps, and CI/CD automation. - Collaborate with stakeholders to define AI strategies, solution roadmaps, and implementation approaches. - Provide technical leadership and mentor engineering teams on AI architecture, platform engineering, and cloud-native development. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this roles business requirements, this is a hybrid position requiring 3 days per week onsite at a client location in Charlotte, North Carolina, or Jersey City, NJ with the remaining days worked remotely. The working arrangements for this role are accurate as of the date of posting. This may change based on the project youre engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered - Proven experience designing and delivering Generative AI solutions in enterprise environments. - Strong expertise in LLMs, AI Agents, Prompt Engineering, and Context Engineering. - Experience building cloud-native applications using AWS, including AI and platform services. - Experience with AI-assisted development tools such as GitHub Copilot, Claude, or similar technologies. - Strong understanding of APIs, microservices, distributed systems, and modern software architecture patterns. - Experience with DevOps, CI/CD pipelines, and engineering automation practices. - Strong stakeholder management, communication, and leadership skills. - Experience leading architecture discussions and influencing enterprise technology strategy. These will help you stand out - Experience with Amazon Bedrock, AI platform engineering, and agentic AI frameworks. - Knowledge of Palantir or similar enterprise AI and data platforms. - Experience implementing AI governance and responsible AI practices. - Insurance industry experience. - Experience leading enterprise AI transformation initiatives. - Experience mentoring architects and engineering teams on AI adoption and best practices. Salary and Other Compensation: Applicants will be accepted till 9/03/2026 Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* The annual salary for this position will be in the range of $119,000 - $139,000 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. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! Apply Now! #LI-IK1 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. Remote Skills: Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Business Transformation, Cloud Architecture, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, DevOps, Distributed Computing, GitHub, Incentive Programs, Insurance, Leadership, Life Insurance, Mentoring, Microservices, Modeling Languages, Power Amplifier, Process Engineering, Productivity Management, Programming Tools, Software Architecture, Software Engineering, Stock Purchase Plans, Technical Leadership, Technical Strategy, Vision Plan undefined: Cognizant Technology Solutions 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. Company Size: 10,000 employees or more Industry: Computer/IT Services undefined: 1994 Website: https://www.cognizant.com