Senior Java Engineer - AI-Powered DevOps & Cloud

Cognizant; McLean (VA); Hybrid; USD 64,000 - 102,000; Full time

Benefits offered by this job

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

Job summary

Cognizant is seeking an experienced software engineer with a strong background in AI-enabled development, Java, and cloud-native architectures. The role emphasizes integrating AI-assisted practices into daily development, leading Agile/DevOps for AI lifecycles, and delivering enterprise-grade Java applications.

The candidate will collaborate across data science, ML, software, QA, and operations, ensuring secure, scalable solutions while driving continuous improvement.

Qualifications

• 8+ years of experience in Software Engineering, AI-enabled Development, DevOps, or related technology domains.

Responsibilities

• Utilize AI pair-programming tools to accelerate software development, debugging, refactoring, and solution design activities.
• Partner with engineering teams to integrate AI-assisted development practices into daily delivery workflows.
• Guide developers in effectively leveraging AI recommendations while maintaining engineering ownership and accountability.
• Ensure AI-generated suggestions comply with coding standards, security requirements, and architectural principles.
• Measure and improve developer productivity through responsible adoption of AI-assisted programming capabilities.
• Lead Agile and DevOps practices across the end-to-end AI lifecycle, including model development, deployment, monitoring, and continuous improvement.
• Implement MLOps and AIOps processes supporting version control, experimentation, deployment automation, and governance.
• Establish CI/CD pipelines for AI models, training workflows, testing, validation, and production releases.
• Coordinate collaboration among data scientists, ML engineers, software developers, QA, operations, and business stakeholders.
• Drive continuous delivery, operational excellence, and measurable improvements in AI solution reliability and business value.
• Design, develop, and maintain enterprise-grade applications using Java, Spring Boot, Microservices, REST APIs, and cloud-native architectures.
• Apply object-oriented programming principles, design patterns, and software engineering best practices to deliver scalable solutions.
• Optimize application performance, memory utilization, concurrency handling, and system reliability.
• Implement secure coding practices, automated testing, code reviews, and continuous integration processes.
• Collaborate with architecture, DevOps, QA, and business teams to deliver high-quality software aligned with organizational objectives.

Skills

AI-enabled development

DevOps

Agile/Scrum

Stakeholder management

Java engineering

Tools

GitHub Copilot

Microsoft Copilot

OpenAI platforms

Job description

Cognizant is seeking an experienced software engineer with a strong background in AI-enabled development, Java, and cloud-native architectures. The role emphasizes integrating AI-assisted practices into daily development, leading Agile/DevOps for AI lifecycles, and delivering enterprise-grade Java applications.

The candidate will collaborate across data science, ML, software, QA, and operations, ensuring secure, scalable solutions while driving continuous improvement.