Job description

Senior Full Stack Engineer (AI-Driven Engineering) About the Role As a Senior Full Stack Engineer , you will make an impact by designing, building, and delivering scalable software solutions that solve complex business challenges. You will be a valued member of a cross-functional engineering team and work collaboratively with product managers, architects, security teams, platform engineers, and business stakeholders to deliver high-quality solutions from concept to production. This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, H1B or any other work authorization requiring employer sponsorship. In This Role, You Will: • Design and implement scalable, cloud-native applications, translating complex business requirements into robust technical solutions. • Own end-to-end delivery of features across backend services, data platforms, APIs, and user interfaces while making pragmatic technology decisions. • Leverage AI-assisted development tools throughout the software development lifecycle to improve engineering productivity while maintaining accountability for quality, security, and performance. • Build reliable and secure solutions by embedding DevSecOps best practices, automated testing, CI/CD pipelines, observability, and monitoring capabilities. • Partner closely with product, business, security, and platform teams to communicate technical decisions, manage risks, and drive successful business outcomes. 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 the United States , 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 • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. • 7+ years of experience designing, developing, and deploying enterprise-grade software solutions. • Strong experience building full-stack applications using modern technologies such as Python, Vue.js, APIs, and cloud-native architectures. • Hands-on experience with AWS and/or GCP, Infrastructure as Code (Terraform), and modern software delivery practices. • Experience using AI-powered engineering tools and workflows throughout the software development lifecycle. • Strong understanding of secure software development, CI/CD pipelines, testing strategies, and operational excellence. • Proven ability to collaborate directly with business stakeholders, influence technical decisions, and work effectively in fast-paced environments. These Will Help You Stand Out • Experience designing solutions in ambiguous environments and rapidly validating concepts through prototypes and proof-of-concepts. • Expertise in cloud architecture, microservices, and distributed systems design. • Experience implementing observability frameworks, monitoring, alerting, and incident response practices. • Strong understanding of AI agent workflows, automated quality gates, and software engineering productivity patterns. • Demonstrated success leading technical initiatives and mentoring engineering teams. 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. Compensation The annual salary for this position ranges from $120,000 to $140,500 , depending on experience and qualifications. This role is also eligible for Cognizant’s discretionary annual incentive program, subject to performance and applicable plan terms. 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. 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. 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.

Requirements

Must-haves

Senior Full Stack Engineer (AI-Driven Engineering)
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, H1B or any other work authorization requiring employer sponsorship.
Design and implement scalable, cloud-native applications, translating complex business requirements into robust technical solutions.
Own end-to-end delivery of features across backend services, data platforms, APIs, and user interfaces while making pragmatic technology decisions.
Leverage AI-assisted development tools throughout the software development lifecycle to improve engineering productivity while maintaining accountability for quality, security, and performance.
Build reliable and secure solutions by embedding DevSecOps best practices, automated testing, CI/CD pipelines, observability, and monitoring capabilities.
Partner closely with product, business, security, and platform teams to communicate technical decisions, manage risks, and drive successful business outcomes.
Work Model ( Remote)
What You Need to Have to Be Considered
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
7+ years of experience designing, developing, and deploying enterprise-grade software solutions.
Strong experience building full-stack applications using modern technologies such as Python, Vue.js, APIs, and cloud-native architectures.
Hands-on experience with AWS and/or GCP, Infrastructure as Code (Terraform), and modern software delivery practices.
Experience using AI-powered engineering tools and workflows throughout the software development lifecycle.
Strong understanding of secure software development, CI/CD pipelines, testing strategies, and operational excellence.
Proven ability to collaborate directly with business stakeholders, influence technical decisions, and work effectively in fast-paced environments.
These Will Help You Stand Out
Experience designing solutions in ambiguous environments and rapidly validating concepts through prototypes and proof-of-concepts.
Expertise in cloud architecture, microservices, and distributed systems design.
Experience implementing observability frameworks, monitoring, alerting, and incident response practices.
Strong understanding of AI agent workflows, automated quality gates, and software engineering productivity patterns.
Demonstrated success leading technical initiatives and mentoring engineering teams.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdpythonvueawsgcp

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave