Senior Full Stack Engineer (AI-Driven Engineering)
Indexed description
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.
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.
- 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.
- 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.
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.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search