Senior Full Stack Developer - Hybrid / Partially Client Onsite

Req ID: 363690 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

 

We are currently seeking a Senior Full Stack Developer - Hybrid / Partially Client Onsite to join our team in New York City, New York (US-NY), United States (US).

 

Day to Day/Job Function 

• Design, develop, and operate end-to-end full-stack applications including front-end user interfaces, back-end services, and supporting infrastructure.
• Own the complete software development lifecycle including system design, development, testing, deployment, monitoring, and production support.
• Build and operate applications using modern GitOps-driven SDLC practices to ensure reliable and repeatable deployments.
• Develop scalable, highly performant, and resilient distributed systems with strong focus on reliability and operational efficiency.
• Participate in production operations including monitoring, incident resolution, root cause analysis, and system optimization following “you build it, you run it” principles.
• Collaborate with product managers, business stakeholders, and cross-functional teams to translate functional requirements into robust technical solutions.
• Develop responsive and component-based user interfaces using modern front-end technologies and frameworks.
• Design and implement secure and scalable APIs and backend services using REST/JSON standards.
  Ensure backward compatibility, version control, and maintainability in API design and service development.
• Solid in DevOps with hands on knowledge in CI/CD pipelines, Jenkins and related toolset
• Work with Kubernetes-based environments to deploy, scale, and manage containerized applications.
• Develop automated workflows and scripts to streamline repeatable development, deployment, and operational tasks.
• Conduct testing including UI testing, component testing, and integration testing to ensure application stability and performance.

 

Required Qualifications: 

• 6+ years experience working in Kubernetes-based containerized environments including deployment, scaling, and operational management.

• 8+ years of experience in software development, with strong focus on full-stack application development.
• 6+ years experience with Java-based backend development.
• 6+ years experience developing modern front-end applications using React or similar frameworks.
• 6+ years of experience building scalable APIs and backend services using REST/JSON architectures.
• 6+ years experience implementing CI/CD pipelines, GitOps ,DevOps tooling, at least hyperscaler, and automated deployment processes with infra as code (IaC) understanding
• 6+ years experience building and supporting production-grade systems with high availability and operational reliability.
• 6+ years experience working in automation frameworks for workflow orchestration and operational efficiency.

 

Nice to Have:(But not a must)

• Machine learning and deep learning/ LLM knowledge

 

Degree - Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent work experience.

 

#LI-NorthAmerica

 

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

 

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