Senior Full Stack Architect (Cloud & AI Engineering)

Quick Facts

Role: Senior Full Stack Architect (Cloud & AI Engineering)

Experience: 10–15 years stated (with 15+ years experience expected in the requirements)

Description

Lead end-to-end technical architecture and hands-on engineering for scalable full-stack, cloud, and AI-enabled platforms within a SaaS and enterprise integration environment. Own solution design, engineering standards, and production support for complex issues, while modernizing web, APIs, databases, and cloud infrastructure. Actively leverage AI-assisted engineering practices to improve productivity, code quality, and delivery speed.

Responsibilities

• Own end-to-end technical architecture and solution design for applications and platforms
• Design scalable, secure, resilient, and maintainable solutions across cloud, web, SaaS, and enterprise ecosystems
• Provide technical direction for modernization, platform engineering, integrations, and technology upgrades
• Lead and mentor engineering teams across frontend, backend, database, and cloud technologies
• Conduct design and code reviews; establish engineering standards and quality practices
• Be hands-on for complex implementations, debugging, and proof of concepts
• Drive quality through automated testing, code quality practices, CI/CD, and DevOps
• Lead production support for complex issues; perform deep root-cause analysis and permanent corrective actions
• Improve observability, resilience, and support processes; balance support with strategic engineering initiatives
• Use AI tools across the SDLC (code generation, code review, debugging, test automation, documentation, research)
• Translate business requirements into actionable engineering plans; analyze technical and functional gaps, risks, and dependencies
• Contribute to Agile delivery, governance, documentation, traceability, estimates, dependency management, and release planning
• Communicate architecture decisions, risks, and recommendations clearly across technical and non-technical stakeholders

Requirements

• 10–15 years of experience (with expectation of strong senior/architect-level leadership)
• Hands-on technical leadership across full-stack development and enterprise engineering
• Strong AWS (or equivalent cloud) experience and cloud-native architecture knowledge
• Java-based enterprise application development experience
• Angular or React experience
• Oracle (or equivalent) relational database and SQL experience
• REST APIs, microservices, distributed systems, and enterprise integrations experience
• Production support leadership including incident resolution and root-cause analysis
• Experience leveraging AI-assisted engineering tools and AI-enabled SDLC practices
• Ability to work with ambiguity and translate business needs into technical solutions
• Strong communication skills with diverse stakeholder groups

Hard Skills & Technologies

• AWS
• Azure
• Java
• Spring Boot
• Microservices
• Angular
• React
• REST
• SQL
• Oracle
• NoSQL
• Data Lakes
• Docker
• CI/CD
• Git
• DevOps
• AI coding assistants
• AI-enabled SDLC
• Agentic engineering
• Test automation
• Jira
• ServiceNow
• Slack
• Microsoft Teams

Benefits

No benefits were specified in the provided job posting.