Top Tech Jobs & Startup Jobs in Mumbai

Configure, customize, and support packaged or SaaS applications using Java full-stack technologies, Spring Boot, React.js, APIs, and low-code platforms. Manage releases, troubleshoot complex issues, optimize application performance, and ensure system stability. Lead team decisions, collaborate across teams, mentor colleagues, and coordinate stakeholders to align solutions with business requirements.

Develop and lead end-to-end full-stack features using Java, Spring Boot, React.js, and related front-end technologies. Design RESTful APIs, integrate backend services, apply cloud deployment strategies, and deliver maintainable solutions using agile and cloud-first practices. The role serves as a subject matter expert, coordinates development across teams, makes technical decisions, mentors junior engineers, and facilitates cross-functional collaboration.

Leads enterprise technology assessments, architecture reviews, modernization evaluations, and transformation roadmaps. Assesses application, cloud, platform, data, and integration environments; defines target architectures; performs gap analysis and technology due diligence; and produces recommendations and implementation roadmaps. Provides architecture governance, technical direction, stakeholder collaboration, and mentorship across large-scale transformation programs.

Leads enterprise technology assessments, architecture reviews, modernization evaluations, and transformation roadmaps. Assesses application, cloud, platform, data, and integration landscapes; defines target architectures; performs gap analysis and technology due diligence; recommends modernization strategies; and provides governance and technical direction. Collaborates with multidisciplinary specialists, produces architecture documentation, supports transformation programs, and mentors engineering and architecture teams.

Develop scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following software engineering, SDLC, agile, quality, and CI/CD practices.

Architect and optimize production AI and Snowflake infrastructure, including scalable warehouses, Snowpark workloads, secure data and feature pipelines, model integrations, automation, CI/CD, observability, governance, and cost controls. Evaluate technologies and architecture alternatives, lead assessments and roadmap planning, establish reliability and compliance practices, and mentor engineers while aligning technical decisions with client business requirements.

Architects and engineers scalable Snowflake-based AI and data infrastructure for production applications. Designs warehouses, Snowpark workloads, AI-ready pipelines, model integrations, governance, CI/CD, observability, and cost optimization. Evaluates infrastructure technologies, leads architecture reviews, defines roadmaps and standards, ensures security and compliance, and mentors engineering teams while aligning technical solutions with client requirements and business outcomes.

Architects and engineers scalable Snowflake-based AI and data infrastructure for production workloads. Designs warehouses, Snowpark workloads, feature pipelines, model integrations, automation, CI/CD, observability, governance, security, and cost optimization. Leads architecture assessments, technology evaluations, roadmaps, capacity planning, and infrastructure standards while ensuring compliance and reliability. Partners with clients and engineering teams, provides technical direction, reviews designs and code, and mentors engineers.

Develop and enhance enterprise-grade full-stack applications using Java, .NET, Python, React, or Angular. Design scalable cloud-native solutions across AWS, Azure, and Google Cloud, build API and microservices integrations, and implement AI-enabled features. Collaborate with DevOps teams on Docker, Kubernetes, infrastructure as code, and CI/CD. Apply secure coding, performance optimization, testing, and architectural best practices while mentoring teams and translating business needs into technical solutions.

Develop scalable enterprise full-stack applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and pre-built AI services, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, and CI/CD practices.