Senior Full stack Development Engineer (Java, GCP, AI) L3

Job Role: Senior Full Stack Development Engineer (Java, GCP & AI) | L3

Years of Experience: 5–8 Years

Location: Hyderabad, Onsite

Employment Type: Full-Time

About the Company

Solvitecno LLP, under the Solvi brand, delivers advanced technology solutions and services tailored to diverse business needs. The organization specializes in strategic cloud solutions, managed IT services, expert consulting, and AI enablement. Solvi also focuses on organization and talent development, helping clients build resilient and future-ready teams. Its comprehensive disaster recovery services further support business continuity and operational stability for clients across industries.Our US Client with offices globally is a leading technology and digital transformation organization specializing in cloud-native application development, AI-driven engineering, and enterprise modernization. The organization partners with global enterprises to build scalable, high-performance software solutions using modern technologies such as Java, Google Cloud Platform (GCP), Microservices, Event-Driven Architecture, and AI-powered software engineering practices.

They are looking for an experienced Senior Full Stack Development Engineer (L3) who can lead module-level engineering initiatives, design scalable enterprise applications, mentor development teams, and drive AI-assisted software engineering practices across enterprise platforms.

Role Overview

We are looking for an experienced Senior Full Stack Development Engineer (Java, GCP & AI) to join our engineering team and lead the design, development, and delivery of enterprise-grade applications.

The ideal candidate should possess strong expertise in Java, Spring Boot, Microservices, Google Cloud Platform (GCP), Event-Driven Architecture, and modern AI-powered engineering practices. This role requires hands-on technical leadership, ownership of application modules, architectural decision-making, mentoring junior engineers, and close collaboration with client stakeholders to deliver scalable cloud-native solutions.

Candidates with experience in cloud-native application development, distributed systems, AI-assisted software development, enterprise integrations, and modern DevOps practices will be highly preferred.

Key Responsibilities

• Lead the design, development, and delivery of enterprise application modules.
• Define module architecture and establish engineering best practices and coding standards.
• Translate business requirements into scalable, secure, and maintainable software solutions.
• Lead architecture discussions, technical design sessions, code reviews, and pull request reviews.
• Own module-level technical delivery and collaborate directly with client stakeholders.
• Mentor and guide junior developers (L1/L2), promoting engineering excellence.
• Drive adoption of AI-assisted Software Development Lifecycle (AIDLC) practices.
• Design and implement Retrieval-Augmented Generation (RAG) and Agentic AI solutions.
• Build enterprise integrations using the Model Context Protocol (MCP) framework across business applications.
• Measure engineering productivity using AI-powered development tools.
• Participate in client demonstrations, technical design reviews, and solution workshops.

Required Experience & Skills:1. Backend Development

Java Development

• Strong expertise in Java 17+.
• Hands-on experience with Spring Boot and Microservices architecture.
• Strong knowledge of RESTful API development.
• Experience building scalable enterprise applications.

Application Architecture

• Experience designing modular and scalable software architecture.
• Strong understanding of object-oriented programming and design principles.
• Ability to convert business requirements into technical solutions.
• Cloud & Distributed Systems

Google Cloud Platform (GCP)

• Experience designing and deploying cloud-native applications on GCP.
• Hands-on experience with:
• GKE (Google Kubernetes Engine)
• Cloud Run
• Cloud SQL
• Pub/Sub

Event-Driven Architecture

• Strong understanding of asynchronous messaging.
• Experience working with Apache Kafka.
• Experience building distributed and event-driven systems.
• Database & Data Management
• PostgreSQL
• Database design and optimization
• SQL performance tuning
• Data modeling concepts
• DevOps & Modern Engineering

DevOps Practices

• Docker
• Terraform
• Maven
• SonarQube
• GitHub
• GitHub Copilot

CI/CD & Code Quality

• Experience with automated build and deployment pipelines.
• Knowledge of version control and collaborative development workflows.
• Strong focus on code quality, testing, and automation.
• AI-Powered Software Engineering

AI Engineering

• Vertex AI (Basic knowledge)
• Retrieval-Augmented Generation (RAG)
• Agentic AI
• MCP Framework
• AI Development Lifecycle (AIDLC)

AI Productivity

• Experience using AI-assisted engineering tools.
• Ability to improve engineering productivity through AI-enabled development practices.
• Enterprise Platforms & Integrations
• Camunda (Preferred)
• Appian (Preferred)
• IBM Watsonx (Preferred)
• Enterprise Integration frameworks
• Modern enterprise workflow automation
• Collaboration & Delivery
• Jira
• Confluence
• Agile/Scrum methodologies
• Cross-functional collaboration
• Client communication and stakeholder management

Required Experience

• 5–8 years of professional software engineering experience.
• Strong expertise in Java, Spring Boot, and Microservices.
• Experience building cloud-native applications on Google Cloud Platform (GCP).
• Hands-on experience with distributed systems and event-driven architecture.
• Experience with AI-assisted software engineering tools and practices.
• Strong technical leadership and mentoring experience.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Camunda Workflow
• IBM Watsonx
• Enterprise Integration
• Mainframe Modernization exposure
• AI Productivity Tools
• Cloud-native application modernization
• Enterprise application architecture

Tools & TechnologiesProgramming

• Java 17+
• Spring Boot
• Microservices
• REST APIs

Cloud

• Google Cloud Platform (GCP)
• GKE
• Cloud Run
• Cloud SQL
• Pub/Sub

Messaging

• Apache Kafka

Database

• PostgreSQL

DevOps

• Docker
• Terraform
• Maven
• SonarQube
• GitHub
• GitHub Copilot

AI & Modern Engineering

• Vertex AI
• Retrieval-Augmented Generation (RAG)
• Agentic AI
• MCP Framework
• AI Development Lifecycle (AIDLC)

Enterprise Platforms

• Camunda
• Appian
• IBM Watsonx

Collaboration

• Jira
• Confluence

Interested candidates can share resumes at hr@solvitecno.in !

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