Solution Director

Job Summary

Job Description: Java Solution Architect

Position Title: Java Solution Architect

Band: E6.1

Location: Bengaluru

Experience: 20+ Years

 

Role Summary

We are seeking a senior, hands-on Java Solution Architect with a strong solutioning mindset, deep technical credibility, and the ability to operate confidently across clients, senior management, architects, and engineering teams. The candidate must be equally comfortable shaping enterprise-level architecture, discussing strategy with CXO and senior stakeholders, and going deep into low-level design, code-level decisions, integration patterns, performance, security, and implementation trade-offs.

This role requires a forward-thinking technology leader who can design scalable Java, cloud, integration, and AI-enabled solutions while also leading teams through delivery. The ideal candidate will bring strong Java/J2EE and Spring Boot experience, practical exposure to AWS, Azure, and GCP, good domain affinity, and the ability to articulate solution relevance within a chosen business domain, preferably Financial Services. The candidate should also contribute effectively to RFP and solution responses and demonstrate the learning agility to continuously evaluate, adopt, and guide teams on emerging technologies including Generative AI and Agentic AI.

Key Responsibilities

• 1. Architecture & Solution Design

• Lead end-to-end solution architecture for enterprise-scale applications, modernization programs, and digital transformation initiatives.
• Define solution blueprints, architecture roadmaps, and technical strategies that balance business value, delivery feasibility, risk, cost, scalability, and long-term maintainability.
• Translate complex business problems into pragmatic, scalable, secure, and high-performance technology solutions.
• Establish architecture standards, design principles, and governance processes.

• 2. Technology Leadership

• Design and review microservices-based architectures using Java/J2EE, Spring Boot, APIs, messaging, event-driven patterns, and enterprise integration frameworks.
• Lead API-first, event-driven, and integration-centric architectures.
• Define system integration patterns across enterprise applications, third-party platforms, SaaS solutions, and legacy systems.
• Guide engineering teams on design patterns, coding standards, low-level design, code quality, performance tuning, security practices, and technical troubleshooting.

• 3. Cloud & Modernization

• Architect cloud-native solutions across AWS, Azure, and GCP.
• Drive application modernization, migration, cloud transformation, and legacy integration initiatives with a practical delivery-oriented approach.
• Design highly available, scalable, and secure solutions leveraging cloud services and container platforms.

• 4. AI & Innovation

• Design and architect Generative AI and Agentic AI-based enterprise solutions.
• Evaluate and integrate LLMs, AI orchestration frameworks, vector databases, and intelligent automation capabilities.
• Stay current with emerging technologies, assess their practical relevance, and guide responsible adoption across client engagements.
• Develop proof-of-concepts and architecture patterns for AI-enabled business solutions.

• 5. RFP & Pre-Sales Support

• Participate in RFP, RFI, and solution response activities.
• Prepare compelling technical proposals, solution narratives, effort estimates, architecture diagrams, assumptions, risks, and delivery approaches.
• Lead customer workshops, discovery sessions, technical deep dives, executive discussions, and solution demonstrations.
• Collaborate with sales, delivery, and practice teams in winning new business.

• 6. Stakeholder Management

• Engage effectively with clients, senior management, enterprise architects, business stakeholders, delivery leaders, and engineering teams.
• Present architecture recommendations, solution options, trade-offs, risks, and technology strategies clearly to executive and technical audiences.
• Lead, mentor, and coach architects, technical leads, and development teams to improve engineering quality and delivery outcomes.
• Demonstrate sufficient domain understanding to connect technology choices with business outcomes, preferably within Financial Services, banking, capital markets, wealth, payments, or insurance contexts.

Skill Requirements

Required Technical Skills

Core Technologies

• Java/J2EE
• Spring Boot
• Microservices Architecture
• REST APIs
• SOAP/Web Services
• Enterprise Application Architecture
• Design Patterns
• Performance Optimization

Integration Technologies

• Enterprise Application Integration (EAI)
• API Management
• Service-Oriented Architecture (SOA)
• Messaging & Event-Driven Systems
• Kafka, MQ, RabbitMQ (preferred)
• Cloud Platforms
• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
• Kubernetes & Containers
• CI/CD & DevOps Practices

AI Technologies

• Generative AI
• Agentic AI
• LLM-based Solution Architecture
• LangChain / LangGraph
• Prompt Engineering
• Intelligent Process Automation

 

Required Experience

• 20+ years of experience across software engineering, technical leadership, solution architecture, and client-facing delivery roles.
• Proven experience architecting large-scale enterprise applications.
• Strong hands-on expertise in Java/J2EE, Spring Boot, APIs, microservices, integration, troubleshooting, and low-level technical design.
• Extensive experience in enterprise system integration and modernization.
• Demonstrated experience in cloud migration and cloud-native architecture.
• Experience participating in and leading RFP/RFI solution responses.
• Experience designing AI-enabled solutions using Generative AI technologies.
• Strong customer-facing consulting experience with the ability to influence clients, senior stakeholders, delivery teams, and engineering teams.
• Good domain affinity with the ability to articulate business context, industry drivers, functional considerations, and technology relevance within a chosen domain, preferably Financial Services.

 

Qualifications:

• Bachelor’s/master’s degree in engineering

Other Requirements

Preferred Certifications

• AWS Certified Solutions Architect
• Microsoft Azure Architect Expert
• Google Professional Cloud Architect
• TOGAF Certification
• Generative AI / AI Architecture Certifications
• Java Architect Certifications (SCEA or equivalent)

 

Competencies

• Strong solutioning mindset with the ability to convert ambiguity into practical architecture options.
• Ability to operate across high-level enterprise architecture and low-level engineering detail.
• Client handling, senior stakeholder management, and executive communication.
• Technical depth, engineering discipline, and strong problem-solving ability.
• Forward-thinking mindset with curiosity, learning agility, and continuous improvement orientation.
• Architecture governance, design authority, and pragmatic decision-making.
• Team leadership, mentoring, coaching, and capability building.
• Domain articulation, preferably in Financial Services, with the ability to explain how architecture decisions support business capability, regulatory expectations, customer experience, risk management, and operational efficiency.

 

Ideal Candidate Profile

The ideal candidate is a seasoned, hands-on architect who combines solution mindset, technical depth, client maturity, domain affinity, and leadership presence. The individual should be able to engage senior management and clients with confidence, guide enterprise architecture direction, challenge and refine technical decisions, go deep into low-level implementation details when required, and lead teams toward high-quality delivery. The candidate should be able to articulate technology solutions in the context of a chosen business domain, preferably Financial Services, and explain how architecture choices support business capability, regulatory expectations, risk management, customer experience, and operational efficiency. The person must be forward thinking, curious, adaptable, and committed to continuous learning and improvement.