Sr. Java Technical Architect/Project Lead_Trivandrum

Thiruvananthapuram, Kerala
Permanent
Full-time

6 days ago
Apply easily

Technical Architect / Project Lead - Java/J2EEPosition OverviewWe are seeking an experienced Java Technical Architect / Project Lead to join our engineering team supporting a large-scale FinTech platform. This is a dual role combining technical architecture ownership with project leadership responsibilities.You will be the technical authority for the team while also being hands-on with individual development tasks. This role is ideal for someone who thrives in both strategic architecture discussions and tactical implementation work - not just overseeing from a distance, but actively contributing to the codebase while guiding the team.Required QualificationsExperience

12+ years of software engineering experience with progressive responsibility
4+ years in a Technical Lead, Architect, or Engineering Manager role
Proven experience leading offshore/distributed engineering teams
Track record of delivering large-scale enterprise applications
Experience in FinTech, payments, or e-commerce domains preferred
Background working with US-based enterprise clients

Technical SkillsCategoryRequirementsBackendJava 11+, Spring Boot, Microservices architecture, REST APIs, JPA/HibernateFrontendAngular (modern versions), TypeScript; React experience a plusDatabasesMSSQL, MySQL, MongoDB; query optimization; schema designSearch & MessagingSearch engines (Solr/Elasticsearch); Message queues (ActiveMQ, Kafka, or similar)Data ProcessingETL pipelines; batch processing; job scheduling frameworksCloud & InfrastructureGCP or AWS; Kubernetes; containerization; CI/CD pipelinesDevOps & ToolsAzure DevOps; Terraform or similar IaC; JIRA; ConfluenceSecuritySSO/OAuth/SAML; Identity providers (Okta or similar); PCI-DSS complianceArchitectureDistributed systems design; API design; system integration patternsLeadership Skills

Experience managing teams of 10-15 engineers
Ability to balance hands-on work with leadership responsibilities
Strong written and verbal communication in English
Experience with Agile/Scrum methodologies
Track record of mentoring and developing engineers

AI & Productivity Skills

Active user of AI-assisted development tools (Claude, Copilot, Cursor, or similar)
Demonstrated ability to leverage AI for code generation, documentation, and problem-solving
Experience introducing AI tools and practices to engineering teams
Understanding of when AI assistance is appropriate and its limitations

Preferred Qualifications

Experience with legacy system modernization and migration projects
Knowledge of loyalty programs, rewards, or payment processing systems
Familiarity with AngularJS (legacy) codebases
Experience with BigQuery or similar data warehousing solutions
Understanding of PCI-DSS compliance requirements

Platform ContextYou will be working on a complex enterprise platform with:

Multiple interconnected systems and services
Mix of legacy and modern technology stacks
High availability and zero-downtime deployment requirements
Enterprise integrations with major financial and retail brands
Significant transaction volumes requiring performance optimization

AI-Driven Engineering ExcellenceA critical aspect of this role is championing AI-assisted development across the team.Maximize AI Adoption

Leverage AI tools (Claude, Copilot, Cursor, etc.) extensively in your own workflow as a model for the team
Identify high-impact opportunities where AI can accelerate development, improve quality, and reduce toil
Stay current with the latest AI tools, techniques, and best practices adopted by cutting-edge engineering teams
Evaluate and introduce new AI capabilities as they emerge

Guide Team AI Practices

Train and mentor team members on effective AI usage for their specific roles
Develop guidelines, prompts, and playbooks for common tasks:

Documentation: System docs, API specs, runbooks, and knowledge base articles
Implementation: Feature development, bug fixes, refactoring, and code generation
Code Reviews: AI-assisted review workflows that catch issues early
Testing: Test case generation, test data creation, and coverage analysis
Processes: Sprint planning, ticket refinement, incident analysis, and retrospectives

Build AI Infrastructure

Develop harnesses, templates, and tooling that make AI adoption frictionless for the team
Create project-specific context and documentation that maximizes AI effectiveness
Establish feedback loops to continuously improve AI-assisted workflows
Build reusable prompts and patterns for recurring engineering tasks

Evolve Processes Continuously

Regularly assess and update team processes to incorporate AI advancements
Measure productivity gains and identify areas for further optimization
Share learnings and best practices across the organization
Drive a culture of experimentation and continuous improvement

Balance Automation with Judgement

Establish appropriate human review checkpoints for AI-generated outputs
Define clear boundaries for when AI assistance is appropriate vs. when human expertise is required
Ensure AI usage aligns with security, compliance, and quality standards
Maintain team skills and understanding - AI augments, not replaces, engineering expertise

The goal is to maximize productivity, increase development velocity, and minimize errors - while maintaining the human oversight and judgement essential for enterprise-quality software.Soft Skills

Technical Communication: Explain complex concepts clearly to both technical and non-technical audiences
Decision Making: Make sound technical decisions with incomplete information
Ownership: Take end-to-end accountability for team deliverables
Adaptability: Navigate ambiguity in a fast-paced enterprise environment
Collaboration: Work effectively across time zones and organizational boundaries
Continuous Learning: Stay current with emerging technologies and practices

About the EngagementThis position is with DeviceDriven, a technology consulting firm partnering with a leading US-based FinTech company. The platform serves major financial institutions and enterprise clients with mission-critical services.We offer:

Long-term engagement with growth opportunities
Exposure to enterprise-scale technical challenges
Collaboration with experienced US engineering teams
Opportunity to shape technical direction and team culture

Application ProcessInterested candidates should provide: * Updated resume highlighting relevant experience

Brief summary of your largest technical leadership engagement
Examples of architectural decisions you’ve driven
Current and expected compensation

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