Job description

We’re seeking a future team member for the role of Vice President, Full-Stack Engineer to join our Engineering team. This role is located in Pune

In this role, you’ll make an impact in the following ways:

Lead the end-to-end delivery of scalable full-stack applications across architecture, development, testing, deployment, and production support.
Design and implement enterprise-grade software solutions using modern frameworks, APIs, microservices, and event-driven architectures.
Translate business requirements into robust technical solutions in partnership with product, architecture, design, and engineering stakeholders.
Drive engineering excellence through code reviews, test automation, CI/CD pipelines, secure coding, and software quality best practices.
Ensure platform reliability, performance, observability, security, and operational resilience across applications and services.
Own production stability through monitoring, incident response, root cause analysis, and continuous performance optimization.
Contribute to technical strategy, roadmap planning, and architecture decisions, including build/buy evaluations and solution patterns.
Leverage AI and emerging technologies responsibly to enhance engineering productivity and improve client and employee experiences.

To be successful in this role, we’re seeking the following:

Bachelor's degree in computer science or related field, or equivalent practical experience; advanced degree preferred.
8+ years of software development experience with strong full-stack expertise across backend and frontend technologies.
Deep backend expertise in Java 17+, Spring Boot 3+, with proven experience building microservices and designing/implementing RESTful APIs.
Frontend development experience with Angular 14+, React, and JavaScript, including modern UI patterns, state management, and reusable component design.
Experience using AI-assisted development tools such as Claude Code, Windsurf, Codex, or Devin, including effective prompt writing for code generation, refactoring, and test creation.
Familiarity with MCP servers and emerging agentic frameworks to extend AI capabilities in developer workflows.
Hands-on experience with event-driven architectures and messaging platforms, preferably Kafka.
Strong knowledge of testing and quality engineering, including JUnit, Mockito, Cucumber/Gherkin, unit/integration testing, and experience with TDD and BDD practices.
Proficiency with code quality and security tools such as SonarQube, Veracode, or Fortify.
Strong DevOps and CI/CD experience, including Git/GitLab, CI/CD pipelines, Docker, and modern release strategies such as blue-green and feature-flag deployments.
Familiarity with observability and logging practices, including SLF4J/Log4j, log aggregation, metrics, tracing, and tools such as Splunk.
Experience with MongoDB, Snowflake, or other NoSQL/data platforms, with a solid understanding of data modeling for microservices.
Strong problem-solving, communication, collaboration, and pair programming skills.
Experience working in Agile/Scrum environments with tools such as JIRA, Confluence, and collaboration platforms like Slack.
Experience with workflow and rules engines such as Camunda 7/8 and Drools 7/8.
Knowledge of distributed caching and cloud-native patterns, including Hazelcast 5 and Spring Cloud.
Exposure to agentic/AI integration frameworks such as Spring AI and LangChain4J.
Python experience for scripting, tooling, or AI integrations.
Financial services or securities industry experience.

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