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.
