What You'll Do

- Design, build, test, and deploy scalable full stack applications and services.
- Develop modern front-end experiences using frameworks such as React.
- Build backend services, APIs, and microservices using production-grade engineering practices.
- Design and implement REST and/or GraphQL APIs for internal and external consumption.
- Build integrations across applications, data platforms, workflow tools, and enterprise systems.
- Work with relational, cloud, and/or analytical data platforms to support application and reporting needs.
- Optimize application performance, API latency, database queries, and system reliability.
- Participate in technical design discussions and help define scalable architecture patterns.
- Use modern AI-assisted and agentic coding tools to accelerate development, refactoring, testing, documentation, and code review.
- Operate within a controlled SDLC environment, including code reviews, approvals, change management, validation, documentation, and release controls.
- Collaborate with cross-functional stakeholders to translate business needs into technical solutions.
- Support production applications, including troubleshooting, incident response, root cause analysis, and on-call rotation as needed.

Key Skillsets Must-Haves
- Senior-level, hands-on experience building end-to-end full stack applications in production environments.
- Demonstrated experience using agentic coding and AI-assisted development workflows in a professional engineering context.
- Familiarity with frontier LLMs and modern coding tools such as OpenAI/Codex, Claude, Cursor, GitHub Copilot, or similar platforms.
- Ability to use AI coding tools responsibly for code generation, refactoring, test creation, documentation, debugging, and design exploration.
- Strong understanding of prompt engineering, context management, model limitations,



code validation, security review, and human-in-the-loop engineering practices.
- Solid front-end engineering experience with React, modern JavaScript/TypeScript, component-based design, and responsive UI development.
- Strong backend engineering experience with Python, Java, or comparable enterprise-grade languages.
- Experience designing and building APIs, including REST and/or GraphQL.
- Experience building microservices and distributed systems.
- Hands-on experience with containerized and cloud-native platforms, including Docker, Kubernetes, and modern CI/CD pipelines.
- Experience working with cloud platforms; Azure experience preferred.
- Strong database and data modeling experience across relational, analytical, or cloud data platforms;

Snowflake experience preferred.

- Strong understanding of software design patterns, system architecture, scalability, observability, and maintainability.
- Proven performance tuning skills across applications, APIs, databases, and distributed services.
- Comfort operating in a fast-paced, high-expectation environment with production ownership.
- Strong communication skills and ability to collaborate with engineering, product, business, and architecture stakeholders.

Nice-to-Haves
- Experience with event-driven architecture, messaging platforms, or streaming data patterns.
- Experience building AI-enabled applications, agent workflows, or tools that integrate with LLMs.
- Experience with semantic data models, analytics platforms, BI tools, or data product development.
- Experience in financial services, asset management, private markets, trading, risk, operations, or enterprise data environments.
- Familiarity with security, entitlementing, auditability, and compliance requirements in enterprise software.
- Experience modernizing legacy applications or migrating systems to cloud-native architectures.

📌 Senior Full Stack Engineer (Mumbai)
🏢 Crisil
📍 Mumbai