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 up-to-date 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.

Strong 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 (Pune)
🏢 Crisil
📍 Pune