Senior Backend API Engineers

Overview

Design, build and operate enterprise-grade APIs, integration services and backend platforms that power digital products, data products, AI applications and business workflows. Primarily a software engineering role (80%) with a data engineering component (20%).

What you'll do

• Design, develop and maintain scalable GraphQL and REST APIs.
• Build cloud-native microservices using TypeScript and modern backend frameworks.
• Develop reusable backend services supporting digital, AI, analytics and data-product initiatives.
• Design and implement API contracts, versioning strategies and service integrations.
• Build MCP servers consumable by AI Agents.
• Build secure APIs using OAuth2, JWT, OpenID Connect and enterprise security standards.
• Develop event-driven and asynchronous processing solutions.
• Create reusable SDKs, libraries and developer enablement tools.
• Implement observability, logging, monitoring and alerting using Splunk, PagerDuty and Honeycomb with OpenTelemetry.
• Optimize service performance, scalability, reliability and resiliency.
• Collaborate with product owners, architects and engineering teams to define enterprise integration patterns.
• Use Claude Code and similar AI coding tools to accelerate development, testing, documentation and code quality.
• Participate in architecture reviews, code reviews and engineering standards development.
• Support CI/CD automation, Infrastructure as Code and DevSecOps practices.
• Develop API layers that expose trusted enterprise data products.
• Integrate backend services with Databricks, AWS Redshift and other cloud data platforms.
• Support data-pipeline development and data-movement patterns.
• Partner with data engineers to enable real-time and batch data access.
• Contribute to logical and physical data modeling.
• Support AWS Glue-based ingestion and transformation workflows.
• Help establish standards for data quality, metadata and governance integration.

What you'll need

• Minimum 8 years of relevant work experience, with at least 4 years in designing and maintaining data pipelines, ETL processes and database architectures.
• Bachelor's degree (B.E./B.Tech) in Computer Science or IT, or Bachelor's in Data Science, Statistics or a related field.
• TypeScript: advanced hands-on proficiency.
• GraphQL API design and development.
• REST API design and development.
• MCP Server design and development.
• Node.js and modern backend frameworks.
• Microservices architecture.
• API gateway technologies.
• OAuth2, OpenID Connect and JWT authentication.
• CI/CD and DevOps practices.
• Git and modern source-control workflows.
• Claude Code.
• Splunk monitoring, logging and observability.
• Event-driven architecture and messaging systems.
• AWS cloud services.
• Infrastructure as Code.
• Automated testing frameworks and quality-engineering practices.

Nice to have

• Infrastructure as Code with Terraform (preferred).
• AWS, data-pipeline development, data modeling, Databricks, AWS Redshift, AWS Glue, Apache Spark, data quality and governance, and real-time and batch data processing (desired data engineering skills).
• Building enterprise-scale API platforms.
• Developing backend services that support AI and machine-learning solutions.
• Enabling agentic AI and AI-assisted development workflows.
• Working in highly regulated enterprise environments.
• Supporting mission-critical, high-volume production systems.
• Building platforms that serve multiple engineering teams through reusable APIs and shared services.

Details

• Based in Hyderabad, Telangana at Vanguard India.
• Hybrid working model for most employees.
• Only qualified external applicants will be considered.