Top Backend Jobs in Delhi

Own the bug and feature queue for internal business tools, prioritizing requests by impact, gathering user feedback, fixing bugs, shipping features with AI coding tools, testing changes, documenting systems, and improving user experience. The role combines product judgment, lightweight technical building, proactive problem-solving, and close collaboration with the COO and CCO.

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Design and develop scalable backend features for Jitterbit’s iPaaS and API management platforms. Own projects from design through deployment in a 24x7 environment, using distributed systems, microservices, cloud infrastructure, databases, messaging, and containerization technologies. Collaborate with engineering, product, and operations teams while mentoring peers and delivering reliable, maintainable software for multi-tenant SaaS applications.

Develop and operate backend systems using Java, Python, AWS, microservices, databases, queues, and event-driven architectures. Responsibilities include designing scalable services, integrating third-party APIs, improving performance and observability, managing production Docker deployments, conducting incident reviews, writing architecture documentation, mentoring engineers, and owning systems through launch, on-call, and ongoing optimization. The role also requires daily use and review of AI-assisted coding tools.

Design and operate fault-tolerant, performance-critical backend infrastructure across AWS and GCP. Build serverless services, REST and WebSocket APIs, secure cloud deployments, and scalable AI workflows including fine-tuning and inference pipelines. Develop custom AI agent and multi-agent frameworks, manage containerized services, follow release processes, and document systems. The role requires strong Python expertise, extensive cloud and Kubernetes experience, infrastructure-as-code knowledge, and familiarity with generative AI and LLMs.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Maintain and enhance scalable backend services for a SaaS platform using Node.js and TypeScript. Responsibilities include API performance optimization, MongoDB and Redis management, asynchronous job workflows, AWS infrastructure monitoring, security implementation, API documentation, testing, CI/CD, and production troubleshooting. The role supports campaign generation, template storage, credit-based billing, and high-traffic APIs.

Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

The job description provides no substantive responsibilities or qualifications beyond a general reference to digital modernization and an instruction placeholder.

Build and scale resilient backend APIs, libraries, and services for digital asset financial products. Own features from design through deployment and customer integration, document functionality, collaborate across engineering teams, and mentor peers through code reviews and best practices. The role requires backend development expertise, database and API design experience, microservices knowledge, testing, on-call participation, and coordination with global stakeholders.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Build, deploy, and maintain enterprise-grade backend software while partnering with the CTO and founding team. Own technical decisions, production reliability, scalability, security, and lifecycle improvements. Troubleshoot complex issues, develop prototypes and technical content, adopt emerging technologies, and collaborate with engineering, design, sales, and other stakeholders. The role requires strong backend, cloud, infrastructure-as-code, distributed systems, API, database, and generative AI experience, with independent execution in an in-person startup environment.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Build and operate AI-native backend services in Python, integrating LLMs, agents, tool calls, vision models, and document intelligence pipelines. Productionize AI prototypes with guardrails, fallbacks, caching, testing, monitoring, observability, and evaluations. Design scalable async and event-driven systems while managing latency and token costs. Own services end to end across distributed systems, databases, cloud infrastructure, and high-volume production workflows.

Design and ship secure, scalable backend services for INR fund flows and retail derivatives trading. Own APIs, order management, margin, risk, liquidation, settlement, market connectivity, reconciliation, and service reliability. Partner with mobile and product teams, lead architecture and code reviews, mentor engineers, and coordinate with global stakeholders.

Develop and maintain high-quality software, collaborate cross-functionally to ship features, identify bottlenecks, fix bugs, and evaluate technologies that improve development efficiency. The role requires independent ownership, strong problem-solving and product thinking, effective communication, and a willingness to exchange constructive feedback in a flat, remote organization.

Designs, develops, tests, deploys, and maintains scalable Java Spring Boot microservices and distributed cloud systems. Contributes to architecture, technical strategy, roadmaps, monitoring, testing, and continuous integration. Troubleshoots complex application issues, collaborates with product and engineering teams, estimates delivery work, and mentors junior engineers. The role also documents current and future-state processes and recommends technical improvements. GCP experience is preferred, including Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery.

Designs, develops, and operates scalable backend services, APIs, data integrations, and microservices. Owns domain architecture, database performance, reliability, observability, incident response, security, testing, and roadmap delivery. Leads design reviews, improves engineering standards, mentors backend engineers, and collaborates with product and global teams. The role requires technical leadership, strong system design, cloud infrastructure experience, and production operation of large-scale consumer applications.

Design, build, and maintain customer integrations connecting Vyn’s platform with enterprise CRM, customer service, field service, asset, and facilities systems. Develop reusable AWS-based connectors and Salesforce ecosystem solutions, collaborate with customer and internal technical teams, monitor production reliability, diagnose failures, and improve testing, architecture, and engineering standards while mentoring teammates.

Build and maintain scalable backend systems for a credit card platform using Node.js, GraphQL, TypeScript, and REST APIs. Design microservices, optimize performance, ensure code quality through testing and automation, collaborate across teams, mentor junior developers, and improve development and operational processes. The role requires cloud-native application experience, with AWS preferred, and familiarity with DevOps, Agile, Kubernetes, and CI/CD practices.

Build and operate Python backend services and APIs supporting visa applications, payments, document processing, order tracking, and AI workflows. Design resilient integrations with government portals, embassies, payment providers, and partners. Develop scalable data models, queues, caching, and asynchronous systems while owning deployment, monitoring, alerting, testing, security, and incident follow-up.

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Lead enterprise backend architecture for scalable, distributed, cloud-native applications using Java, Spring Boot, and microservices. Define architecture standards, service boundaries, integration patterns, HLD/LLD designs, and cloud deployment strategies. Drive modernization, observability, CI/CD, security, performance, and resiliency initiatives across engineering teams. Provide technical leadership, conduct architecture and code reviews, mentor developers, and collaborate with stakeholders on technology roadmaps and enterprise solutions.