Top Backend Jobs in Delhi

Build and own scalable backend features for an Endpoint Security product serving millions of endpoints. Responsibilities include system design, coding, testing, deployment, monitoring, production troubleshooting, and collaboration across teams. The role requires strong backend engineering, microservices, distributed systems, cloud, and architectural expertise, with Golang and cybersecurity experience advantageous.

Design, develop, test, and maintain Python backend applications, services, utilities, and data-processing components. Optimize SQL queries and database interactions across Sybase, MariaDB, and other relational databases. Build Unix scripts and batch processes, troubleshoot production issues, manage source control with Git and SVN, collaborate in Agile/Scrum teams, document technical work, and support controlled releases across environments.

Design, build, and maintain scalable Go-based backend services, APIs, and microservices. Lead architectural decisions, system design, reliability, observability, and production ownership for distributed systems. Collaborate with product, design, and frontend teams, deliver projects from inception to launch, and mentor junior engineers. Participate in on-call rotations and improve scalability, technical debt, and service reliability across cloud environments.

Develop and maintain scalable backend web applications using Python and Django. Design APIs, middleware, database schemas, and queries; troubleshoot performance issues; write maintainable code; and collaborate with product, design, frontend, and DevOps teams. The role also supports cloud deployment and may grow into full-stack development.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.

Build and operate scalable backend APIs, microservices, and integration services powering personalization, recommendations, search, and AI-driven consumer experiences. Own features from design through deployment, monitoring, and support. Collaborate with AI/ML and data engineering teams, improve service performance and reliability, contribute to system design and engineering standards, and mentor junior engineers.

Designs, builds, and operates scalable backend services, APIs, microservices, and event-driven systems supporting personalization, recommendations, search, and AI-driven consumer experiences. Partners with AI/ML, data, product, and engineering teams; integrates search and generative AI capabilities; improves performance, reliability, observability, security, and operational excellence. Leads technical delivery, mentors engineers, contributes to architecture reviews, and promotes engineering best practices.

Design, build, and maintain scalable Go-based backend services and RESTful APIs. Drive technical architecture, system reliability, observability, and long-term scalability while collaborating with product, design, and frontend teams. Participate in system design, project delivery, production on-call support, and engineering strategy. Mentor junior engineers and contribute to microservices, distributed systems, cloud deployments, and continuous improvement of healthcare technology platforms.

Develop SAP backend solutions across S/4HANA and SAP BTP environments. Responsibilities include RICEF development, ABAP on HANA, CDS views, AMDP, OData, RAP, integrations using RFCs and BAPIs, debugging, performance optimization, and clean-core, upgrade-safe extensions. Fiori and UI5 knowledge supports OData and user-interface issue diagnosis.

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.

Develop and maintain scalable backend APIs and services, manage AWS infrastructure, automate CI/CD deployments, design databases, implement security and monitoring, and collaborate with frontend, product, and DevOps teams. The role involves Node.js and Python development, RESTful APIs, WebSockets, Docker, Kubernetes, MongoDB, PostgreSQL, and deployment tools such as ArgoCD and Jenkins.

Develop and maintain scalable Python backend services using FastAPI, RESTful APIs, WebSockets, MongoDB, AWS, and Docker. Build real-time features, deploy cloud applications, support CI/CD pipelines, integrate Studio APIs, and collaborate with frontend, product, and AI teams. Ensure application performance, security, scalability, and reliable system architecture.

Leads high-impact backend and financial operations projects involving payments, transactions, middleware, GraphQL schemas, APIs, and data models. Provides staff-level technical leadership, drives architectural decisions, partners cross-functionally with Product and Design, and improves engineering standards such as testing, code review, documentation, and SDLC practices. Works hands-on across project delivery while shaping company-wide engineering culture and technical direction.

Develop and deploy Java and Scala microservices for supply-chain finance, including invoice processing, settlement, funder allocation, and discounting. Build Spark batch and streaming jobs, Kafka event pipelines, and integrations with banks and ERP systems. Create Jasper Reports, maintain Kubernetes deployments, troubleshoot production systems using Elasticsearch and observability tools, and participate in Agile development, code reviews, system design, and automated testing.

Designs, develops, tests, deploys, and maintains scalable Java microservices and distributed systems in cloud environments. The role contributes to architecture and technical strategy, implements monitoring and CI practices, troubleshoots complex issues, and supports software roadmaps. It also documents current and future-state processes, collaborates with cross-functional teams, estimates delivery work, and mentors junior engineers.

Develop, optimize, and maintain highly scalable data pipelines, distributed backend systems, and reliable data services. Build high-performance architectures, integrate third-party data, support internal users, and enforce data governance, security, and compliance. Collaborate globally across India, the US, Singapore, and China while operating systems requiring high availability, low latency, observability, and self-recovery.

Design, implement, review, and validate production-grade Rust backend systems for AI training projects. Responsibilities include API development, persistence, asynchronous processing, concurrency, performance optimization, reliability testing, architecture assessment, debugging, and creating reproducible environments with databases, dependencies, fixtures, and containers. The role requires clear technical documentation, evaluation of failure scenarios and race conditions, and consistent delivery of high-quality implementation artifacts.

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.

Build and scale Python/FastAPI backend services for a multi-tenant SaaS platform. Design APIs for frontends, partners, and AI agents; integrate real-time and batch data systems; develop context APIs, prompt orchestration, and evaluation pipelines; and implement authentication, RBAC, tenant isolation, security, testing, and performance optimizations. Own backend development from design through production while collaborating with product, design, and LLM teams.

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.

Design, build, maintain, and support scalable backend services for custodial and execution accounts across digital asset businesses. Collaborate on system architecture, deliver features, optimize performance and reliability, automate workflows, and own production services end to end, including deployment, monitoring, troubleshooting, and support.

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.

Develop and evaluate backend security coding tasks for AI systems. Responsibilities include implementing backend features, fixing bugs, refactoring code, optimizing performance, identifying and remediating vulnerabilities, conducting security-focused code reviews, and creating deterministic automated tests and verifiers. The role requires strong backend engineering, application security, debugging, testing, algorithms, and software architecture skills. Work is remote, flexible, part-time, and contractor-based.

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 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.