Top Backend Jobs in Bengaluru

Backend developer for SAP S/4HANA transformation tooling. Build APIs, databases, and test automation using Java and SAP CAPM. Work with SAP Cloud ALM and collaborate across teams to validate backlog, realize features, identify risks, and deliver AI-driven test case and data generation capabilities according to specifications and standards.

Build and maintain scalable, low-latency backend systems for real-time AI and voice workflows. Responsibilities include developing microservices, APIs, streaming systems, concurrent and fault-tolerant code, observability, testing, deployment, and monitoring. The role integrates WebRTC and telephony protocols, Voice AI, LLMs, vector databases, and agent frameworks while collaborating with product, AI, and ML teams on multi-agent orchestration and automation.

Design, build, and ship core full-stack/backend features for an early-stage identity platform. Contribute to system architecture, participate in code/design reviews, collaborate with cross-functional teammates, and stay current with cloud-native technologies to deliver high-quality solutions.

Backend Software Development Engineer Intern supporting the design, development, maintenance, debugging, and documentation of scalable cybersecurity product systems. The role involves writing code in Node.js or Go, collaborating with frontend, data science, and product teams, participating in code reviews, and improving development practices. Candidates should understand backend development, web technologies, APIs, databases, and SQL, with cloud, containerization, DevOps, and distributed systems knowledge preferred.

Designs, develops, and maintains scalable backend systems, RESTful APIs, microservices, databases, and server-side services for a fintech platform. Responsibilities include writing efficient code, collaborating with product and frontend teams, troubleshooting production issues, monitoring performance, participating in code reviews, and ensuring security, reliability, and scalability.

Design, build, and maintain backend systems for a real-time Speech AI tutor. Architect distributed systems, own data pipelines from ingestion to model serving, ensure security/privacy, implement monitoring and alerting, and optimize performance and scalability for high-availability production traffic.

Backend-focused software engineer responsible for designing and operating APIs, services, data models, asynchronous workflows, and production reliability. The role includes debugging incidents, making architecture decisions, partnering with product and design, and contributing scoped Flutter or web changes. The engineer will review code, mentor junior developers, use AI tools responsibly, and lead features through rollout and measurement.

Build and operate production backend systems for AI-powered clinical products, including streaming audio, ASR, LLM document generation, agent orchestration, reliability, observability, evaluation, and scalable distributed services. Own systems from design through deployment and on-call, using Python, FastAPI, AWS, Kubernetes, Redis, and PostgreSQL while collaborating with product, clinical, and mobile teams.

Design and build scalable backend systems for video-on-demand content ingest, transcoding, adaptive bitrate packaging, storage, and delivery. Own features end to end, contribute to architecture, optimize processing workflows, integrate platform services, and maintain production reliability through monitoring, on-call support, and incident response. The role also involves code reviews, engineering best practices, cross-functional collaboration, and mentoring junior engineers.

Build APIs and microservices for a large hyperlocal platform, work with real-time data and databases, optimize queries and performance, and collaborate with product and engineering teams to ship features. The intern will gain experience with infrastructure, distributed systems, and backend scalability while taking ownership of code and developing practical software engineering skills.

Owns the architecture, integration, automation, qualification, release, and production support of CAD back-end flows for custom design, physical implementation, signoff, verification, and tapeout. Integrates major EDA tools, PDKs, libraries, and technology files; builds regression infrastructure, dashboards, and reproducible release processes. Develops AI-assisted and agentic workflows for orchestration, monitoring, failure analysis, and QoR optimization while mentoring engineers and supporting advanced-node semiconductor programs.

Own backend systems end to end by designing, building, scaling, and deploying reliable services and APIs. Improve performance, security, maintainability, and data integrity; diagnose bottlenecks; conduct rigorous code reviews; and establish engineering best practices. Collaborate with product, design, and frontend teams to translate requirements into scalable solutions. Independently lead complex features, contribute to technical planning, and mentor junior engineers.

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.

Build and ship scalable backend systems using AWS serverless architectures. Contribute to system design discussions, develop backend and AI feature integrations, create proofs of concept, support real-time inference, and debug production issues. Collaborate closely with experienced engineers on an AI-native platform while gaining practical experience in distributed systems, data pipelines, and resilient software architecture.

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.

Six-month backend engineering internship involving Python and Django application development, RESTful API creation, relational and non-relational database work, monitoring, testing, troubleshooting, performance optimization, and collaboration with engineering teams. The role is office-based in Bangalore five days per week, with potential for an internship extension or full-time offer based on performance.

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.

Software Engineering Intern working on backend features and services for production systems. Responsibilities include writing clean, testable code, debugging complex issues, understanding existing codebases, and learning new tools and infrastructure. The role offers mentorship, exposure to cloud and backend technologies, and opportunities to develop system design and engineering skills.

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 maintain scalable backend services in Python and Go. Design distributed systems for performance, reliability, and scale; develop APIs, microservices, and cloud-native applications; collaborate with ML, infrastructure, and frontend teams; participate in code reviews and architectural planning; and solve complex systems problems.

Own and develop production payment orchestration services covering payment flows, routing, recovery, partner connectors, tokenization, webhooks, and reconciliation. Ensure correctness, reliability, security, and observability in distributed systems. Participate in on-call, incident management, CI/CD, AWS infrastructure improvements, technical design, code reviews, mentoring, and cross-functional delivery. The role involves modernizing Java and Spring Boot services while supporting enterprise payment integrations.

Lead the backend engineering team in architecting, building, and scaling distributed systems for high-volume credit and payments infrastructure. Responsibilities include making architecture decisions, leading complex cross-service projects, conducting design and code reviews, mentoring engineers, optimizing performance and reliability, and owning production operations. The role requires strong Java expertise, microservices and system-design experience, technical leadership, and the ability to build highly reliable systems handling millions of transactions.

Build and own backend services, APIs, data models, and algorithmic or AI-driven business logic using Python and Django. Responsibilities include designing relational schemas, implementing RESTful endpoints, optimizing queries and performance, applying caching, translating product ideas into technical designs, and contributing to engineering patterns within a distributed startup team.

Lead ONDC integration by designing and implementing backend services and APIs. Ensure compliance with ONDC/Beckn standards, handle data modeling, performance tuning, API security, and transaction flows. Integrate logistics, payments, and catalog systems, write tests, conduct code reviews, and maintain high availability for ONDC services.