Top Backend Jobs in Bengaluru

Own and scale high-throughput backend systems powering real-time voice AI, LLM features, platform services, and data systems. Design production services in Go or Python, optimize Kubernetes workloads and cloud costs, manage distributed systems and databases, establish observability and reliability practices, mentor engineers, and support enterprise customer requirements.

Build, ship, and operate large-scale distributed systems for multi-cloud networking. Own products from concept through production, develop Java/Spring and Go microservices, design APIs and databases, deploy with Kubernetes, handle on-call support, and resolve customer issues. The role requires strong computer science fundamentals, Linux and security expertise, AI-assisted development practices, and collaboration across distributed teams. Networking experience with BGP, SD-WAN, overlays, or cloud networking is advantageous.

Design, build, and operate scalable backend services and APIs for a cloud-native medical imaging platform. Own distributed systems throughout their lifecycle, including data pipelines, databases, testing, deployment, observability, incident response, security, and compliance. Collaborate with product, frontend, ML, and DevOps teams; contribute to architecture decisions, design reviews, technical standards, and mentoring. The role involves cross-time-zone collaboration across India and the US.

Build and operate scalable Java backend services and APIs supporting AI-powered and traditional product capabilities. Integrate LLMs, agents, and retrieval systems into production applications while improving evaluation, monitoring, observability, CI/CD, security, reliability, and performance. The role requires collaboration with AI Engineers, Product Owners, and Cloud Operations teams in a hybrid Bangalore environment.

Design and develop scalable Node.js backend systems, APIs, database schemas, and AI-powered services. Build RESTful and GraphQL integrations, implement authentication and security controls, optimize MongoDB and SQL databases, troubleshoot production issues, and support real-time streaming and voice systems. Integrate LLMs and agent-based workflows while collaborating cross-functionally, documenting systems, and maintaining reliable production-grade software.

Build and own backend systems for the go-to-market team, including data pipelines, CRM integrations, internal services, signal automation, lead scoring, and AI agents. Design reliable data models and production workflows using Python and SQL, while managing deployment, monitoring, error handling, and maintenance. Collaborate closely with Sales, GTM leadership, and Engineering to deliver systems that reduce manual work and improve pipeline generation.

Design and develop scalable components for Bright's Smart Banking Platform using Django and Python, lead technical direction, manage projects, and mentor team members.

Develop and maintain secure, scalable backend services, microservices, APIs, and internal tools using Java and Spring Boot. Responsibilities include writing testable code, participating in code reviews and technical discussions, debugging production issues, improving platform capabilities, documenting systems, and applying security, scalability, and cloud-development best practices.

Design, develop, and maintain scalable Java backend applications and RESTful APIs. Integrate DevSecOps practices, Zero Trust principles, IAM frameworks, and secure software development throughout the application lifecycle. Collaborate with cross-functional teams to deliver secure full-stack solutions.

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.

Design and implement scalable, resilient backend systems; solve complex engineering problems; collaborate with product managers and engineers on features and architecture; and write high-quality, maintainable, well-documented code. The role requires expertise in Go, Python, PostgreSQL, Kubernetes, and Kafka, along with strong computer science, system design, distributed systems, and scalability experience.

Design, develop, and maintain scalable Python backend services, REST APIs, microservices, and real-time WebSocket integrations. Work with SQL and NoSQL databases, caching systems, and distributed architectures while ensuring performance, reliability, security, and high availability. Collaborate cross-functionally, support production systems, troubleshoot issues, optimize performance, and deliver clean, tested, maintainable code.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.