Top Backend Jobs in Bangalore

Build and ship scalable backend features and RESTful microservices in a distributed cloud environment. Responsibilities include code review, testing, documentation, monitoring, error reporting, reliability and performance improvements, Agile participation, and mentoring teammates. The role requires experience with backend application development, object-oriented programming, databases, public cloud platforms, and cloud architecture patterns.

Own physical-aware synthesis flows and constraint development for high-performance, low-power ASIC and SoC designs. Drive floorplan-based netlist optimization, QoR closure, static timing analysis, formal equivalence checks, and tape-out readiness. Collaborate with RTL, place-and-route, DFT, and design teams on timing, congestion, power, and area optimization. Develop SDC constraints, manage technology library inputs, support MMMC timing closure, and provide RTL guidance for improved synthesizability.

Staff backend engineer responsible for architecting, developing, scaling, deploying, and operating distributed services and APIs. The role emphasizes Kubernetes, cloud infrastructure, reliability, performance, incident response, root-cause analysis, and production support. The engineer will lead technical initiatives, make architectural decisions, troubleshoot complex systems, and apply AI-assisted engineering workflows to improve development velocity and operational efficiency.

Design, build, test, and operate cloud-native back-end microservices (Java) for banking products. Ensure secure, scalable, reliable systems, zero-downtime releases, performance optimization, incident management, and responsible use of enterprise AI-assisted development tools.

Build, test, ship, and operate production backend features using Ruby/Rails, Go, or other modern languages. Design APIs, background jobs, integrations, data models, migrations, and services while ensuring security, performance, maintainability, and observability. Review code, improve automated testing, investigate deployment and runtime failures, address technical debt, participate in operational support, collaborate asynchronously with cross-functional partners, and use AI coding tools responsibly.

Provides technical leadership across teams by designing and delivering large backend initiatives, modernizing monolithic systems into modular architectures, and establishing standards for APIs, data, testing, security, observability, deployment, and reliability. Leads production operations, incident response, AI-assisted engineering adoption, technical roadmap decisions, mentorship, and technical debt reduction. The role emphasizes scalable backend platforms, cross-team influence, and architecture strategy.

Design, implement, and evolve complex backend capabilities; drive architecture and technical direction; improve reliability, performance, and operational readiness; mentor engineers; participate in incident response; and integrate agentic AI into production engineering workflows to boost productivity and resilience.

Build and improve backend applications and distributed systems, leading complex projects from technical design through launch. Responsibilities include solving architecture challenges, establishing standards, reviewing code, documenting systems, fixing high-risk bugs, collaborating across engineering teams, mentoring junior engineers, and transitioning expertise to Java development while considering scalability, performance, robustness, and customer impact.

Own the technical architecture for backend systems, lead the design of scalable distributed platforms and microservices, establish reliability and security standards, mentor engineers, and proactively mitigate technical risks. The role requires extensive experience architecting large-scale systems with Go, Java, or comparable languages; expertise in distributed systems, API design, cloud platforms, relational databases, and technical decision-making.

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.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Build and own backend components for high-volume endpoint data pipelines, from requirements and design through deployment. Develop Java microservices and event-driven distributed systems using Kafka, Kafka Streams, Spring Boot or Micronaut, SQL, and AWS. Apply concurrency, automated testing, observability, CI/CD, and DevOps practices while collaborating with Endpoint and Product teams to deliver scalable cloud-platform features.

Develops, tests, troubleshoots, and maintains secure, scalable software within an agile Asset and Wealth Management team. Writes Python or Java code, works with databases and large datasets, supports application resiliency and security, and participates across the software development lifecycle. Uses enterprise-authorized AI-assisted development tools responsibly for coding, testing, troubleshooting, and documentation. Preferred experience includes high-performance Python, Redis, Kafka, specialized time-series databases, and AWS.

As a full-stack engineer, you will build high-quality software, integrate AI into workflows, and maintain system context while ensuring code security and performance.

Develop scalable backend cloud applications and distributed systems using modern software engineering practices. Responsibilities include technical design, coding, debugging, testing, troubleshooting, system optimization, secure development, feature ownership, and technical collaboration. The engineer will apply data structures, algorithms, cloud architecture, AI coding assistants, and agile development practices while contributing to product adoption and coaching others.

The Lead Software Engineer at Salesforce is responsible for developing scalable components, writing production-ready code, mentoring junior engineers, and managing the software development lifecycle in a multi-tenant SaaS cloud environment.

Design, build, deploy, and operate secure, highly available backend services and distributed systems for Microsoft's cloud identity and privileged access platform. Responsibilities include gathering customer requirements, making architecture and design decisions, writing and reviewing reliable code, collaborating across global engineering teams, mentoring engineers, implementing safe deployments, monitoring services, and applying AI to software development.

Design, develop, and maintain scalable backend services, RESTful APIs, and microservices using Node.js, Fastify, TypeScript, JavaScript, and Python. Collaborate with frontend, QA, and product teams; manage databases and messaging systems; implement automated testing; optimize performance; troubleshoot production issues; and contribute to code reviews, DevOps practices, CI/CD pipelines, and cloud deployments.

Develop and maintain secure, scalable, high-performance backend applications using Node.js and JavaScript. Responsibilities include analyzing requirements, designing and implementing testable code, writing unit and high-level tests, integrating backend services with frontend elements, participating in Agile planning and estimation, managing code with Git-based repositories, collaborating with frontend developers, and improving development processes.

Build and operate scalable payment infrastructure using Java and complementary technologies. Implement payment features, refactor legacy services, modernize APIs, improve testing and CI/CD, and resolve production incidents. Design internal APIs, payment flows, documentation, and runbooks while collaborating with product and engineering teams. The role requires expertise in distributed systems, microservices, event-driven processing, databases, payment domains, and asynchronous delivery within an Agile environment.

Design, build, and operate backend infrastructure for Databricks at scale. Develop cloud-agnostic systems, service platforms, and tooling to improve developer efficiency across languages and regions. Contribute across design, implementation, and operations for distributed, SaaS-oriented services.

Lead and grow a backend engineering team building scalable, cloud-agnostic infrastructure and services for big data and ML workloads. Hire engineers, enforce technical standards, partner with product and customers, define roadmap, and coordinate cross-team execution to deliver reliable, monitored, and tested systems at scale.

Lead a Java backend development team, design and build scalable high-performance systems, make technical decisions, mentor engineers, collaborate with frontend, QA, and DevOps teams, and maintain code quality and technical debt. The role requires Java, Spring, microservices, cloud platform familiarity, and strong communication skills. Bonus experience includes reactive programming, DevOps tools, event-driven architecture, and messaging systems.

Design, develop, and maintain scalable cloud-native backend services using TypeScript, Node.js, Python, and AWS serverless technologies. Build GraphQL and REST APIs, implement identity and security solutions, manage infrastructure as code, automate CI/CD, and improve monitoring, reliability, and performance. Collaborate with frontend teams, participate in architecture and code reviews, provide production support, and mentor junior developers.

Architects and develops scalable, secure backend services for cybersecurity products. Designs REST and GraphQL APIs, microservices, database solutions, and cloud applications while optimizing performance and reliability. Collaborates with frontend, security, and DevOps teams; implements authentication and authorization; mentors developers; and improves engineering practices. Requires extensive backend experience and proficiency with modern programming languages, AWS, databases, messaging systems, containerization, and AI-native development tools.