Top Backend Jobs in Bangalore

Leads multiple backend, cloud, and observability engineering teams within a financial institution. Responsibilities include coaching engineers, setting team standards, managing technology projects, coordinating dependencies, ensuring compliance, and improving delivery through responsible AI-assisted development and SDLC automation. The role requires cloud-native experience, software development lifecycle expertise, agile practices, application resiliency, security knowledge, and financial services technology experience. Preferred skills include Python, data platforms, databases, AI/ML, frontend technologies, and observability tools.

Leads backend software engineering for secure, scalable, and resilient applications within an agile Asset and Wealth Management team. Designs microservices and cloud-native solutions, writes and reviews production code, resolves technical issues, and supports zero-downtime releases. Establishes AI-assisted engineering governance, automation, testing, and secure development practices. Provides technical guidance, serves as a subject matter expert, influences architecture and operations, and mentors teams while advancing software development lifecycle standards.

Design and build scalable backend platforms, APIs, event infrastructure, and developer integration frameworks. Establish architectural and engineering best practices, improve testing and monitoring, review designs and code, mentor engineers, and ensure reliable production delivery. The role requires expertise in Java or Kotlin, AWS, microservices, distributed systems, messaging, databases, and platform API design.

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.

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.

Lead backend software engineering initiatives from technical design through launch. Solve complex architecture and reliability challenges, deliver shared solutions for engineering teams, establish code review and documentation standards, manage high-risk fixes, influence company-wide initiatives, mentor engineers, and make customer-focused technical decisions across cloud and developer productivity environments.

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.

Owns the design, reliability, and operation of Java backend services supporting checkout, identity, commerce, payments, settlement, and payouts. Leads distributed-system design, migrations, incident response, observability, SLOs, and cross-team technical initiatives. Mentors engineers, reviews designs and code, coordinates knowledge transfer with Sweden, and partners with product, Finance, security, compliance, SRE, and platform teams.

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.

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.

Develop and enhance large-scale backend services for PayPal’s Unified Notification Platform. Responsibilities include building Java and Spring microservices, designing scalable and reliable systems, developing data pipelines, troubleshooting issues, participating in architecture and design discussions, and collaborating with cross-functional stakeholders. The role requires expertise in algorithms, object-oriented design, REST services, SQL and NoSQL databases, distributed stream processing, and performance optimization.

Design, develop, and scale distributed, event-driven software for the Workspace ONE Unified Endpoint Management platform. Build server-side services using C# and .NET, work with databases and messaging systems, and collaborate across teams on architecture and code. Identify scalability, usability, security, and supportability gaps, implement solutions, and deliver high-quality automated tests for enterprise-scale deployments.

Leads architecture and hands-on development of scalable, secure ThreatQ platform capabilities. Designs distributed, data-intensive systems for threat intelligence ingestion, enrichment, search, and analysis; improves reliability, observability, and operational readiness; and guides cloud, on-premises, event-driven, and API-based integrations. Provides technical leadership through design reviews, mentoring, and cross-functional collaboration. Integrates AI agents and intelligent services into enterprise products while promoting effective AI development tools, prompt engineering, and production evaluation practices.

Design, build, deploy, and operate scalable backend services and APIs. Responsibilities include distributed-systems design, performance optimization, reliability improvements, testing, production operations, code reviews, and cross-functional collaboration. The role requires end-to-end ownership, strong data structures and algorithms knowledge, cloud experience, database expertise, and practical understanding of integrating AI and LLM capabilities into backend systems.

Build and operate scalable, resilient backend services and APIs for high-volume consumer platforms. Responsibilities include system design, coding, testing, deployment, production operations, performance optimization, distributed systems development, reliability improvements, and cross-functional collaboration. The role requires independent ownership of backend problem areas, strong data structures and algorithms knowledge, cloud experience, database expertise, and practical understanding of integrating AI and large language models into software systems.

Design and build scalable backend and data systems supporting Uber’s global marketplace. Lead high-impact engineering projects, develop frameworks, resolve architecture and reliability challenges, oversee incident management and on-call processes, collaborate with Product, Science, and Operations, and mentor engineers. The role emphasizes low latency, high correctness, distributed systems, real-time streaming, data warehousing, and large-scale technical leadership.

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.

Leads the data platform team’s technical roadmap, mentors engineers through code reviews and knowledge sharing, develops and fixes backend features, designs systems, and monitors production operations. Requires extensive hands-on Java experience, strong Linux and PostgreSQL expertise, and knowledge of SQL. Kubernetes, Google Cloud Platform, BigQuery, Apache Flink, and data platform experience are preferred.

Lead backend product engineering teams building core product surfaces for legal professionals. Set multi-quarter technical strategy, collaborate with Design/Product/AI, evolve AI-powered architecture, hire and grow engineers, contribute to code and architecture reviews, anticipate scaling bottlenecks, and build RAG pipelines while managing the data lifecycle to ship high-impact features.

Develop and deploy scalable backend product features for an AI-powered K-12 education platform. Responsibilities include learning the backend architecture, building services with Node.js, Express, GraphQL, and PostgreSQL, optimizing queries, creating analytics and migration scripts, participating in code reviews, and owning backend modules end to end. The role involves collaboration with engineering, product, QA, support, designers, and educators, with opportunities to contribute to infrastructure and backend services.

Design and scale fault-tolerant core infrastructure for Harvey’s global legal AI platform. Responsibilities include multi-cloud Azure and GCP infrastructure, Kubernetes, networking, observability, incident response, distributed systems, rate limiting, quota management, failover, infrastructure as code, CI/CD, and security. The role also involves mentoring engineers, leading technical initiatives, and improving reliability, scalability, and operational excellence across multi-region deployments.

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 robust, scalable backend systems using Java, Spring Boot, and microservices. Responsibilities include designing scalable architectures, working with databases and messaging systems, deploying on AWS, tuning API and storage performance, and solving complex technical problems. Experience with generative AI, agentic AI, or AI-powered development tools is advantageous.