Top Backend Jobs in Bangalore

Design, build, and support scalable backend services, APIs, and advertising and marketing platform features. Own complex features from architecture through production, make distributed-systems tradeoffs, and collaborate across engineering, product, analytics, and applied science teams. Develop event-driven systems, optimize databases, leverage AI-assisted development tools, and contribute to LLM-powered features. Mentor engineers, lead design reviews, and promote reliable, maintainable software delivery.

Lead design and architecture for major features, set technical direction across systems, collaborate with product and UX, champion engineering best practices, and mentor senior and mid-level engineers.

Own technical direction and hands-on execution for major products, systems, and engineering initiatives. Design scalable systems across backend, frontend, APIs, databases, and infrastructure; write and review code; lead architecture decisions; solve production issues; convert ambiguous problems into technical plans; improve engineering quality; and mentor engineers across teams.

Design, develop, test, document, and maintain scalable Java backend systems supporting AI initiatives. Build microservices, REST APIs, and platform capabilities; troubleshoot distributed-system and production issues; collaborate with product and engineering teams; contribute to architecture and technical processes; and mentor engineers through guidance and code reviews.

Develop and maintain scalable Java backend applications, REST APIs, and microservices. Integrate backend services with frontend systems and third-party platforms, write efficient code, conduct reviews, troubleshoot issues, optimize performance, and implement security measures. Collaborate with QA, product, and frontend teams while participating in Agile ceremonies, testing, documentation, and service improvements.

The Senior Engineering Manager will lead engineering teams to build scalable infrastructure and products for the Databricks platform, ensuring high technical standards and supporting engineers in their development while collaborating with product leadership.

Performs static timing analysis and closure for complex multi-million-gate SoCs from 16nm to 3nm nodes. Responsibilities include developing SDC constraints, pre- and post-layout timing closure, low-power optimization, DFT insertion, CLP and LEC, timing-model maintenance, debugging, and guidance for placement and clock-tree synthesis. The engineer leads implementation activities, drives team members, communicates with project management, and supports first-pass silicon success.

Leads backend engineering strategy, team development, hiring, mentoring, and execution of complex enterprise software projects. Oversees end-to-end development, system reliability, performance, security compliance, architecture, and delivery timelines. Designs future technology strategies, coordinates stakeholders, improves development processes, and contributes technically through system design, reusable component libraries, Angular development, and accessible user experiences.

Lead end-to-end backend project execution, architecture, and technical decisions for highly concurrent, low-latency systems. Build scalable services using Ruby on Rails and Go, optimize PostgreSQL and Redis performance, maintain data consistency across microservices, and improve observability, testing, and CI/CD. Collaborate cross-functionally, mentor engineers, resolve infrastructure bottlenecks, and guide long-term architectural and organizational improvements.

Leads the design and delivery of scalable backend features for a global telco SaaS platform. Provides hands-on technical leadership, translates business requirements into detailed designs, mentors engineering teams, and ensures performance, reliability, security, observability, and compliance. Owns feature delivery, supports production issues, maintains technical documentation, and collaborates with product, architecture, security, and distributed engineering teams.

Build and support scalable backend features, services, reusable libraries, and technology platforms. Own service delivery, reliability, security, scalability, observability, testing, incident resolution, and operational readiness. Develop RESTful microservices, manage cloud-based applications, drive engineering best practices, and provide L3 support. Collaborate with product and business stakeholders while mentoring engineers, removing technical blockers, and ensuring milestones, service-level objectives, and software quality standards are achieved.

Lead architecture and development for high-scale backend systems supporting inventory and promise capabilities. Design microservices and machine learning pipelines, solve complex distributed-systems problems, and ensure performance, scalability, reliability, and resilience. Provide technical leadership across teams, conduct complex code reviews, mentor engineers, and guide architecture direction. The role requires expertise in Java, Kafka, multi-region systems, event-driven architectures, and production systems with strict latency and reliability requirements.

Lead the Common Platform Services team to design and deliver scalable, secure, high-availability platform services and developer tooling. Own technical roadmap, cross-team collaboration, AI-native SDLC transformation, and enterprise web services with deep integrations (Salesforce, AWS, GCP). Mentor and grow senior technical talent.

Lead backend engineering for high-scale distributed systems supporting over 100 million daily active users. Design scalable architectures, optimize APIs for sub-50ms latency, and ensure reliability across microservices, messaging, caching, storage, and cloud infrastructure. Mentor engineers, conduct code reviews, establish engineering best practices, and use AI tools such as GPT and Copilot to accelerate development. The role offers substantial ownership of critical platforms and opportunities to grow toward principal engineer, architect, or CTO roles.

Develop, evaluate, automate, regress, deploy, and support analog EDA tools, flows, and methodologies for IC and SoC design teams. Collaborate with internal stakeholders and EDA vendors such as Cadence and Synopsys across process nodes. Create training materials, support worldwide deployments, and help improve semiconductor performance, power, area, and time-to-market outcomes.

Lead end-to-end architecture and develop scalable backend microservices using Java or Python. Design for high throughput, low latency, and fault tolerance; optimize performance with caching, sharding, load balancing, and concurrency. Define SLOs and SLIs, improve observability, lead incident response and root-cause analysis, and implement preventive engineering practices. Mentor engineers and promote strong development standards across distributed systems and production services.

Develop and maintain backend applications for field team operations. Responsibilities include designing systems and data models, resolving bugs and bottlenecks, writing unit-tested reusable code, integrating internal and external tools, and collaborating with product managers on system design. The role requires Core Java, object-oriented programming, SQL databases, web-service integration, and RESTful APIs, with Git and Spring or Hibernate experience preferred.

The role involves designing, developing, and maintaining software applications, collaborating with teams, writing code and tests, and providing technical support.

Lead a high-performing backend engineering team building scalable financial and payments platforms. Partner with product and business teams to define requirements and delivery roadmaps, promote strong design and code quality practices, hire and mentor engineers, and improve team processes and execution effectiveness.

Design and build scalable backend systems for media and AI content pipelines, including processing, localization, publishing, captions, quality control, and asset management. Provide technical leadership through architecture reviews, production coding, incident response, mentoring, and cross-functional planning. Improve reliability, observability, performance, developer tooling, and platform adoption while integrating AI technologies into healthcare content workflows.

Lead and develop a team of ~8-10 backend engineers to deliver scalable, secure solutions. Own planning through production, drive architecture and system design, mentor engineers, manage cross-functional dependencies, and translate vague business needs into execution plans.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Build and scale Rust backend services for Fortanix’s cybersecurity product. Own features from research and technical design through implementation, testing, deployment, production support, and customer issue resolution. Develop REST APIs, data models, database schemas, cloud and enterprise integrations, and scalable microservices. Diagnose complex application, infrastructure, database, performance, and reliability issues while collaborating with Product and globally distributed Engineering teams.

The role involves leading the design and development of high-performance full-stack features, collaborating with cross-functional teams, and maintaining scalable backend services. Candidates should possess extensive web development experience, particularly in React and Java.

Architect and lead scalable backend systems powering core product experiences. Own service reliability, performance, APIs, data models, monitoring, incident response, refactoring, and technical strategy. Lead cross-functional initiatives, mentor engineers, establish engineering standards, and evaluate AI-powered development and backend integration practices. The role requires distributed-systems expertise, database optimization, event-driven architecture, cloud infrastructure, containerization, and strong AI/ML fluency.