Top Backend Jobs in Bangalore

Build and operate telemetry, detection, and reconciliation tooling for monetization systems. Implement automated billing anomaly detection, define SLOs/SLIs, write runbooks, handle incidents, and apply AI/ML techniques for proactive anomaly prediction. Collaborate with Product, Finance, and Support and review merge requests to maintain reliability for revenue-critical systems.

Design, build, and maintain integrations between Monetization services (CustomersDot) and enterprise apps (Salesforce, Workato, Zuora). Define REST/GraphQL API contracts, ensure data integrity across financial/subscription systems, build observable fault-tolerant workflows, review code, collaborate with Product/Finance/IT/Sales/Support, and own projects through rollout and monitoring.

Lead backend development of trade structuring tools: design and write high-quality Python services, apply SOLID/TDD practices, govern AI-assisted engineering workflows, build/debug distributed, event-driven systems on AWS, deliver full lifecycle projects, and support and evangelize platform use across teams.

Lead backend engineering for cloud-native, microservices-based banking systems. Design, build, test, secure, and operate resilient services; drive performance, zero-downtime releases, incident response, domain modeling, and team coaching. Promote enterprise-authorized AI-assisted engineering practices and automation across the software development lifecycle.

Lead design and implement resilient, production-ready Java/Spring backend services for payments (ACH, wires, instant). Drive architecture, code quality, operational stability, observability, testing strategies, and adoption of AI-assisted engineering practices while collaborating across teams and vendors.

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.

Design, develop, and lead major features for a multi-petabyte, low-latency distributed ingestion platform. Mentor engineers, drive operational excellence, troubleshoot production incidents, collaborate across teams on architecture and documentation, and help scale systems to support massive daily data ingestion.

As a Senior Backend Engineer, you will design backend features for supply chain security, implement policies, and manage integrations, focusing on security and performance in a collaborative environment.

The Staff Backend Engineer will lead the architecture and development of backend systems for enhancing GitLab's Software Supply Chain Security, focusing on security, performance, and compliance.

Design and develop scalable backend services, collaborate with DevOps for cloud solutions, manage databases, optimize performance, and provide technical leadership.

Join the Falcon Exposure Management team to design, build, and optimize cloud-native solutions for Cyber Asset Attack Surface Management, focusing on scalable architecture, APIs, and integration frameworks.

Build and maintain deployment tooling for self-managed GitLab: evolve Omnibus, Helm Charts, GET, and the GitLab Operator; improve installation, upgrade, security, observability, CI/CD pipelines, and operational workflows; partner with SRE, Security, and Release teams; mentor engineers and guide architecture for scalable, reliable deployments.

Work on a complex data pipeline for digital employee experience management, requiring strong backend development and knowledge of various technologies.

The Senior Backend Engineer will design and develop a distributed systems CRM platform, focusing on high-performance mobile communication services and marketing automation solutions, while ensuring quality through rigorous reviews and unit tests.

Lead technical execution on GitLab's CD platform, solving complex engineering problems, mentoring engineers, and ensuring system quality and scalability.

Build and own backend data pipeline components that collect, integrate, and enrich endpoint data at scale. Implement microservices, event-driven architectures, and high-throughput Kafka-based pipelines. Collaborate with product and endpoint teams, ensure CI/CD, automated testing, observability, and operational best practices on AWS.

Design, implement, deliver and validate backend product features for a visual query platform. Improve architecture and development practices, handle L3 support, contribute to roadmap, and work in an agile team.

The role involves designing and developing software applications, collaborating with teams, testing and debugging software, and providing technical support. Responsibilities include writing clean code and maintaining documentation.

Design, build, and operate Go-based backend services for GitLab's Data Insights Platform and Siphon. Implement scalable ingestion, replication, storage, and query-serving (ClickHouse), integrate gRPC with the Rails app, ensure production readiness across SaaS/Dedicated/Self-Managed environments, debug distributed systems, and collaborate across teams to maintain reliability and observability.

Build and maintain a unified analytics data collection platform (Golang, Kubernetes, ClickHouse, NATS). Improve event emission, transit, and data quality, support billing instrumentation, handle incidents, and collaborate cross-functionally to drive adoption and reliable downstream data.

Lead backend engineering for CrowdStrike's authentication and authorization systems, developing cloud-based solutions and collaborating across teams to enhance scalability and performance.

Responsible for designing and developing backend services for Zeta's CRM platform, focusing on scalability and performance while leading the engineering team.

Develop and maintain server-side applications for a distributed CRM platform. Collaborate with teams to enhance product features and ensure high-quality code through reviews and testing.

The Principal Engineer will develop systems and software, mentor other engineers, resolve customer issues, and guide the software development process.

Design and implement scalable backend services, lead full software lifecycle, write design docs, mentor engineers, collaborate cross-functionally, improve performance and quality, and integrate AI tools to boost development productivity.