Top Software Engineer Jobs in Bengaluru

Build and scale high-performance backend services for a real-time threat intelligence platform. Develop low-latency streaming architectures, optimize OpenSearch or Elasticsearch indexing, manage AWS/EKS deployments, and translate broad goals into technical specifications and maintainable code. Collaborate with teammates to identify architectural gaps and improve systems. The role requires production backend experience with Python or Golang, Kafka or Kinesis, search platforms, Kubernetes, AWS, and PostgreSQL.

Develop, test, maintain, and support scalable enterprise web applications using .NET, C#, ASP.NET, React, and related technologies. Responsibilities include complex module development, code reviews, technical design, debugging, root cause analysis, documentation, change management, project estimation, milestone planning, and production deployment support. The role also ensures adherence to coding, design, quality, security, and version-control standards.

The Software Engineer will participate in software engineering tasks, collaborate on core systems, and support customer development projects in a startup environment.

Design, develop, maintain, troubleshoot, and upgrade software applications. Collaborate with cross-functional teams to deliver new features, write clean and scalable code, participate in code reviews, share knowledge, and stay current with software development trends and technologies.

Build and operate secure, scalable backend services and data ingestion pipelines. Own features from design through production, develop third-party API integrations, improve data freshness and reliability, troubleshoot distributed systems, and participate in on-call support. Collaborate across engineering and product teams while using monitoring, testing, and documentation to maintain production quality.

Lead the design and implementation of scalable software systems across Built In’s product lines. Drive technical features, improvements, AI-enabled capabilities, and end-to-end software development on public cloud platforms. Analyze system-level issues, implement solutions, collaborate across product and technology teams, and mentor engineers while promoting agile development, observability, continuous delivery, and engineering excellence.

Develop and integrate OCP SAI with SONiC, enhance control plane stack, ensure optimal SDK performance, and create automated test tools.

Develop SDK bridging hardware and software for networking. Ensure performance of switch ASICs with a focus on L2/L3 protocols and embedded systems.

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.

Designs, develops, and optimizes software solutions using Neo4j and graph database technologies. Responsibilities include architecting graph data models, integrating graph systems into software architectures, optimizing queries, applying graph-specific data modeling practices, and collaborating with Agile teams throughout the SDLC.

Design, develop, test, debug, optimize, and maintain scalable software solutions using Kinaxis-specific tools. Participate in Agile ceremonies, produce clean and maintainable code, resolve technical challenges, and collaborate with cross-functional teams to deliver reliable applications.

Own services from design through production, including coding, testing, deployment, infrastructure changes, monitoring, incident response, and reliability improvements. Build and operate distributed real-time voice systems involving GPU inference, APIs, databases, messaging, and Kubernetes workloads. Define SLOs, improve observability, conduct fault-injection and load testing, manage releases and migrations, investigate customer-impacting failures, and participate in on-call rotations.

Develop and verify functional-safety firmware for SPAN’s grid-connected smart panels. Responsibilities include safety architecture and TrustZone partitioning, certified RTOS and toolchain migration, MCU diagnostics, watchdogs, safe CAN communication, fault-state handling, unit and HITL testing, fault injection, static analysis, FMEA, requirements traceability, and certification documentation. The role may be performed at junior, senior, or staff level, with senior roles owning the safety case and certification strategy.

Build and operate Nexla’s SaaS management-plane APIs and platform features using production Python, FastAPI, and SQLAlchemy. Own data models, relational schemas, queries, migrations, background processing, integrations, testing, deployment, monitoring, reliability, and security. Define scope, architect solutions, ship independently, debug production issues, reduce technical debt, and collaborate with product and engineering teams on evolving data-integration and environment-management capabilities.

Build full-stack infrastructure, DevOps, and MLOps tools for AI development teams. Responsibilities include CI/CD, reproducible environments, experiment and evaluation workflows, self-service applications, observability, cost tracking, deployment automation, identity and access services, LLM gateways, and usage metering. Collaborate directly with engineers and researchers to improve internal workflows, reliability, and operational efficiency.

Build full-stack product experiences spanning responsive interfaces, backend services, APIs, data models, integrations, and testing. Integrate AI models and verification services into reliable customer products, collaborate with research, product, and design teams, learn from users, and own software quality, monitoring, security, performance, and production support.

Develop and maintain scalable full-stack SaaS and API-driven applications using JavaScript, React.js or Angular, Node.js, and PostgreSQL. Build responsive user interfaces, backend services, RESTful APIs, and database solutions. Integrate third-party services, troubleshoot issues, optimize performance and security, participate in code reviews and Agile processes, and collaborate with product, design, and QA teams.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Design, implement, test, and deploy backend and DevOps features and infrastructure. Build robust systems for rapid development and automated testing. Use usage data to iterate on product features for a PowerPoint-integrated AI assistant in a fast-paced startup environment.

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.

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

Build and maintain foundational backend services, infrastructure tooling, and data pipelines for AI-native cybersecurity products. Improve the performance, scalability, resilience, observability, monitoring, alerting, and logging of systems processing billions of daily events. Collaborate with Detection, Data Platform, and Product Engineering teams while using AI-assisted development tools to accelerate workflows and improve reliability.

Develop and maintain microservices in Golang and Python, build RESTful APIs, manage Docker/Kubernetes deployments, and implement infrastructure as code with Terraform. Manage AWS and on-prem infrastructure, design PostgreSQL schemas and Redis caching, configure CI/CD pipelines, optimize database performance, and contribute to system design including Kafka-based event-driven architectures.

Develop custom customer integrations and provide Bubble.io guidance. Build and maintain Salesforce, HubSpot, and other CRM integrations; manipulate data with Python and Pandas; design AWS Lambda microservices; support client onboarding and collaborate with the development team to improve the platform.

Design and ship full-stack asset lifecycle management systems for solar and battery assets. Build Kotlin and Spring Boot services, client-facing onboarding APIs, configurable validation engines, and React/TypeScript tools. Maintain data integrity across platforms, perform migrations and backfills, support production services, and improve monitoring and alerting. Lead technical design discussions, conduct code reviews, mentor engineers, collaborate with product and operations teams, and use AI tools to accelerate coding and testing.