Top Software Engineer Jobs in Bangalore

Leads the design, development, deployment, and optimization of scalable software systems and services. Drives feature development, architectural decisions, code quality, production troubleshooting, and engineering best practices. Mentors junior engineers, conducts code reviews, collaborates on technical strategy, and promotes continuous learning and team effectiveness across Tekion’s cloud-native automotive platforms.

Provides technical leadership for designing and building scalable, high-performance software systems. Leads complex engineering initiatives, develops large-scale distributed systems, partners with product and cross-functional teams, establishes engineering best practices, mentors engineers, and drives system performance improvements, root-cause analysis, reliability, and architectural excellence.

Designs, executes, and maintains manual and automated tests for web, mobile, API, database, and platform applications. Develops automation using Selenium, Playwright, or similar frameworks; performs UI, API, backend, integration, regression, and system testing; documents and tracks defects in JIRA; validates requirements and release candidates; writes SQL queries; maintains test plans and coverage; collaborates with engineering, product, and DevOps teams; and mentors junior test engineers.

Provides technical leadership for scalable, high-performance software systems. Designs distributed system components, leads complex engineering initiatives, partners with product and cross-functional teams, drives architectural and engineering standards, mentors developers, and resolves system-wide issues through root cause analysis.

Provides technical leadership for scalable, high-performance software systems. Leads complex development initiatives, designs distributed system components, partners with product and cross-functional teams, establishes engineering best practices, mentors engineers, and resolves system-wide issues through root cause analysis. The role requires expertise in cloud-native development, containerization, system performance, scalability, fault tolerance, observability, and large-scale application architecture.

Develop and maintain scalable backend modules, REST APIs, and services using C# and .NET Core. Implement business logic, optimize SQL queries and data access, troubleshoot issues, write tests, improve code quality and performance, and coordinate with frontend developers. Apply secure coding, logging, error handling, version control, code reviews, and deployment support practices.

Owns the architecture and governance of enterprise data ingestion and integration platforms. Defines scalable batch, streaming, API, and event-driven frameworks; establishes engineering standards for APIs, schemas, testing, CI/CD, observability, reliability, and security; leads complex design reviews; mentors distributed software and data engineering teams; and develops reusable lakehouse patterns, libraries, and platform components.

Design, develop, and automate large-scale, high-performance software systems supporting seller inbound and logistics operations. Build scalable data infrastructure and pipelines, maintain highly available distributed systems, own projects end to end, and ensure strong operational health. The role focuses on backend or full-stack engineering using cloud technologies, APIs, Java, Spring, AWS, Kafka, Elasticsearch, and other big-data technologies.

Design, build, and maintain scalable backend microservices and APIs; own service domains for reliability and performance; collaborate with product and game teams; optimize infrastructure costs; reduce technical debt via refactoring and automation; ensure observability, security, and compliance; run performance profiling and load testing.

Lead hands-on software development across scalable SaaS applications, microservices, APIs, event-driven workflows, and AI-enabled systems. Design agentic AI workflows using LLMs, tools, APIs, data sources, structured outputs, and workflow state. Lead feature delivery, modernize legacy systems, mentor engineers, establish AI-assisted development practices, and partner on architecture, security, observability, CI/CD, deployment, and production support. Build containerized applications with Docker and Kubernetes using relational and NoSQL databases in cloud environments.

Designs, develops, configures, and supports enterprise-scale Fluent Commerce OMS solutions. Builds REST APIs, JSON integrations, webhooks, and asynchronous integrations with ERP, WMS, payment, CRM, loyalty, and eCommerce platforms. Responsibilities include testing, troubleshooting, production support, root cause analysis, code reviews, Agile ceremonies, and mentoring junior developers.

Lead cloud architecture and full-stack development for an enterprise SaaS platform. Own AWS architecture, backend services, REST APIs, frontend standards, containerization, CI/CD, security, scalability, and reliability. Mentor engineers, conduct code reviews, guide technical decisions, and partner with product, data science, and analytics teams to productionize AI and ML capabilities. Establish responsible AI-assisted development practices and contribute to hiring, onboarding, and team capability development.

Design and develop enterprise solutions using Microsoft Power Platform and Azure services. Build Power Apps, Power Automate flows, Copilot Studio agents, Dataverse models, serverless APIs, integrations, and AI-powered applications. Apply C#/.NET and JavaScript/TypeScript for custom development, automate ALM deployments, troubleshoot performance issues, and integrate Microsoft technologies with third-party systems. Provide solution architecture, code reviews, development standards, mentorship, and technical leadership.

Design, build, and operate Okta’s internal developer platform, including CI/CD pipelines, build and test orchestration, Kubernetes workloads, and multi-cloud infrastructure across AWS, GCP, and Azure. Improve the performance, scalability, cost, and reliability of distributed compute jobs. Serve as a technical leader, architect, mentor, and hands-on engineer while creating self-service tools for internal developers.

Design and maintain scalable backend services using Java and Spring Boot; build REST APIs, microservices, and event-driven systems; manage AWS infrastructure with Salt and Terraform; support observability, reliability, automation, incident response, and production operations. Collaborate cross-functionally, participate in architecture reviews, use AI-assisted development tools, and mentor engineers.

Leads and manages a software engineering team building Power Query and Dataflows capabilities within Microsoft Fabric. Responsibilities include coaching engineers, reviewing code, improving testing and engineering practices, managing cross-team dependencies, ensuring security, scalability, reliability, and performance, and using telemetry to monitor systems. The role also drives AI-assisted software development practices, mentors employees, and establishes team objectives while delivering high-scale data integration services.

Design, build, debug, and improve software across the YugabyteDB and Meko ecosystems. Work with distributed systems, databases, cloud infrastructure, Kubernetes, APIs, developer tooling, automation, and AI technologies. Investigate complex problems, prototype ideas, deliver production-quality solutions, and improve reliability and engineering productivity. Collaborate across engineering, product, support, architecture, and customer teams while owning ambiguous projects and learning new technologies quickly.

Leads a team of 4–8 developers while designing, developing, and delivering scalable Java microservices and backend applications. Responsibilities include architecture, coding, code reviews, mentoring, technical strategy, performance optimization, production troubleshooting, CI/CD collaboration, Agile delivery, and ensuring quality, security, and compliance. The role requires strong Java, Spring Boot, cloud, DevOps, database, messaging, testing, and team leadership expertise.

Develop and lead end-to-end features for scalable cloud-native SaaS applications using ReactJS, TypeScript, NodeJS, GraphQL, and modern cloud technologies. Translate customer and business needs into technical solutions, troubleshoot complex issues, mentor engineers, improve development processes, and guide adoption of emerging technologies, including AI-driven user experiences and workflow automation.

Design, develop, and QA full-stack software (web/desktop/mobile). Contribute to HLD, architecture and data flow diagrams. Implement features, fix bugs, work with APIs/webservices, UI/UX, use GitHub, Visual Studio, and apply manual and automated testing; strong debugging required.

Lead backend architecture and development of highly available Python/FastAPI systems powering company-wide AI features. Own technical decisions, build and maintain an MCP gateway, deploy and troubleshoot AWS services, design scalable data models and database schemas, implement secure API patterns, write tests and documentation, and provide code reviews. The role requires independent problem-solving in an ambiguous environment and collaboration with backend, frontend, and data science engineers.

Lead and mentor a team of software engineers building scalable control-plane components for Zscaler’s cloud security products. Define technical roadmaps, develop distributed systems, improve observability and reliability, and collaborate with SRE, Support, and Customer Success. The role requires deep networking, Kubernetes, container infrastructure, AI/ML, and high-throughput systems expertise, with preferred experience in control-plane architecture, state management, RPC frameworks, and LLM integrations.

Owns application and customer experience monitoring across production systems. Responsibilities include improving monitoring solutions, analyzing performance data, auditing production environments, creating reports, advising product teams, and driving observability adoption. The role uses Dynatrace and Splunk and incorporates AI-driven insights across APIs, microservices, cloud, front-end, and back-end systems.

Serve as the architectural leader for the Service Desk product, defining technical vision across frontend, backend, platform, cloud, and data layers. Lead major architecture and modernization initiatives, remain hands-on with Ruby on Rails and Python services, and design scalable AWS solutions using MySQL and Elasticsearch. Influence product direction, improve security and production readiness, guide API-driven engineering, participate in architecture reviews, and mentor senior and staff engineers across teams.

Design and implement high-performance networking datapath solutions for routers using custom and merchant silicon. Develop packet forwarding technologies including IP, MPLS, Segment Routing, and VXLAN, plus QoS, ACL, TCAM management, and packet processing. Write efficient, modular, well-tested C/C++ code using DPDK and virtualized Linux environments. Collaborate with product management and testing teams to deliver robust, customer-focused networking products.