Top Software Engineer Jobs in Bangalore

Develop automation frameworks and automated tests for Zscaler Client Connector. Expand test coverage and infrastructure, create test plans, execute manual and automated testing, investigate defects, identify root causes, and reproduce customer issues. Collaborate with development, product management, and cloud operations teams throughout product design and release. The role requires strong Python programming, CI/CD automation, networking knowledge, and experience testing VPN or network traffic products.

Lead feature design and hands-on C++ development for Zscaler Client Connector on Linux. Own complex projects from concept through deployment, improve code quality and security, optimize high-speed packet processing, and collaborate with Quality Assurance. The role requires distributed systems experience, strong operating-system and network programming knowledge, and expertise in C/C++, algorithms, debugging, TCP/IP, HTTP/S, DNS, proxies, and kernel-mode networking. Preferred experience includes AI-driven operations, cybersecurity, encryption, endpoint agents, socket programming, and POSIX multithreading.

Build and operate internal developer productivity platforms, including developer tools, MCP servers, AI agents, CI/CD automation, GitOps workflows, and policy-as-code guardrails. Monitor adoption, improve platform security and reliability, support remediation workflows, partner with product teams, and respond to incidents affecting internal engineering platforms.

Design, develop, test, maintain, and support Zinnia software platforms and REST APIs. Collaborate with global teams, stakeholders, and clients to deliver technical solutions, troubleshoot issues, architect platform requirements, and validate implementations. Serve as a technical lead by mentoring junior engineers, conducting technical reviews, and providing subject-matter expertise while adapting to changing business needs.

Design, architect, and implement reliable, scalable Java backend systems for a multi-tenant SaaS integration platform. Build connector integrations, distributed microservices, data pipelines, and event-driven services using multiple protocols. Own observability, operational health, performance, security, testing, and production support while contributing to architecture decisions, mentoring engineers, and collaborating with Product, DevOps, and SRE teams.

Develop and maintain a VB.NET WinForms billing workflow application, optimize SQL Server databases and T-SQL, implement automated tests, and support modernization toward ASP.NET Core and Blazor. Collaborate with business stakeholders, participate in code reviews and technical design, improve performance and code quality, and use AI-assisted development tools. The role is remote and offers mentorship while increasing technical ownership.

Design, develop, and operate scalable full-stack CRM solutions for Microsoft Advertising. Build Azure cloud services, APIs, distributed systems, modern web applications, and Dynamics 365 CRM integrations. Develop Copilot and generative AI capabilities, improve platform scalability and reliability, and drive testing, security, observability, and operational excellence. Partner with product, science, data, and engineering teams while mentoring engineers and owning solutions from architecture through deployment.

Build and deliver scalable SaaS features for government agencies using full-stack technologies including ReactJS, TypeScript, GraphQL, and NodeJS. Responsibilities include translating business requirements into technical solutions, writing maintainable software, debugging complex issues, improving engineering processes, mentoring junior engineers, and evaluating emerging technologies. The role also involves AI-driven user experiences, workflow automation, observability, and event-driven architecture.

Owns complex, cross-team quality initiatives from design through production rollout. Leads test strategy, automation architecture, performance and reliability testing, CI/CD and observability adoption, risk management, production incident resolution, and engineering mentorship. Partners across teams to address customer issues and improve product quality. Evaluates and integrates AI-powered testing tools, including test generation, self-healing automation, anomaly analysis, and agentic testing frameworks.

Design, develop, and troubleshoot Java-based transactional microservices and cloud-native systems. Translate user stories into scalable solutions, collaborate cross-functionally, and maintain CI/CD pipelines and DevOps tooling across GCP/AWS environments.

Develop full-stack platform capabilities for PaaS offerings, including React or Angular portals, Python or Go backend services, REST APIs, microservices, API gateways, and Kafka-based systems. Support CI/CD pipelines, Kubernetes deployments, observability, troubleshooting, production operations, and on-call activities while collaborating with infrastructure, SRE, and engineering teams.

Develops, tests, integrates, and supports networking and operating-system software for Cisco IOS XR. Responsibilities include feature development, system programming, code reviews, unit testing, production monitoring, issue resolution, threat modeling, postmortems, and customer collaboration. The engineer may lead technical features, contribute to roadmaps, mentor peers, and improve software development standards. The role requires deep C/C++ expertise and knowledge of UNIX systems, networking, multithreading, and GenAI-enabled development.

Build and maintain full-stack components for commercial mobility payment and fleet platforms. Responsibilities include developing tested code within established microservice or frontend architectures, fixing bugs, supporting production systems, adding observability, participating in supervised on-call rotations, deploying through CI/CD, updating documentation, and collaborating in Agile team rituals. The role requires foundational software engineering knowledge, clean coding practices, testing experience, Git proficiency, and willingness to learn cloud, security, compliance, and AI-assisted development tools.

Designs, develops, and supports Python and .NET automation services, integrations, workflows, and reusable frameworks. Builds REST API and messaging integrations, data transformations, testing, CI/CD pipelines, monitoring, and secure production solutions. Troubleshoots incidents, performs root cause analysis, maintains documentation, and improves reliability, performance, resilience, and cost efficiency while collaborating with vendors and technical stakeholders.

Leads development of scalable, high-performance software systems and services from concept through deployment. Influences architecture and technical strategy, resolves production and development bottlenecks, conducts code reviews, establishes engineering standards, mentors junior engineers, and promotes best practices. Requires expertise in modern programming languages, distributed systems, cloud-native services, microservices, containerization, cloud platforms, and performance optimization.

Owns software QA strategy, test planning, execution, and automation for HPE’s hybrid cloud platform. The role develops and enhances Python-based automation frameworks, performs functional, regression, scale, filesystem, protocol, and data-path testing, and troubleshoots complex system issues. It requires collaboration across distributed Agile teams and knowledge of storage, networking, containers, CI/CD, Linux, and AI workflows.

Develops and executes software testing strategies across functional, regression, scale, and automated testing. Owns automation frameworks and tools, troubleshoots complex issues, and collaborates with distributed Agile teams. Tests storage systems, file systems, protocols, data paths, networking, containers, and Linux or virtual-machine environments. Uses Python, CI/CD pipelines, Git, Jenkins, Jira, and Confluence while contributing to AI-enabled software development workflows.

Own software QA strategy, test planning, execution, troubleshooting, and automation for HPE’s hybrid cloud platform. Develop and enhance Python-based automation frameworks, conduct functional, regression, scale, filesystem, protocol, and data-path testing, and collaborate across distributed Agile teams. The role requires storage, networking, containerization, CI/CD, Linux, and system engineering expertise, with AI-based development and testing experience preferred.

Design, develop, integrate, test, debug, and maintain C++, Qt, and QML software for regulated infant-care medical devices on embedded Linux platforms. Responsibilities include software architecture, feature development, defect resolution, code and design reviews, testing, automation, performance improvement, requirements translation, cross-functional collaboration, and compliance with medical-device quality, security, and regulatory processes.

The Senior QA Software Engineer - AI will design and implement test strategies for AI-driven solutions, develop automated testing frameworks, and mentor junior engineers while ensuring quality across software applications in legal, tax, and compliance domains.

Leads the design, development, testing, optimization, and production support of low-latency, high-throughput Java trading applications. Responsibilities include electronic and algorithmic trading, exchange connectivity, real-time messaging, system monitoring, risk and compliance, troubleshooting, architecture enhancement, automated testing, and collaboration with traders, product managers, operations, and engineering teams. The role also mentors engineers and drives technical initiatives across exchange connectivity, algorithmic trading, and time-series systems.

Lead software quality across the development lifecycle by defining test strategies, building automated frameworks, executing functional and performance testing, monitoring quality metrics, supporting releases, and driving CI/CD quality gates. Collaborate with cross-functional teams, mentor junior engineers, promote quality standards, and ensure regulatory, safety, compliance, and cybersecurity requirements are met in scalable healthcare software products.

Design, build, and maintain scalable distributed systems and microservices for an AI-enabled healthcare platform. Develop maintainable backend and full-stack code, integrate AI capabilities, design REST APIs, optimize performance and reliability, and support secure cloud-native engineering. Lead technical decisions, collaborate with product teams, contribute to deployments and monitoring, identify architectural improvements, and mentor junior engineers.

Design, develop, and operate cloud-native backend services in Go that support financial risk steering and decision-making. Build ML-powered systems with Data Scientists and ML Engineers, develop distributed and event-driven architectures, and ensure scalable production operations. Participate in code reviews, documentation, knowledge sharing, and cross-functional collaboration with Risk, Engineering, and Data Science teams.

Provides technical leadership across engineering teams, defining architecture, engineering standards, and technology strategy. Designs and supports scalable cloud-native distributed systems using Java, Spring Boot, Node.js, and TypeScript. Leads platform engineering, reliability, security, DevOps, observability, and infrastructure automation across AWS, Kubernetes, and related technologies. Mentors engineers, drives architectural decisions, manages technical debt, improves production operations, and promotes quality, secure coding, continuous delivery, and engineering excellence.