Top Software Engineer Jobs in Bangalore

Leads the design and evolution of enterprise test automation frameworks and infrastructure. Provides technical leadership, mentors SDET engineers, drives framework migrations, and establishes quality engineering standards. Builds Playwright-based web automation with C#/.NET, REST API and database validation, CI/CD integrations, ephemeral test environments, and parallel test execution. Collaborates with development, DevOps, architecture, and QA teams while applying shift-left testing, Docker, cloud-native practices, and AI-assisted automation workflows.

Leads a team of software engineers developing secure, scalable financial technology solutions using Java and Python. Responsibilities include system design, coding, code review, testing, production support, troubleshooting, automation, AI-assisted engineering adoption, vendor evaluation, and maintaining application resiliency and security within an agile SDLC.

Design, develop, troubleshoot, and debug cloud-hosted, cloud-native applications using Java and microservices. Lead architecture and technical design decisions, ensure scalable and secure production software, conduct code reviews and testing, mentor engineers, collaborate with product and engineering stakeholders, and apply emerging cloud technologies to improve performance and quality.

Design, develop, troubleshoot, and debug software for new and existing semiconductor equipment products. Implement customer features, maintain code, resolve issues, document solutions, and collaborate with cross-functional teams on software-hardware integration. The role may involve customer-site support and less than 10% travel.

Design, build, deploy, and maintain resilient, scalable backend services and APIs for Toast’s payments platform. Lead complex reliability and functionality projects, collaborate across engineering, UX, and product teams, build automated tests, monitor production releases, and mentor engineers. The role involves distributed systems, third-party payment processors, microservices, and high-volume transaction processing.

Lead development of scalable full-stack applications using .NET, C#, ASP.NET Core, React, and TypeScript. Build APIs, cloud-native AWS solutions, Terraform infrastructure, and CI/CD pipelines while troubleshooting production systems. Contribute to architecture, security, testing, performance, resiliency, and observability practices. Lead responsible adoption of AI-assisted engineering tools, establish validation standards, and coach engineers on secure and compliant use. Collaborate with product, QA, DevOps, and security teams in an agile environment.

Software Engineering Interns develop and test scalable front-end and back-end software for PayPal’s payment platforms. Responsibilities include designing changes, coding web applications and backend services, supporting distributed systems, deploying updates, triaging production issues, and collaborating with design, product, and business teams. The role requires web technology knowledge, programming experience, and enrollment in a computer science or related bachelor’s program with graduation in 2028.

Leads complex, companywide software engineering initiatives; designs, codes, tests, debugs, documents, and reviews large-scale technology solutions. Develops engineering standards and best practices, resolves complex technical issues, mentors teams, and collaborates with senior technical experts. The role emphasizes C# development, Windows desktop applications, system internals, networking, secure inter-process communication, filtering APIs, and privileged Windows services.

Design, develop, test, and optimize real-time embedded software for TI UCD digital power controllers. Implement power-control algorithms, device drivers, and communication interfaces; integrate firmware with hardware; perform board bring-up, debugging, validation, and automated testing. Support application engineers and customers, document software architecture and test procedures, and contribute to code reviews and process improvements.

Develop and enhance full-stack AI/ML-powered security applications using the MERN stack and Python. Design, implement, test, debug, and integrate application components and services while improving code quality, performance, and reliability. Collaborate with engineering teams and development partners, contribute to CI/CD automation, and apply secure coding practices across cloud-based solutions involving machine learning and large language models.

Develop and enhance full-stack AI/ML-powered security applications using the MERN stack and Python. Responsibilities include designing software components, coding, testing, debugging, integration, performance improvement, CI/CD automation, and secure application development. The engineer will collaborate with cross-functional teams to deliver reliable solutions and contribute to cloud, MLOps, large language model, and automation initiatives.

Design, develop, and maintain large-scale software for Zscaler’s cloud security platform. Responsibilities include defining product requirements and software designs, implementing tested and maintainable code, collaborating across engineering teams, and resolving complex customer issues. The role requires expertise in Python, Golang, or C/C++, public cloud infrastructure, cloud networking, firewalls, and networking protocols, with preferred experience in AI/ML, distributed systems, SaaS, and identity management.

Develop and maintain software for Atlassian’s Trusted Data Platform. The provided description contains limited role-specific responsibilities, qualifications, technologies, travel requirements, and clearance information.

Lead DevOps and platform reliability for large-scale cloud security products. Own deployments, production operations, incident response, observability, monitoring, alerting, automation, and platform resilience. Architect and optimize AWS EKS and Kubernetes environments, troubleshoot distributed systems and networking issues, and standardize GitLab CI/CD pipelines and release workflows. Provide technical leadership while improving system performance, reliability, security, and operational efficiency through automation and AI-enabled solutions.

Leads architecture, technical direction, and delivery across multiple backend engineering teams. Develops scalable microservices and platforms using modern backend technologies, coordinates scrum teams, removes delivery obstacles, and drives engineering best practices. Responsibilities include coding, design and code reviews, troubleshooting production issues, root cause analysis, stakeholder collaboration, project leadership, and recruiting, mentoring, and developing engineers.

Leads software engineering initiatives within finance technology, delivering secure, scalable Java and React applications on AWS. Responsibilities include system design, coding, testing, troubleshooting, code reviews, automation, operational stability, vendor and architecture evaluations, and multi-team adoption of AI-assisted development tools. Establishes governance, security, resiliency, measurement, and responsible AI practices while coaching engineering teams and driving technology communities of practice.

Leads production support and Site Reliability Engineering for critical financial platforms. Owns service reliability, availability, scalability, observability, incident response, root-cause remediation, SLOs, monitoring, and operational governance. Automates infrastructure using AWS and Terraform, improves CI/CD and production engineering practices, and coordinates across engineering, infrastructure, cybersecurity, and support teams. Champions responsible AI-assisted development, secure coding, testing, resiliency, documentation, and runbook adoption.

Lead backend engineering for Chase UK’s digital banking platform. Design and deliver secure, scalable cloud-native microservices using Java, RESTful APIs, messaging, and distributed systems. Build effective automated tests, optimize data access and performance, support production systems, manage incidents, and ensure zero-downtime releases. Coach engineers, guide architecture and coding practices, manage stakeholders, and promote responsible AI-assisted development with strong validation, security, and compliance standards.

Leads the architecture, development, operation, and ownership of a large-scale marketing data platform. Designs resilient distributed systems, real-time streaming pipelines, microservices, and cloud-based infrastructure across multiple data centers. Balances feature delivery, production support, and technical debt while mentoring engineers and driving technical roadmaps. Collaborates with engineering, product, and executive stakeholders to deliver scalable, reliable, data-intensive platform capabilities.

Lead architecture and technical decisions for high-scale, distributed cloud security systems. Establish coding, testing, observability, and CI/CD best practices; improve performance and reliability; drive cross-team initiatives; and guide adoption of new technologies. The role requires hands-on Java or Go development, microservices and Kubernetes expertise, streaming infrastructure knowledge, and experience building fault-tolerant enterprise systems.

Lead a hands-on engineering team to build cloud-native FinOps capabilities on AWS (and GCP). Design and operate backend services, Kubernetes automation, CI/CD, and cost-management tooling to improve cost governance, efficiency, and observability while partnering with platform, application, and SRE teams.

Develop and enhance custom software components using modern frameworks and agile practices. Design scalable architectures, optimize application performance, maintain existing systems, and collaborate with cross-functional teams to gather requirements. Contribute independently as a subject matter expert, participate in team discussions, document technical processes, and support junior team members. Generative AI expertise is required, while React.js and Node.js are preferred.

Design, build, and configure Java full-stack applications aligned with business requirements. Lead development and implementation, make team decisions, provide technical solutions, coordinate cross-functional integration and deployment, troubleshoot performance issues, and mentor junior engineers. The role requires expertise in front-end and back-end development, RESTful APIs, databases, software development lifecycle practices, and Agile methodologies.

Develop and customize Salesforce applications using programmatic and declarative tools. Document functional requirements, guide developers, design integrations, and make architectural tradeoffs to deliver robust business solutions. The role requires extensive Salesforce development experience, including Sales Cloud, Apex, Visualforce, Lightning Components, enterprise implementations, and application integration patterns.

Develop scalable, highly available cloud-native software for Cisco Intersight, a SaaS system management platform. Responsibilities include designing microservices, writing code in Go, Java, C, or C++, working with Docker and Kubernetes, using AWS, debugging complex system issues, and applying data structures, algorithms, and object-oriented design. The role requires strong ownership, communication, adaptability, and the ability to manage competing priorities.