Top Engineering Jobs in Bangalore

The Lead Software Engineer at Salesforce is responsible for developing scalable components, writing production-ready code, mentoring junior engineers, and managing the software development lifecycle in a multi-tenant SaaS cloud environment.

Design and execute coverage-driven verification for processor-based SoCs. Develop verification plans, UVM/PSS testbenches, run RTL/FPGA/Palladium/GLS simulations, analyze coverage, debug systems, and generate functional patterns for post-silicon/wafer sorting.

Lead development and support of verification and emulation frameworks, partner with ASIC teams to deploy advanced verification environments, develop scripting and regression suites, create and execute test plans, and collaborate cross-functionally to optimize verification workflows.

The Senior Developer will design and implement CI/CD platforms, improve developer experience, and mentor engineers while ensuring operational excellence and security in software delivery.

The Senior Engineering Manager, AI Agents will lead the AI Agent software platform development, managing a high-performing engineering team focused on creating autonomous self-service agents and ensuring operational excellence in software development.

Lead and grow multiple Platform Engineering teams to deliver resilient, scalable cloud platform capabilities. Drive technical direction, ensure SLAs/SLOs, adopt engineering best practices, collaborate with product and security stakeholders, and foster team development and continuous improvement.

The Manager of Engineering leads the development of Aurora Endpoint products, driving execution across global teams while adopting AI-driven software engineering practices and ensuring high-quality solutions.

Lead verification strategy, architecture, and teams for complex Edge AI SoC designs. Drive verification methodology innovation, cross-organizational sign-off, advanced RTL/GLS debugging, mentorship, and metrics to ensure first-pass silicon success and high-volume production.

Research, develop, and support software and automation tools for analog/mixed-signal/RF IC design; implement algorithms, data structures, and ML methods; integrate and deploy EDA tools; provide user support and collaborate with designers and vendors to improve IC design flows.

Design, develop, build, debug, and optimize automotive-grade embedded Linux applications in C/C++ for telematics devices. Implement IPC and multithreaded solutions, use OpenEmbedded/bitbake for builds, apply version control and GTest for unit testing, and collaborate in agile teams to create POCs, demos, and production-ready telematics products.

Build and maintain CI/CD pipelines, automate infrastructure and cloud environments, administer applications and developer tools, create internal tooling, monitor and optimize system performance, and collaborate with developers and ops for secure, reliable deployments.

Design, develop, unit-test, document, and integrate software components; architect solutions and build CI/CD pipelines. Lead ServiceNow SAM Pro/ITAM tasks including asset data modeling, entitlement loading, discovery mapping, and SAM Pro troubleshooting. Collaborate with clients to normalize product data and support DevOps and cloud-certified practices.

Lead integration, enablement, and optimization of Silicon One networking software across NOS and SDKs. Drive feature enablement (SAI), QoS, congestion and load-balancing work, performance tuning, root-cause analysis, and customer issue resolution. Mentor engineers, participate in architecture and design reviews, and improve automation, validation, and CI for deployment readiness in large-scale cloud and AI/ML networking environments.

Lead a global team focusing on site reliability and application security, ensuring product uptime, security compliance, and operational excellence while mentoring engineers and collaborating with stakeholders.

As an Engineering Manager, you'll lead a team to build scalable ad systems, oversee technical architecture, and collaborate with product teams, ensuring engineering excellence and fostering a high-performing culture.

The Engineering Manager will lead the recommendation infrastructure team, oversee technical strategy, manage an engineering team, optimize systems, and collaborate with cross-functional teams to enhance user experiences.

The role involves managing IBM i infrastructure, troubleshooting issues, implementing changes, and collaborating on engineering solutions and strategies.

The Senior Software Engineer will design, build, and maintain a Kubernetes-native cloud platform, ensuring reliability, security, and compliance while collaborating on technical designs and contributing to open-source improvements.

The Engineering Manager will lead software engineering teams, drive AI adoption, oversee architecture for applications, and ensure delivery of impactful features while fostering a high-performing culture.

Lead a backend/product software team (7-10 developers) to deliver end-to-end Java-based features and fixes. Provide technical mentorship, contribute hands-on coding and architecture (HLD/LLD), ensure software quality, CI releases, and work with large data sets and databases. Interface with stakeholders, operate in a multi-site Agile environment, and split time between technical delivery and management.

Develop and maintain manufacturing processes, collaborate on product improvements, and mentor junior engineers while driving cost reduction and operational excellence.

The Engineering Manager will lead the development of a scalable Data Platform, oversee multiple projects, manage engineers, and ensure data quality and security compliance.

Lead and mentor software engineering teams to design, build, deploy, and monitor scalable, event-driven cloud applications; drive automation, innovation, and alignment between technology and business stakeholders while ensuring reliable delivery and operational excellence.

Drive SRE/application support for Payments and Tokenization: design and implement resiliency, monitoring, automation, and remediation. Consult on incidents, build frameworks and standards for performance and availability, implement tracing and tooling, and support 24x7 operations and platform migrations.

Lead and grow cloud-native engineering teams to deliver scalable, high-performance SaaS data protection systems. Combine hands-on technical leadership with people management, partner with Product, drive execution, adopt AI-enabled practices, optimize performance, and improve developer experience, reliability, and cross-team collaboration.