Top Engineering Jobs in Bangalore

Lead engineering for Consumer Intelligence & Engagement, owning personalization, content management, product discovery, promotions, and communications. Define technology strategy, architecture, and AI integration; ensure GraphQL/APIGEE APIs, SFCC and Sanity implementations, performance, testing, and platform health. Build and mentor senior engineering teams, partner with product and business stakeholders, and drive delivery, standards, and experimentation across DTC commerce capabilities.

Lead and grow an engineering organization responsible for a large-scale, real-time metrics platform. Drive technical strategy to scale metrics infrastructure, evolve APIs and datasets, ensure 99.99%+ availability and sub-second queries, mentor engineers, manage hiring/performance, and collaborate across telemetry, cloud infrastructure, and product teams to deliver observability solutions.

Enable customers and prospects to use Confluent Cloud by producing code samples, guides, articles, webinars, and one-on-one technical support. Build and maintain examples integrating Kafka and Flink with AI/ML tools, collaborate with product and engineering teams, troubleshoot performance, and engage in community forums to educate and onboard users.

Lead and scale a 100+ engineer organization building marketing technology platforms. Define technical strategy and roadmaps, deliver cloud/mobile systems, CI/CD and AI-native solutions, collaborate with product and enterprise partners, and ensure resilient, scalable delivery while developing high-performing global teams.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Manage engineering teams, focusing on recruitment, training, project management, and technical decision support while promoting a strong engineering culture.

Lead and grow a backend engineering team to design, build, and operate scalable, cloud-native microservices and data integrations for Nike's Order Fulfilment Management platform, owning delivery, architecture guidance, CI/CD adoption, and stakeholder alignment.

Leading a team to develop solutions for internal Supply Chain Planning Technology. Focus on building modular, configurable API-first capabilities and fostering collaboration.

Sumo Logic invites candidates to join their talent pipeline for future engineering roles, focusing on cloud-native engineering, distributed systems, and data security.

The Staff Engineer leads analog and mixed-signal block design, conducts design reviews, mentors junior engineers, and develops methodologies for advanced technology applications.

As a Senior Digital Verification Engineer, lead verification planning for digital and mixed-signal designs, innovate verification environments, and mentor junior engineers.

Lead the digital transformation of contact center technology, overseeing AI-powered platforms, collaborating with teams, and managing engineering practices in a SaaS environment.

The Engineering Manager is responsible for leading a team of technical developers and consultants, ensuring project delivery, team development, and contribution to business growth through pre-sales and solutioning efforts.

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 a cloud infrastructure engineering team to design, build, operate, and govern Nike's multi-cloud platform. Split time between hands-on architecture, development, and automation, and leadership duties including technical strategy, best practices, cross-functional collaboration, mentoring, and translating business needs into cloud solutions.

Lead a cloud infrastructure engineering team building and operating Nike's multi-cloud platform. Split time between hands-on design, development, and operations of cloud solutions and leadership duties: setting technical priorities, defining best practices, coaching engineers, and partnering with cross-functional teams to deliver scalable, secure cloud architectures.

Lead and grow cloud infrastructure squads responsible for multi-cloud access, entitlements, governance, policy guardrails, and cloud economics. Drive roadmap delivery, architecture, SLOs, CI/CD, AI-assisted automation, platform reliability, and global co-ownership while recruiting and mentoring high-performing engineers.

Develop and maintain web applications using PHP, collaborate with teams, write optimized code, and troubleshoot applications for performance.

The candidate will develop and maintain web applications in PHP, collaborate with teams, write clean code, troubleshoot issues, and share knowledge.

Manage cloud-based application engineering teams, implement SOA structured applications in Go, and leverage AWS to meet business needs.

The Senior Java Specialist will mentor teams, engage in client interactions, perform code reviews, troubleshoot issues, and contribute to pre-sales activities and prototypes.

The Specialist in Cloud & Application Engineering will focus on AI-driven application transformation services, ensuring adherence to information security policies and handling organizational data securely.

Lead the design and implementation of cloud-based applications using Go and AWS services, ensuring integration and performance in an agile environment.

Lead and grow multiple software engineering teams building scalable, cloud-based supply chain and planning platforms. Drive architecture, integrate TMS/ERP/WMS/OMS systems, deliver GenAI data products, champion modern DevOps and engineering practices, and align technical solutions with global stakeholders while fostering inclusive team culture.

Lead global near-realtime data streaming teams to design, build and operate scalable, resilient cloud-native platforms (Kafka/NiFi) on AWS. Balance 60% technical leadership and 40% people management: roadmap alignment, platform roadmap, operational metrics, cross-team partnership, hiring, coaching, and delivering production-grade data integration capabilities at scale.