Top Engineering Jobs in Bangalore

The role involves engineering Azure infrastructure solutions, leading projects, and collaborating with development teams while ensuring effective communication with clients.

The Engineering Manager will lead the engineering team, manage projects, provide technical guidance, optimize processes, and liaise with stakeholders to deliver quality products.

As a Site Reliability Engineer, ensure high availability and performance of Nike's digital experiences through monitoring, troubleshooting, and optimizing systems while collaborating with various teams.

Lead a remote engineering team to develop Python and Golang micro-services for a global software distribution system, mentoring team members and collaborating with other engineering leaders to execute strategy and improve engineering practices.

The Manager, Software Engineering is responsible for mentoring engineers, driving software development, and fostering a culture of trust and continuous improvement within teams.

The Ubuntu Engineering Lead will oversee and mentor teams, drive the development and delivery of high-quality software, and contribute to community engagement while managing technical roadmaps and cultivating engineering talent.

This role involves maintaining the reliability of Nike's systems by diagnosing production issues, developing monitoring solutions, and collaborating with teams for optimization.

The Technical Lead oversees the UI development, guides technical direction, collaborates with teams, and mentors engineers, ensuring high-quality software delivery.

Lead and develop engineering teams to optimize Ubuntu for next-gen hardware. Oversee project milestones, maintain software stacks, and enhance engineering practices.

As a Lead Software Engineer at Nike, you will design and build data platforms, lead technical designs, collaborate with stakeholders, and mentor junior engineers.

As a Software Engineering Intern, you will collaborate on full-stack development, work on backend and frontend technologies, and contribute to innovative AI/ML projects.

Design and develop enterprise automation solutions like workflows and incident deflection systems while collaborating with engineers and product managers to enhance operational efficiency.

Manage and inspire a team of engineers to design and maintain scalable data platforms, ensuring alignment with company goals and fostering innovation.