Top Tech Jobs & Startup Jobs in Delhi

As a Performance Engineer at Canonical, you will enhance software performance and correctness across teams, drive performance culture, and influence design through insights on the software stack. Responsibilities include collaborating on performance measurement tools, strengthening testing pipelines, and providing mentorship on performance strategies.

As the OpenStack Engineering Manager, you will lead a team focused on managed services for customer environments, ensuring quality and timely delivery while collaborating with various stakeholders. Your role will include process implementation and measuring team health indicators.

As an Engineering Manager at Canonical, lead a distributed team focused on developing Logging, Monitoring, and Alerting solutions. Oversee team operations, conduct code reviews, and foster a positive work environment while promoting healthy engineering practices and fulfilling project goals.

As a Senior Engineering Manager at Canonical, you will lead a distributed team of engineers working on essential components of Ubuntu. Your role involves planning, execution, and driving the adoption of best software development practices while collaborating with cross-functional teams. A deep understanding of Linux, demonstrated experience in software engineering, and exceptional leadership skills are key to success in this role.

As a Linux System Engineer at Canonical, you will focus on enhancing the quality of Ubuntu through automation and testing. You'll monitor quality indicators, troubleshoot issues, improve continuous integration processes, and develop automated test cases, while collaborating with various teams.

The role involves designing and implementing well-tested software in Go, debugging user issues, collaborating on technical specifications, and improving engineering practices. Applicants will contribute to building systems that deliver Ubuntu and may deploy services developed by the team.

The Engineering Manager will lead a team to build scalable data solutions using Python and cloud technologies, manage expectations with stakeholders, foster a collaborative engineering culture, and contribute code as needed. Responsibilities include hiring, mentoring, and upholding high engineering standards.