Top Engineering Jobs in Mumbai

Lead a distributed team of engineers overseeing Linux kernel delivery for Ubuntu, ensuring quality, security, and effective collaborative practices.

As a Software Engineer in Sustaining Engineering, you will resolve complex issues related to Ubuntu and open-source software, engage with upstream communities, and develop bug fixes while maintaining close collaboration with support and product teams.

Lead the adoption of Rust at Canonical, design and implement Rust software, collaborate on technical specifications, and advocate for Rust within projects.

As an Engineering Manager, you will lead a team to optimize engineering and operations processes, ensuring quality managed services while collaborating with customers and stakeholders.

Manage and lead a growing engineering team for the BootStack service, ensuring operational excellence and quality service delivery to customers while fostering collaboration and product improvement.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

You will lead engineering teams, develop managers, hire staff, drive quality, and ensure disciplined processes while representing products to stakeholders.

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.

The Engineering Manager leads the Ubuntu Desktop Apps team, overseeing application design, development, and system integration while mentoring engineers and promoting continuous improvement in software quality.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

The Senior Solution Architect UX - Engineering Operations is responsible for providing AI-powered solutions in application transformation focused on supply chain services, ensuring adherence to information security standards and policies.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Lead and mentor a team of data analysts to design and implement analytics strategies, delivering insights and overseeing data accuracy and compliance.

Lead and mentor engineering teams to design, build, and scale high-performance, distributed systems. Drive architecture, engineering excellence, predictable delivery, and AI-first practices by integrating LLMs and automation across the development lifecycle. Partner cross-functionally to balance short-term delivery with long-term technical investments and improve developer productivity and software quality.

Leads end-to-end cloud and platform engineering consulting engagements, owning scope, governance, delivery quality, client relationships, and executive outcomes. Manages a 2–3 person engineering pod through staffing, coaching, and performance development. Oversees multi-cloud discovery across AWS, Azure, and GCP, develops prioritized recommendations and roadmaps, applies AI-driven solutions, and evolves repeatable Rapid Solutions playbooks, templates, and delivery standards.

Lead end-to-end cloud and platform engineering consulting engagements, owning scope, governance, client relationships, delivery quality, and executive outcomes. Manage and coach a 2–3 person engineering pod, oversee staffing and utilization, conduct multi-cloud technical discovery, and develop prioritized recommendations and roadmaps. Evolve Rapid Solutions offerings, playbooks, templates, and delivery standards while applying AI-driven solutions to improve efficiency and insight.

Lead and scale multi-disciplinary software engineering teams delivering Promotions and Loyalty Services platforms. Own delivery quality, architecture, timelines, KPIs, risk mitigation, and client/stakeholder relationships. Provide technical guidance, support solutioning and pre-sales, manage hiring, performance, and career development, and drive engineering best practices across global teams.

Lead and scale multi-disciplinary software engineering teams delivering Promotions and Loyalty Services platforms. Own delivery quality, architecture, timelines, KPIs, risk mitigation, client/stakeholder engagement, pre-sales scoping, and people management including hiring and career development.

Provide L1/L2 support for Windows servers, virtual machines, endpoint management (SCCM, Intune), monitoring (SCOM), basic Azure resource support, patching, troubleshooting, and security/compliance remediation.

Design, build, test, and debug Ab Initio ETL graphs using GDE; manage Co>Operating System execution, EME metadata and lineage; implement parallelism, continuous flows, DML transformations, and transform components (Rollup, Join, Scan, Reformat); integrate real-time processing with messaging queues.

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.

Manage end-to-end delivery of managed services focused on vulnerability remediation, SLA-driven outcomes, SDLC compliance, stakeholder communication, team ramp-up, and adoption of automation and AI to improve throughput and reduce risk.

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.