Senior Engineering Manager

• Site Leader for DataHub Vancouver, responsible for leading and growing a high-performing engineering team responsible for DataHub platform services, enterprise search infrastructure, retrieval systems, security governance, and AI enablement capabilities.

• Define and execute technical and organizational roadmaps aligned with company and business objectives.

• Drive end-to-end delivery of large-scale initiatives from architecture and planning through production deployment and operational excellence.

• Partner with Product Management and technical leadership to prioritize investments, balance short-term execution with long-term platform strategy, and deliver customer value.

• Establish engineering best practices for architecture reviews, software quality, security, reliability, scalability, observability, and operational excellence.

• Lead the design and evolution of secure enterprise data access, identity-aware retrieval, authorization services, metadata management, and AI-powered search systems.

• Build strong partnerships across Security, Infrastructure, AI, Product, and Customer Success organizations.

• Create a culture of ownership, accountability, innovation, inclusion, and continuous improvement.

• Recruit, hire, mentor, and develop engineering talent while building succession plans and technical leadership within the organization.

• Manage team performance, career growth, employee engagement, and organizational effectiveness.

• Drive engineering operational metrics including velocity, quality, reliability, service-level objectives (SLOs), and customer impact.

• Lead incident management reviews, operational readiness initiatives, and continuous platform improvements.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

• 10+ years of software engineering experience with 3+ years of engineering management experience leading high-performing teams.

• Proven track record of delivering complex distributed systems, platform services, or enterprise software at scale.

• Engineering
• Vancouver, Canada

The DataHub team is a geo-dispersed organization focused on enabling secure access to enterprise knowledge through scalable data ingestion, governance, search, and retrieval services. The platform serves as the foundation for enterprise AI experiences by connecting and securing access to information across SaaS applications, cloud services, and enterprise systems.

As the Senior Engineering Manager, you will lead a distributed team of engineers and technical leads while partnering closely with Product Management, Security, Infrastructure, and AI platform teams.

You will report to the Technical Director and play a key role in shaping the organization's engineering strategy, execution, and talent development.

• Engineering
• Vancouver, Canada
• 33034

Are you a seasoned engineering leader passionate about building high-performing teams and delivering innovative AI-powered data platforms at scale? Join Nutanix to lead the DataHub team, responsible for developing an enterprise data hub and identity middleware platform that powers secure enterprise search, data retrieval, knowledge discovery, and AI applications.

As a Senior Engineering Manager, you will lead a team of talented engineers developing mission-critical services for data ingestion, identity-aware retrieval, security governance, enterprise search, and AI infrastructure. You will drive technical strategy, execution excellence, organizational growth, and engineering culture while collaborating closely with Product Management, Architects, and executive leadership.

This is a highly visible leadership role with significant impact on Nutanix's AI and enterprise data platform strategy.

• Strong background in backend systems, distributed systems, cloud-native architectures, and large-scale platform development.

• Experience leading teams building enterprise search, data platforms, knowledge management systems, AI infrastructure, or retrieval platforms.

• Strong understanding of modern software architecture, microservices, APIs, event-driven systems, and large-scale data processing.

• Experience with cloud platforms, Kubernetes, containers, storage platforms, and infrastructure automation.

• Understanding of Retrieval-Augmented Generation (RAG), vector databases, enterprise search technologies, and AI-powered information retrieval systems.

• Experience with data governance, metadata management, information security, and enterprise data access controls.

• Familiarity with machine learning, NLP technologies, and AI platform architectures is highly desirable.

• Strong understanding of authentication, authorization, RBAC/ABAC frameworks, data privacy, compliance, and enterprise security best practices.

• Experience building systems that protect sensitive information and support enterprise governance requirements.

• Demonstrated success building and scaling engineering teams.

• Strong coaching, mentoring, performance management, and talent development capabilities.

• Exceptional communication and stakeholder management skills with the ability to influence across organizational boundaries.

• Proven ability to lead through ambiguity and drive alignment across diverse teams and priorities.

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

The pay range for this position at commencement of employment is expected to be between CAD $209,000 and CAD $313,000 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

• Engineering
• Vancouver, Canada

• Engineering
• Vancouver, Canada

After all those discussions its time for both you and our hiring teams to make some decisions. Your Talent Advisor will be your main point of contact during this period. Be sure to keep them informed of any outstanding questions or timing milestones that are important to you.

We value standout performers, ambitious team players, and long-term thinkers who know how to connect the dots to get results. If you're a little customer obsessed, you've found your tribe. Are you a game changer? Let us see that in your application.

Our talent advisors review every application we receive and we'll follow up with next steps and guidance at every phase. Overall you can expect 1-2 rounds of talks with our hiring leaders after your initial chat with your Talent Advisor.