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Added 41 mins ago
C(
PLC and Robotics Supervisor
CenterLine (Windsor) Limited
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- $47 to $56 CAD / hour
- Full-time
You will gain extensive process and product experience to expand your knowledge and personal development in a family-oriented culture that promotes engagement and work/life balance.
Added 56 mins ago
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Senior Engineering Manager
Nutanix
Vancouver, BC
- $209,000 to $313,000 CAD / year
- Full-time
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,…
Added 1 hour ago
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Job Title: Specialist, Sourcing, R&D and New Product Introduction
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Applied AI/ML Scientist
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Senior AI/ML Engineer
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Added 2 hours ago
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POS Integration & Implementation Engineer – Retail (Data)
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Sr Mgr, Cred Risk Acquisition
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Toronto, ON
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Added 3 hours ago
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Senior Project Manager
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Technical Sales and Field Service Engineer
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Senior Business Systems Analyst
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Vancouver, BC · Greater Vancouver, BC
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Added 7 hours ago
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Director, Global Marketing & Sales Enablement
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Bolton, ON
- Full-time
Lead a centralized market intelligence and research capability serving Sales, Product Line Management, Strategy, Investor Relations, and executive leadership.
Added 8 hours ago
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Technical Solutions Lead
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- Full-time
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Added 8 hours ago
Sr Mgr, Cred Risk Acquisition
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Senior Staff Software Engineer
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Senior Engineering Manager, Enterprise CI for Games
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Nutanix

Senior Engineering Manager

Vancouver, BC, Canada

$209,000 to $313,000 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $209,000 to $313,000 CAD / year
Job type: Full-time
Apply by: Dec 12, 2026
Experience: 10+ years of software engineering experience with 3+ years of engineering management experience leading high-performing teams.
Posting language: English
Posted: Nov 12, 2026

Original job description

Senior Engineering Manager – DataHub Platform

Hungry, Humble, Honest, with Heart.

The Opportunity

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.

About The Team

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.

Your Role

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.

What You Will Bring

Education & Experience

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.

Technical Leadership

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.

AI, Search & Data Platforms

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.

Security & Governance

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.

People Leadership

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.

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More about this job

Responsibilities

Lead and grow the Vancouver DataHub engineering team, setting technical and organizational roadmaps and delivering secure data ingestion, enterprise search, retrieval, governance, and AI platform services. Partner across product, security, infrastructure, and AI teams while developing talent, strengthening engineering practices, and improving reliability and operational performance.

Requirements

Requires a bachelor's or master's degree in computer science, engineering, or a related technical field, at least 10 years of software engineering experience, and at least 3 years of engineering management experience. Candidates should have experience leading teams that build distributed platforms at scale, with knowledge of cloud-native systems, enterprise search or data platforms, AI retrieval, security governance, and people leadership.

Skills

Engineering Leadership
Distributed Systems
Cloud-Native Architecture
Backend Systems
Enterprise Search
Data Platforms
Retrieval-Augmented Generation
Vector Databases
Kubernetes
Microservices
Large-Scale Data Processing
Data Governance
Identity and Access Management
Security and Authorization
Team Development
Operational Excellence

Benefits

Sign-On Bonus
Restricted Stock Units
Discretionary Awards
Medical Benefits
Financial Benefits
401(k)
Vacation
Sick Time
Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

DataHub
Enterprise Data Hub
Identity Middleware
Distributed Systems
Cloud-Native Architecture
Backend Systems
Microservices
APIs
Event-Driven Systems
Kubernetes
Containers
Infrastructure Automation
Enterprise Search
Retrieval-Augmented Generation
Vector Databases
AI Infrastructure
Machine Learning
Natural Language Processing
Data Ingestion
Data Governance
Metadata Management
Identity-Aware Retrieval
Authentication
Authorization
RBAC
ABAC
Security
Observability
Service-Level Objectives
Incident Management

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Jobs in Canada