Interested in joining one of Canada&#x2019;s top-performing asset managers? We are seeking a Head of Platform Engineering, Reliability &amp; Control to lead our horizontal engineering function and shared control plane. In this role, you will shape a more connected, observable, and automated technology ecosystem spanning data, integration, and front-to-back platforms. You will define the architecture, standards, and operating model for command-and-control capabilities, SRE practices, process orchestration, release governance, and automation. Partnering closely with Infrastructure, Security, Service Desk, Data, and platform teams, you will improve reliability, transparency, and change governance across the enterprise. Success will be measured by stronger platform stability, faster incident detection and recovery, more predictable releases, and reduced manual effort. We operate on a hybrid model with three days a week in-office to facilitate team collaboration. What You Will Do <ul><li>Own and evolve the enterprise control plane architecture, establishing a scalable command-and-control layer that provides real-time visibility into system health, dependencies, data flows, and operational risk. </li><li>Define and implement SRE and observability standards, enabling proactive monitoring, faster incident detection, improved root cause analysis, and consistent reliability practices across distributed systems and platforms. </li><li>Lead release governance and change management frameworks, ensuring deployments are predictable, auditable, and aligned with risk and compliance expectations across a complex, regulated technology environment. </li><li>Drive enterprise-wide automation by implementing AI-enabled monitoring and process orchestration capabilities that reduce manual intervention, improve signal quality, and increase operational efficiency at scale. </li><li>Improve integration reliability across APIs, event streams, batch workflows, and vendor platforms, reducing failure rates, improving SLA adherence, and strengthening end-to-end data pipeline performance. </li><li>Standardize developer experience by establishing common tooling, CI/CD pipelines, infrastructure patterns, and engineering practices that enable teams to build, test, and deploy systems consistently and efficiently. </li><li>Partner with Infrastructure, Security, Service Desk, Data teams, and external vendors to improve production health, reduce incident frequency, and minimize the blast radius of operational failures. </li><li>Establish and track performance metrics including SLOs, MTTR, deployment frequency, and automation rates, using insights to continuously improve platform reliability, scalability, and change predictability. </li></ul>What You Bring <ul><li>Proven senior leadership experience in platform engineering, SRE, DevOps, or engineering operations, with a track record of building and scaling shared engineering capabilities across complex, federated technology environments. </li><li>Deep expertise in at least two areas such as SRE/observability, platform engineering, systems integration, release engineering, or process automation, with the ability to apply them pragmatically at enterprise scale. </li><li>Strong understanding of distributed systems architecture, including APIs, event-driven design, data flows, and cross-system dependencies, with experience improving resilience and performance across interconnected platforms. </li><li>Hands-on experience implementing CI/CD pipelines, infrastructure as code, containerization, orchestration platforms, and modern deployment strategies that enable frequent, reliable, and low-risk software releases. </li><li>Proficiency with observability and monitoring tools such as Datadog, Grafana, Prometheus, ELK/OpenSearch, or cloud-native platforms, with experience designing enterprise-wide telemetry and alerting strategies. </li><li>Experience operating within regulated environments, designing and implementing change controls, audit-ready processes, and governance frameworks that balance risk management with engineering velocity. </li><li>Familiarity with workflow orchestration and process intelligence tools such as ServiceNow, Jira, Camunda, Temporal, or similar platforms, along with a practical understanding of AIOps and automation trends. </li><li>A structured, engineering-led leadership style with strong stakeholder management skills, capable of influencing across teams and driving alignment without introducing unnecessary bureaucracy or slowing delivery </li></ul>The salary range for this position is $170,000 - $185,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process. For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.&#x202F; CC&amp;L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.&#x202F;We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact talentacqusition@cclgroup.com if you require accommodation. Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.

Head of Platform Engineering, Reliability & Control

Does working with Data motivate and excite you? Do you want to make a difference cross functionally? Then Jobber might be the place for you! We&#x2019;re looking for a new Staff Data Engineer to join our Data Platform Team. Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn&#x2019;t like it used to be&#x2014;the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That&#x2019;s why we put the power and flexibility in their hands to run their businesses how, where, and when they want! Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada&#x2019;s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail&#x2019;s Canada&#x2019;s Top Growing Companies list, and Deloitte Canada&#x2019;s Technology Fast 50&#x2122;, Enterprise Fast 15, and Technology Fast 500&#x2122; lists. With an Executive team that has over thirty years of industry experience of leading the way, we&#x2019;ve come a long way from our first customer in 2011&#x2014;but we&#x2019;ve just scratched the surface of what we want to accomplish for our customers. We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals. The team: The Data Integration team&apos;s mission is to empower teams across Jobber with the right data, at the right time, in the right place, so they can deliver business value better and faster. Key responsibilities include: data ingestion and Change Data Capture (CDC), including materializing CDC streams into tables in Snowflake; data activation (egress); managing the systems involved in the movement and transformation of data; self-serve tooling; and data integrity and governance. The role: As a Staff Data Engineer, you will play a critical role in shaping the future of data integration at Jobber. As a technical champion and force multiplier, you&#x2019;ll lead and mentor a team of exceptional data engineers while solving complex technical challenges. Your expertise will span architecture, technical leadership, design, and hands-on coding, enabling you to significantly influence the direction of data at Jobber. Beyond day-to-day delivery, you will dedicate time to work acceleration, cross-team initiatives, exploration of emerging technologies, addressing technical debt, and investing in the future of engineering at Jobber. This is a highly strategic and hands-on position where you&#x2019;ll combine deep technical expertise with leadership to design resilient systems, empower teams across the organization to self-serve with confidence, and ensure our data remains a trusted asset that accelerates business growth. As a Staff Data Engineer, you will: <ul><li>Shape Foundational Data Components: Design, build, and maintain scalable batch and real-time data pipelines, while also looking across systems and ahead to anticipate future needs. </li><li>Demonstrate Technical Mastery: Deliver high-quality solutions through deep expertise in modern data tools and technologies. Champion technical excellence within the team by setting best practices, raising the bar for engineering quality, and mentoring team members at all levels to support their growth and career development. </li><li>Drive Reliability &amp; Resilience: Establish testing and reliability standards, SLAs (uptime, RTO, RPO), and disaster recovery playbooks. Lead major reliability initiatives to minimize downtime and protect critical business data. </li><li>Advance Observability &amp; Governance: Build frameworks for monitoring, logging, lineage, and auditing to ensure visibility, compliance, and trust in data. Define governance policies that enforce data integrity, availability, and reliability across the platform. </li><li>Accelerate and Empower Data Access: Develop self-service tools, frameworks, and automation that reduce manual effort, improve efficiency, and enable teams across engineering, analytics, and data science to work effectively with data while minimizing dependency on the Data Platform team. </li><li>Contribute to Strategic Planning: Partner with Technical Program Managers to define and refine strategic roadmaps, ensuring that data engineering priorities align with business objectives. </li><li>Drive Cross-Team Collaboration: Collaborate with Staff Engineers and technical leaders across domains to identify friction points, and work collectively to design solutions that improve system reliability, consistency, and scalability. </li><li>Accelerate Business Growth: Work closely with data analysts, scientists, and product teams to enable fast, seamless exploration, analysis, modeling, and reporting. Build automation and infrastructure that reduce friction and accelerate decision-making. </li><li>Safeguard Data Integrity: Own the integrity and reliability of data, ensuring stakeholders across the organization maintain trust in the insights and decisions driven by it. </li><li>On-Call Rotation: Members of the Data Platform team participate in an on-call rotation, covering one week at a time. When an incident occurs outside of regular working hours, we provide time off in lieu to support healthy balance and recovery. From time to time, major maintenance work may require team members to serve as primary or secondary on-call support over a weekend. Jobber is committed to maintaining a fair, transparent, and humane on-call experience. Your interview team will be happy to walk you through how we manage on-call responsibilities in practice. </li></ul>To be successful, you should have: <ul><li>Core Data Engineering Expertise: Hands-on experience with batch and real-time data processing frameworks, lakehouse/warehouse management, large-scale data transformation, data serialization, workflow orchestration and dimensional modeling (star/snow-flake schemas)</li><li>Scalable Systems Development: Proven ability to design and deliver highly scalable, maintainable, and high-performance solutions across multiple layers of the technology stack, leveraging containerization, CI/CD, and API development. </li><li>AWS Cloud Proficiency: Strong understanding of AWS services relevant to the data domain, with hands-on experience leveraging them to design and implement data solutions. </li><li>Technical Leadership &amp; Engineering Excellence: Demonstrated success guiding teams through complex, high-impact projects while providing architectural direction and serving as a trusted technical lead. Exceptional proficiency in software design, system architecture, and coding, with a focus on long-term maintainability, performance, and resilience. </li><li>Reliability &amp; DevOps Practices: Strong background in infrastructure-as-code (Terraform, CloudFormation), observability (logging, monitoring, tracing), and system reliability. </li><li>Collaboration &amp; Adaptability: Exceptional communication skills, self-motivation, and resourcefulness, with the ability to navigate ambiguity, prioritize effectively, and deliver results in fast-paced environments. </li></ul>It would be really great (but not a deal-breaker) if you had: <ul><li>Machine Learning Platform Experience: Exposure to ML platforms and distributed compute frameworks (e.g., Ray, TensorFlow, PyTorch). Experience collaborating with Data Scientists to operationalize models, implement drift detection, or scale ML workloads. </li><li>Cross-Domain Engineering Experience: Hands-on exposure to non&#x2013;data engineering codebases, such as web application frameworks (Ruby on Rails) and modern front-end stacks (TypeScript/React). </li><li>API &amp; Integration Knowledge: Familiarity with GraphQL, API layer design, and performance optimization. </li><li>Platform Building Experience: Prior work on developer tooling or shared platforms that supported multiple engineering domains. </li><li>Governance &amp; Compliance Awareness: Knowledge of data privacy, security, and compliance in cloud-based data environments. </li><li>Knowledge of data privacy, security, and compliance considerations in a cloud-based data environment. </li></ul>Compensation: At Jobber, we also believe that compensation should be transparent, fair, and supportive of your experience and growth. This role has a minimum annual salary of $169,200 CAD, a midpoint of $199,100 CAD and a maximum salary of $228,900 CAD, designed to reflect the progression from learning the ropes to truly excelling. We design our compensation to reflect each new hire&apos;s skills, experience, and the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual&apos;s current capabilities and their opportunity for future growth. Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You&apos;ll have access to a dedicated talent development program that includes career coaching and opportunities for career development. We believe in transparency and open conversations about compensation. If you have any questions about our approach, we&apos;re happy to discuss them throughout the hiring process! What you can expect from Jobber: <ul><li>A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options. </li><li>A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential. </li><li>A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet. </li><li>To work with a group of people who are humble, supportive, and give a sh*t about our customers. </li></ul>We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process. A bit more about us: Job by job, we&#x2019;re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We&#x2019;re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they&#x2019;re successful we all win!

Latest Remote Jobs inVancouver, British Columbia·Engineering

Head of Platform Engineering, Reliability & Control

Head of Platform Engineering, Reliability & Control

Staff Data Engineer

Staff Data Engineer

Latest Remote Jobs in
Vancouver, British Columbia·Engineering