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Senior Power Platform Developer Jobs in Lucan, ON

CARFAX

Senior Software Engineer - Dev Ops

London, ON · On-site

At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can ... AI Developer Platform - Own and contribute to the architecture and operations of interactive ...

StackandCo

Senior DevOps Engineer

Dublin, ON · On-site

\n \n \n Senior DevOps Engineer Senior DevOps Engineer required for leading client in Dublin. You ... Help us run our Ruby on Rails platform and manage fast growth \n * Participate in engineering ...

ResMed

Senior Database Developer - MongoDB

Dublin, ON · On-site

About the Role We are seeking for a Senior Database Developer with strong expertise in MongoDB and ... Support migrations and interoperability across different RDBMS platforms. Required Skills ...

New

Voices

Senior Software Engineer

London, ON · Hybrid

... that power critical workflows for our customers and internal teams. In this role, you'll take ... our platform remains scalable, reliable, and maintainable as it grows. You'll apply strong full ...

Voices

Senior Software Engineer

London, ON · Hybrid

... that power critical workflows for our customers and internal teams. In this role, you'll take ... our platform remains scalable, reliable, and maintainable as it grows. You'll apply strong full ...

Voices

Senior Software Engineer

London, ON · Hybrid

... that power critical workflows for our customers and internal teams. In this role, you'll take ... our platform remains scalable, reliable, and maintainable as it grows. You'll apply strong full ...

DV Trading

Senior AI Engineer

London, ON · On-site

... Production LLM-powered agent systems shipped (not demos) - Experience integrating agents with ... Firm-wide platform or standards work - Multi-model environments (Claude, GPT, etc.) - Agent ...

Danaher

Senior Business Solutions Architect

London, ON · On-site +1

Serve as the technical leader for the CRM Analytics platform by establishing development standards ... developers and analysts on CRM Analytics and Power BI best practices. * Drive innovation by ...

Proton

Senior Foundation Engineer (Drive)

London, ON · On-site

As it evolves into a true platform, we expect more teams to emerge-each owning different verticals ... that power Proton Drive applications. You will work collaboratively with Drive teams, including ...

ZTR

Senior Firmware Developer

London, ON · On-site

As the Sr. Firmware Developer, you will be leading the creation of our low level embedded systems ... Strong foundation in firmware development of battery-powered and low-power embedded devices with ...

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Senior Power Platform Developer information

What is a senior Power Platform developer?

A Senior Power Platform Developer is an experienced professional who designs, develops, and implements solutions using Microsoft Power Platform, which includes Power Apps, Power Automate, Power BI, and Power Virtual Agents. They are responsible for building custom business applications, automating workflows, integrating data sources, and supporting digital transformation initiatives within organizations. Senior developers also mentor junior team members, ensure best practices, and often collaborate with stakeholders to gather requirements and deliver effective solutions. Their expertise helps organizations streamline processes and improve productivity using low-code/no-code tools.

What are the key skills and qualifications needed to thrive as a senior Power Platform developer?

To thrive as a Senior Power Platform Developer, you need expertise in Microsoft Power Platform (Power Apps, Power Automate, Power BI), proficiency in programming languages like JavaScript and C#, and substantial experience with database management and solution architecture. Familiarity with tools like Azure, Dataverse, and experience with certifications such as Microsoft Power Platform Developer Associate (PL-400) are highly valued. Strong problem-solving abilities, effective communication, and collaborative skills set top performers apart in this field. These competencies are essential for designing, implementing, and optimizing complex business solutions that drive digital transformation and efficiency.

What are some common challenges faced by senior Power Platform developers when integrating Power Platform solutions with legacy systems?

Senior Power Platform Developers often encounter challenges when integrating Power Apps, Power Automate, or Power BI with older or on-premises systems that may lack modern APIs or standardized data formats. Addressing compatibility issues, ensuring data security, and maintaining reliable data synchronization can be complex and require creative problem-solving. Collaboration with IT infrastructure teams and thorough testing are essential to ensure seamless integration and minimize disruptions to existing business processes.

What is the difference between Senior Power Platform Developer vs Power Platform Consultant?

AspectSenior Power Platform DeveloperPower Platform Consultant
Required CredentialsMicrosoft Power Platform certifications, experience in Power Apps, Power Automate, Power BISimilar certifications, often with additional consulting or project management credentials
Work EnvironmentDevelopment teams, IT departments, technical projectsClient-facing, project-based, consulting firms or internal business units
Employer & Industry UsageTech companies, enterprises implementing Power Platform solutionsConsulting firms, system integrators, large organizations
Search & Comparison IntentTechnical roles, development tasks, coding expertiseSolution design, client interaction, project management

The main difference between a Senior Power Platform Developer and a Power Platform Consultant lies in their focus. Developers primarily build and customize Power Platform solutions, while consultants focus on client needs, solution design, and project delivery. Both roles require similar certifications and industry experience, but their day-to-day tasks and work environments differ.

What cities near Lucan, ON are hiring for Senior Power Platform Developer jobs?

Cities near Lucan, ON with the most Senior Power Platform Developer job openings:

Senior Power Platform Developer jobs near you
Infographic showing various Senior Power Platform Developer job openings in Lucan, ON as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Platform Engineer - ML Infrastructure

CARFAX

London, ON

Full-time

Medical, Retirement

Re-posted 10 days ago

Job description

Join Team CARFAX as a Senior Platform Engineer - ML Infrastructure
 
We are looking for a seasoned Senior Platform Engineer - ML Infrastructure to join our platform team and take an active role in designing, scaling, and operating the infrastructure that powers Large Language Model (LLM) development and hosting. This is a high-impact, highly technical position where you will own critical platform components, drive architectural decisions, and directly shape the reliability, performance, and security of our AI infrastructure.
 
At its core, this is a Kubernetes-first, cloud-native platform engineering role. We care deeply about your ability to architect and operate scalable, resilient infrastructure for LLM workloads — the specific cloud or tooling you've built that experience on is secondary. Our current platform runs on AWS with EKS, Flyte, ArgoCD, JupyterHub, and the LGTM observability stack, and you'll be working within that environment — but we are far more interested in the depth of your platform thinking than in a specific vendor background.
 
If you are an engineer who thrives at the intersection of AI/ML and cloud-native infrastructure, who gets excited about solving the unique scaling and operational challenges that LLM workloads demand, and who wants to work on technology that sits at the absolute cutting edge of the AI industry — this role was built for you.
 
At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 2 days in the London, ON office per week, subject to change with future business needs. One last thing: Our four-day week continues in Summer 2026! 
 
What You'll Own:
 
LLM Platform Architecture — Actively participate in the design and evolution of the core infrastructure platform supporting LLM training, fine-tuning, and inference workloads at scale, contributing architectural decisions that balance performance, cost, and reliability across the full platform lifecycle.
 
Kubernetes & Advanced Autoscaling — Own the design and implementation of sophisticated K8s autoscaling strategies (HPA, VPA, KEDA, Cluster Autoscaler) tailored to the highly variable and GPU-intensive demands of LLM workloads. Our current environment is EKS, though equivalent production Kubernetes experience on GKE, AKS, or on-prem is equally valued.
 
ML Workflow Orchestration — Participate in the engineering and optimization of ML pipeline infrastructure, contributing to best practices for pipeline design, resource allocation, and workflow reliability across LLM training and evaluation workloads. We currently use Flyte — experience with comparable platforms such as Kubeflow, Airflow, or Prefect translates well.
 
AI Developer Platform — Own and contribute to the architecture and operations of interactive compute environments used by AI researchers and LLM engineers to develop, experiment, and prototype. We run JupyterHub today, though experience with equivalent multi-user ML development platforms is directly applicable.
 
CI/CD & GitOps — Participate in the development and ongoing improvement of GitOps workflows and CI/CD pipelines, contributing to deployment best practices and enabling rapid, reliable delivery of platform changes. Our current implementation uses ArgoCD — strong experience with GitOps principles and comparable tooling is what matters.
 
Observability & Reliability — Contribute to the full observability stack implementation — designing dashboards, defining SLOs, building alerting frameworks, and ensuring deep visibility into LLM workload performance and platform health. We use the LGTM stack (Loki, Grafana, Tempo, Mimir) — experience with Prometheus, OpenTelemetry, ELK, Datadog, or equivalent platforms is welcomed.
 
Cloud Infrastructure — Participate in cloud infrastructure design across compute (including GPU instance families), storage, networking, and IAM, with a strong emphasis on cost optimization and operational excellence. Our primary cloud is AWS — candidates with strong GCP or Azure backgrounds who are prepared to work in AWS are encouraged to apply.
 
Security & Compliance — Engage actively in the vulnerability assessment and remediation program across all platform components, contributing to security standards and ensuring the LLM platform meets organizational and regulatory compliance requirements.
 
Collaborative Engineering — Participate in technical design reviews, contribute to roadmap discussions, and serve as a knowledgeable resource and collaborative partner across AIOps and MLOps disciplines
 
Required Experience & Skills:
 
7+ years of experience in DevOps, Platform Engineering, MLOps, or a closely related infrastructure discipline.
 
Deep Kubernetes expertise — production experience operating Kubernetes at scale on any major managed platform (EKS, GKE, AKS) or on-premises, with advanced knowledge of scheduling, autoscaling, networking, RBAC, and cluster operations.
 
Cloud infrastructure proficiency — extensive experience designing and operating production workloads on at least one major cloud provider (AWS, GCP, or Azure), covering compute, storage, networking, and identity and access management
 
MLOps / AI Infrastructure experience — demonstrated experience building and operating infrastructure that supports ML training, model serving, or LLM workloads, including GPU resource management and scheduling at scale
 
CI/CD & GitOps — strong hands-on experience with GitOps principles and modern CI/CD pipeline design, using any mainstream tooling (ArgoCD, Flux, GitHub Actions, Tekton, or equivalent)
 
Observability Engineering — production experience designing and operating observability platforms including metrics, logging, and distributed tracing, using any modern stack (Grafana/LGTM, Prometheus, Datadog, ELK, or equivalent)
 
Infrastructure as Code — strong proficiency with Terraform, Helm, or comparable IaC and configuration management tooling.
 
Programming & Scripting — solid coding ability in Python and/or Go, with experience writing automation, tooling, and infrastructure integrations.
 
Security Mindset — hands-on experience with vulnerability scanning, remediation workflows, and cloud security best practices including RBAC hardening and secrets management
 
Strongly Preferred:
Direct experience with Flyte or comparable ML workflow orchestration platforms (Kubeflow, Airflow, Prefect, Metaflow)
Experience operating JupyterHub or equivalent multi-user interactive compute platforms at scale
Familiarity with LLM-specific infrastructure — model serving frameworks (vLLM, Triton, TorchServe), GPU cluster management, large-scale distributed training setups
Hands-on experience with AWS (EKS, EC2 GPU families, S3, IAM, VPC) as our current primary cloud environment
Experience with FinOps practices — cloud cost attribution, rightsizing, and spot/preemptible instance strategies for ML workloads
Relevant certifications: CKA / CKS, AWS/GCP/Azure Solutions Architect or DevOps Engineer, or equivalent
Who You Are:
A systems thinker who understands how architectural decisions ripple across reliability, performance, cost, and security — regardless of which cloud or tooling stack those decisions are made within
Operationally minded — you build things to be observable, maintainable, and resilient from day one
Deeply curious about AI and LLMs — you understand why the infrastructure you build matters and stay current with how the AI landscape is evolving
Proactive and ownership-driven — you identify problems before they become incidents and drive solutions to completion
An effective collaborator and communicator who can translate complex infrastructure concepts for AI researchers, data scientists, and engineering leadership alike
Comfortable operating with autonomy in a fast-moving environment where priorities evolve alongside the AI landscape
 
Why This Role Stands Out:
LLM infrastructure is one of the most technically demanding and strategically important engineering domains in the industry today. As a senior member of our AIOps team you will:
Directly shape the platform that enables LLM development and productionization — your contributions will have immediate, measurable impact
Work on genuinely hard infrastructure problems — GPU scheduling, large-scale distributed workloads, high-throughput model serving, and multi-tenant ML environments
Be positioned at the epicenter of the AI infrastructure space, one of the fastest growing and highest-demand engineering disciplines in the industry
Have a clear voice in technical direction — your experience and opinions on platform design are genuinely valued and actively sought
Bring your full experience to the table — whether you've built on AWS, GCP, Azure, or hybrid environments, your platform engineering expertise is what drives impact here
 
What’s in it for you: 
  • Competitive Compensation: Attractive salary, comprehensive benefits, and generous time-off policies. 
  • Flexible Work Schedules: Enjoy 4-day summer work weeks and a winter holiday break. 
  • Retirement Support: 401(k) / DCPP matching. 
  • Performance Rewards: Annual bonus program to recognize your contributions. 
  • Innovative Workspace: Casual, dog-friendly offices designed for creativity and collaboration. 
 
Hear from our Team: Our accolades speak for themselves:
  • 10X Virginia Business Best Places to Work
  • 9X Washingtonian Great Places to Work
  • 9X Washington Post Top Workplace
  • St. Louis Post-Dispatch Best Places to Work
Vacancy Status:
This posting is for an existing vacancy.
 
Base Salary:
The anticipated base salary range for this position is CAD $92,500 to $136,000 annually. Final base salary will be determined based on geographical location, experience, and qualifications.
 
Benefits:
Join a company that values your total wellbeing. Carfax offers competitive compensation, comprehensive healthcare coverage, and the chance to make a meaningful impact in an industry-leading organization.  Our benefit offerings can be found at: CARFAX Careers.
 

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