London, On Business developer Jobs – 26 Openings This Week

Senior Software Engineer - Dev Ops
CARFAX —London, ON
- $92,500–$136,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Flexible schedule
Quick apply
Application Specialist - Factory Automation, Motion and Drives
Franklin Empire Inc —London, ON
- $70,000 a year
- Customer service
- English
- Microsoft Office
Quick apply
Director, ThAImis
ADR Chambers —London, ON
- From $125,000 a year
- Full-time
- Hybrid work
- Engineering
- Business development
- Bachelor's
- Wellness program
- Disability insurance
Quick apply
4d
Roofing Sales Representative (London, ON)
Empire Roofing —London, ON
- $100,000–$140,000 a year
- Full-time
- CRM software
- Sales
- Microsoft Office
Quick apply
Business Development Specialist - Utility Power
Graybar —Ontario
- $85,000–$95,000 a year
- Microsoft Excel
- Management
- Sales
- Profit sharing
- Disability insurance
Student, Robotic Process Automation Developer
General Dynamics Land Systems —London, ON
- $27.25–$27.75 an hour
- Computer Science
- Analysis skills
- C++
13d
Senior Software Developer
LYNKED Inc. —London, ON
- From $65,000 a year
- Full-time
- Hybrid work
- Databases
- SQL
- AWS
- Profit sharing
- Mileage reimbursement
Quick apply
4d
Senior Full Stack Engineer - Electronic Arts [EAFS260703]
Hatch —Ontario
- $130,000–$170,000 a year
- Full-time
- DevOps
- AWS
- APIs
- Disability insurance
- Paid time off
Quick apply
11d
Business Intelligence Report Developer
Buckland —St. Thomas, ON
- $60,000–$73,000 a year
- Full-time
- Remote
- Bilingual
- Spanish
- Computer Science
Quick apply
Software Developer
IVEY BUSINESS SCHOOL —London, ON
- $65,733–$82,115 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Salesforce
- Disability insurance
- Dental care
Quick apply
11d
Software Developer
ERSM Insurance Brokers - Correduría de Seguros —London, ON
- $78,000–$85,000 a year
- Full-time
- Azure
- DevOps
- Java
Quick apply
2d
Account Manager - Existing Installations
Schindler —London, ON
- $62,000–$75,000 a year
- Engineering
- Microsoft Office
- Business
- Dental care
- Tuition reimbursement
Backend Software Engineer
Trackunit —London, ON
- $90,000–$115,000 a year
- Hybrid work
- Computer Science
- Engineering
- Java
6d
Software Developer (Senior)
STEP Software —London, ON
- Hybrid work
- Computer Science
- Engineering
- English
- Flexible schedule
Technical Business Developer
JSI Research Chemicals Inc/JSI Advanced Therapeutics Research Inc/JSI Specialty Chemicals Inc —London, ON
- From $55,000 a year
- Part-time
- Sales
- Manufacturing
- Communication skills
Quick apply
9d
Senior .NET Developer
Recutify Inc. —London, ON
- Weekends as needed
- Computer Science
- Engineering
- SQL
Quick apply
Senior Software Engineer - Professional Services
Trackunit —London, ON
- Hybrid work
- Computer Science
- Engineering
- Java
MAS 9 Developer
XCIS AI —Canada
- $90,000 a year
- Temporary
- Remote
- Oracle
- Computer Science
- DevOps
Quick apply
4d
Sales Representative - Engineering Services
Demand For HR —Canada
- Hybrid work
- CRM software
- Sales
- Engineering
Quick apply

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Développeur senior / Analyste en systèmes d'affaires - Senior Developer / Business Systems Analyst
Ciot Inc. —Toronto, ON
Sous la responsabilité du Directeur, TI et PMO, le développeur senior / analyste en systèmes d'affaires sera responsable du soutien, de l'amélioration et de…
From $105,000 a year
Quick apply
Unity Developer
Allied Technical Solutions —Scarborough, ON
Strong time management skills, including the ability to prioritize or deprioritize feature development based on external business requirements.
$80,000–$95,000 a year
Quick apply

I want to receive the latest job alerts for business developer in london, on

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

business developer jobs near london, on

Senior Software Engineer - Dev Ops

CARFAX -
London, ON

Quick apply

Job details

Full-time
$92,500–$136,000 a year

Qualifications

CI/CD
Cloud infrastructure
Azure
Go
Law
Kubernetes
DevOps
Google Cloud Platform
AWS
Terraform
Computer networking
GitHub
S3
AI
Communication skills
Python
Identity & access management

Full job description

Join Team CARFAX as a Senior Software Engineer - Dev Ops

We are looking for a seasoned Senior Software Engineer - Dev Ops 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.

Quick apply

Refine Your Search

business developer jobs in london, on

Senior Software Engineer - Dev Ops

Application Specialist - Factory Automation, Motion and Drives

Director, ThAImis

Roofing Sales Representative (London, ON)

Business Development Specialist - Utility Power

Student, Robotic Process Automation Developer

Senior Software Developer

Senior Full Stack Engineer - Electronic Arts [EAFS260703]

Business Intelligence Report Developer

Software Developer

Software Developer

Account Manager - Existing Installations

Backend Software Engineer

Software Developer (Senior)

Technical Business Developer

Senior .NET Developer

Senior Software Engineer - Professional Services

MAS 9 Developer

Sales Representative - Engineering Services

Explore jobs in cities nearby

I want to receive the latest job alerts for business developer in london, on

Explore jobs in more locations

Job seeker tools

Employer Tools

Browse

Stay Connected