ZipRecruiter

Log In

1

Full Stack Developer Contract Jobs in London, ON

Parsons

Highway Engineer - MTO

London, ON · Hybrid

CA$61K - CA$111K/yr

... full potential. Unleash your talent and redefine what's possible. Overview: The Highway Engineer ... preparation, contract document preparation, construction cost estimate development, and ...

Parsons

Senior Highway Engineer - MTO

London, ON · Hybrid

... your full potential. Unleash your talent and redefine what's possible. Overview: The Senior ... preparation, contract document preparation, construction cost estimate development, and ...

Parsons

Civil Engineering Technologist - MTO

London, ON · Hybrid

CA$26.44 - CA$50.48/hr

... your full potential. Unleash your talent and redefine what's possible. Overview: The Highway ... preparation, contract document preparation, construction cost estimate development, and ...

ZTR

Vice-President of Engineering

London, ON · On-site

As the VP of Engineering, you will lead diverse development and technology teams, provide strategic ... and contract negotiations * Proven experience bearing full financial accountability for ...

ZTR

Vice-President of Engineering

London, ON · On-site

As the VP of Engineering, you will lead diverse development and technology teams, provide strategic ... and contract negotiations * Proven experience bearing full financial accountability for ...

CIMA+

Internal Project Controller

London, ON · On-site +1

... your full potential in an environment that's engineered for people. At CIMA+, we care about our ... Coordinate interactions with clients, subconsultants and suppliers (contracts, purchase orders ...

Parsons

Project Manager - MTO

London, ON · Hybrid

... your full potential. Unleash your talent and redefine what's possible. Overview: The Project ... You will lead a team of Highway Engineers and Design Specialists, and work on a variety of ...

Bre-Ex Construction Inc.

Project Manager

London, ON

Review project scope and provide value engineering prior to and during construction * Prepare full ... Maintain detailed knowledge of prime contract, provincial and municipal specifications * Manage a ...

Pure Staffing Solutions

Project Manager

Woodstock, ON

CA$100K - CA$125K/yr

... full lifecycle - from tendering, quotations, and technical proposal development to execution ... engineers, planners, procurement, quality, and support staff to ensure projects are completed ...

Carmeuse

Environmental Area Manager

Ingersoll, ON · On-site

CA$120K - CA$159K/yr

Comprehensive benefits package that includes Health, Dental, Vision, and a full pension plan ... Work with operations and engineering to understand process emissions and develop data. * Interact ...

BakerHicks

Planner - HV

London, ON · On-site

This role will focus on developing, maintaining, and analysing project schedules across engineering ... Full UK driving licence and flexibility to attend project sites as required Why BakerHicks ...

Parsons

Construction Inspector - London, ON

London, ON

CA$32.64 - CA$56.68/hr

... full potential. Unleash your talent and redefine what's possible. Are you an experienced ... The successful candidate will conduct daily inspections to determine contract adherence and ...

next page

Showing results 1-20

All JobsFull Stack Developer Contract JobsFull Stack Developer Contract Jobs in London, ON

Full Stack Developer Contract information

See London, ON salary details

$8

$52

$87

How much do full stack developer contract jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for full stack developer contract in London, ON is $52.09, according to ZipRecruiter salary data. Most workers in this role earn between $39.84 and $61.42 per hour, depending on experience, location, and employer.

What are some common challenges Full Stack Developers face when working on contract projects?

As a contract Full Stack Developer, you may encounter challenges such as adapting quickly to new codebases, tools, and team workflows, since contract roles often require rapid onboarding. Balancing front-end and back-end tasks within tight deadlines can be demanding, especially when project requirements change or are not clearly defined. Additionally, frequent communication with both technical and non-technical stakeholders is essential to ensure alignment and successful project delivery. Staying organized and proactive in managing your workload will help you handle these challenges effectively.

Is full stack worth it in 2026?

Full Stack Developer roles are expected to remain valuable in 2026 due to ongoing demand for versatile developers skilled in both front-end and back-end technologies like JavaScript, Python, and cloud platforms. Continuous learning of frameworks, tools, and certifications can enhance job prospects in this evolving field.

How much do freelance full stack developers make?

Freelance full stack developers typically earn between $50 and $150 per hour, depending on experience, location, and project complexity. Annual income can range from $50,000 to over $150,000 for experienced professionals working on high-demand projects or with specialized skills in frameworks like React or Node.js.

Is fullstack developer still in demand?

Full stack developers remain in high demand due to their ability to work on both front-end and back-end development, with skills in frameworks like React, Angular, Node.js, and databases. Companies seek these versatile developers for building and maintaining web applications, especially in fast-paced tech environments and remote work settings.

Will Fullstack be replaced by AI?

Full Stack Developers perform a range of tasks that involve problem-solving, creativity, and understanding user needs, which are difficult for AI to fully replicate. While AI tools can assist with coding and automation, human oversight and expertise remain essential for designing, integrating, and maintaining complex applications. Therefore, Full Stack Developer roles are likely to evolve rather than be completely replaced by AI.

What is a Full Stack Developer Contract?

A Full Stack Developer Contract refers to a temporary or project-based employment arrangement where a developer is responsible for both front-end and back-end aspects of web or software development. Full stack developers are skilled in multiple technologies, enabling them to handle databases, servers, systems engineering, and client-facing interfaces. Contract roles often provide flexibility for both the employer and the developer, and can range from short-term projects to longer engagements. These positions are typically filled by experienced professionals who can quickly adapt to different technologies and project needs.

What are the key skills and qualifications needed to thrive as a Full Stack Developer on contract, and why are they important?

To thrive as a Full Stack Developer on contract, you need strong proficiency in both front-end (e.g., JavaScript, HTML/CSS, frameworks like React or Angular) and back-end (e.g., Node.js, Python, Java, databases) development, typically demonstrated through a relevant degree or portfolio. Familiarity with version control systems (like Git), CI/CD pipelines, cloud platforms (AWS, Azure), and sometimes certifications in specific technologies is highly valued. Excellent problem-solving, time management, and communication skills help you collaborate effectively and deliver results within tight deadlines. These abilities ensure you can independently manage diverse project requirements and consistently deliver high-quality, scalable software solutions for clients.

What is the difference between Full Stack Developer Contract vs Front End Developer Contract?

AspectFull Stack Developer ContractFront End Developer Contract
Required SkillsProficiency in both front-end and back-end technologies, databases, server managementExpertise in HTML, CSS, JavaScript, UI/UX design, front-end frameworks
Work EnvironmentDevelops complete applications, often involved in both client and server-side tasksFocuses on user interface, visual elements, and client-side functionality
Common UsageUsed across startups, tech companies, and agencies needing versatile developersPrimarily in front-end design agencies, web development firms, and client-facing projects

Full Stack Developer Contract roles require a broad skill set covering both front-end and back-end development, making them suitable for versatile projects. Front End Developer Contract positions focus specifically on user interface and experience. Understanding these differences helps employers and freelancers choose the right role for their needs.

What are the most commonly searched types of Full Stack Developer jobs in London, ON? The most popular types of Full Stack Developer jobs in London, ON are:
What are popular job titles related to Full Stack Developer Contract jobs in London, ON? For Full Stack Developer Contract jobs in London, ON, the most frequently searched job titles are:
What job categories do people searching Full Stack Developer Contract jobs in London, ON look for? The top searched job categories for Full Stack Developer Contract jobs in London, ON are:
What cities near London, ON are hiring for Full Stack Developer Contract jobs? Cities near London, ON with the most Full Stack Developer Contract job openings:
Full Stack Developer Contract jobs near you
Infographic showing various Full Stack Developer Contract job openings in London, ON as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $108,350 per year, or $52.1 per hour.
Senior Platform Engineer - LLM and AI Infrastructure

Senior Platform Engineer - LLM and AI Infrastructure

CARFAX

London, ON

Full-time

Medical, Retirement

Posted 15 days ago

Job description

Join Team CARFAX as a Senior Platform Engineer - LLM and AI Infrastructure
 
We are looking for a seasoned Senior Platform Engineer - LLM and AI 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.
 

Apply