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Full Stack Software Developer Contract Jobs in London, ON

CARFAX

Senior Software Engineer - Dev Ops

London, ON · On-site

AI Developer Platform - Own and contribute to the architecture and operations of interactive ... Observability & Reliability - Contribute to the full observability stack implementation - designing ...

CARFAX

Senior Software Engineer - Dev Ops

London, ON · On-site

AI Developer Platform -- Own and contribute to the architecture and operations of interactive ... Observability & Reliability -- Contribute to the full observability stack implementation ...

CARFAX

Senior Software Engineer - Dev Ops

London, ON · On-site

AI Developer Platform -- Own and contribute to the architecture and operations of interactive ... Observability & Reliability -- Contribute to the full observability stack implementation ...

Proton

Senior .NET Developer (Desktop/SDK)

London, ON · On-site

While this position is not a "full-stack" position, you will be expected to collaborate with ... Invest in test automation to improve the team's productivity and software delivery cadence. * Think ...

Proton

Senior Rust Engineer - Proton Drive

London, ON · On-site

... Stack and Tools: * We use standard tools for communication and work organization (Git, GitLab ... As a Senior Rust Developer on our team, you will play a crucial role in designing, implementing ...

Helsing

Radio Frequency Engineer

London, ON · On-site

You'll work across the full chain, from antenna and front-end design through to link budgets and EW ... Work closely with electronics, software, and systems engineers to ensure RF subsystems integrate ...

DV Trading

Senior AI Engineer

London, ON · On-site

The long-term result is a firm that controls its own AI stack. Job Responsibilities: * Build and ... Requirements: * 5+ years software engineering; strong Python * Production fine-tuning or ...

ECS Resource Group

Windows 11 Engineer

Salford, ON · On-site

Windows 11 Upgrade Engineer Location: Salford Contract Length: 45 Days Pay Rate: 160 Per Day Inside IR35 The Role I am working with a client who are a UK based Managed Services provider with an ...

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Full Stack Software Developer Contract information

See London, ON salary details

$34.5K

$99.8K

$153.2K

How much do full stack software developer contract jobs pay per year?

As of Sep 5, 2026, the average yearly pay for full stack software developer contract in London, ON is $99,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,979.00 and $118,685.00 per year, depending on experience, location, and employer.

What is a full stack software developer contract?

A Full Stack Software Developer Contract job is a temporary or project-based role where a developer is responsible for working on both the front-end and back-end of a software application. Contractors are typically hired for a set duration or until a project is completed and may work with multiple clients. They are expected to have expertise in various programming languages, frameworks, and databases to build and maintain complete web applications. This role often provides flexibility in work arrangements but requires strong problem-solving skills and adaptability to different tech stacks.

What are the key skills and qualifications needed to thrive as a full stack software developer contract?

A Full Stack Software Developer on contract needs proficiency in both front-end and back-end technologies, such as JavaScript frameworks, server-side languages, and databases, along with a solid understanding of software development principles. Familiarity with tools like Git, containerization platforms (e.g., Docker), CI/CD pipelines, and cloud services, as well as relevant certifications, is often expected. Excellent problem-solving abilities, adaptability, and strong communication skills are essential for efficiently collaborating in dynamic environments and managing multiple project requirements. These skills enable success in delivering high-quality, scalable solutions within set deadlines while meeting client or organizational needs.

What are some typical challenges faced by full stack software developers in contract roles?

Full Stack Software Developers working on contract often face the challenge of quickly adapting to new codebases and team workflows, as projects may vary widely between clients. They may need to work independently while also collaborating with in-house developers, designers, and project managers to align on technical and business requirements. Managing tight deadlines, prioritizing tasks, and learning unfamiliar technologies or systems on the fly are common aspects of the role. Adapting quickly and maintaining clear communication are key to ensuring successful project delivery and ongoing client satisfaction.

What are the most commonly searched types of Full Stack Software Developer jobs in London, ON?

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Full Stack Software Developer Contract jobs near you

Senior Software Engineer - Dev Ops

CARFAX

London, ON • On-site

Full-time

Medical, Retirement

Re-posted 12 days ago

Job description

Join Team CARFAX as a Senior Software Engineer - Dev Ops
We are looking for a seasonedSenior Software Engineer - Dev Opsto 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 aKubernetes-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 onAWS 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 ofAI/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.
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 theLGTM 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 isAWS- 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 withFlyteor comparable ML workflow orchestration platforms (Kubeflow, Airflow, Prefect, Metaflow)
Experience operatingJupyterHubor equivalent multi-user interactive compute platforms at scale
Familiarity withLLM-specific infrastructure- model serving frameworks (vLLM, Triton, TorchServe), GPU cluster management, large-scale distributed training setups
Hands-on experience withAWS(EKS, EC2 GPU families, S3, IAM, VPC) as our current primary cloud environment
Experience withFinOps 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:
Asystems thinkerwho 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
Deeplycurious 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 effectivecollaborator and communicatorwho 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 platformthat enables LLM development and productionization - your contributions will have immediate, measurable impact
Work ongenuinely hard infrastructure problems- GPU scheduling, large-scale distributed workloads, high-throughput model serving, and multi-tenant ML environments
Be positioned at theepicenter of the AI infrastructure space, one of the fastest growing and highest-demand engineering disciplines in the industry
Have aclear 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:
  • 13X Virginia Business Best Places to Work
  • 12X Washingtonian Great Places to Work
  • 9X Washington Post Top Workplace
  • 5X USA Today Top Workplace
  • 5X 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.
Employment Type: Full-Time

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