Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.
We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.
Responsibilities:
- Manage model registries, continuous training loops, and A/B testing infrastructure.
- Deploy agents as scalable microservices on Kubernetes.
- Build observability dashboards to track token usage, latency, and agent reasoning paths.
Qualifications:
- Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
- Experience with MLflow, Weights & Biases, or LangSmith.
- Knowledge of building scalable microservice architectures.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.
Top Skills:
ArgocdAWSAzureBashCiliumCrossplaneDnsExternal Secrets OperatorGCPGithub ActionsGitlab CiGitopsGoGrafanaHelmIngressIstioKubernetesKyvernoLinkerdLoad BalancingLokiOpa/GatekeeperOpentelemetryPrometheusPythonSealed SecretsService MeshTektonTerraformVault
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.
Top Skills:
AWSBitbucketCi/CdConfluenceCypressDockerGitJavaJavaScriptJestJIRAMicroservicesMochaMySQLNode.jsPostgresPythonReactRest ApisTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own and grow the Toronto sales territory through extensive in-person outreach, business visits, live demos, partnerships, referrals, and full-cycle deal closing. Build pipeline, sell Square’s software and hardware to restaurants, retailers, and service businesses, maintain Salesforce activity and forecasts, support onboarding, and consistently exceed quota. The role requires field sales experience, reliable transportation, and residence in the assigned market.
Top Skills:
Payment Processing TechnologySalesforce
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
