À Domicile Devops engineer Jobs – 133 Openings This Week

Senior AI Platform Engineer
Alpaca —Toronto, ON
- Remote
- DevOps
- APIs
- AI
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DevOps & Infrastructure Developer | Multiplayer FPS ~ Développeur DevOps et infrastructure | FPS multijoueur
Ironbelly Studios —Montréal, QC
- Call to connect
- Hybrid work
- DevOps
- AWS
- Python
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Engineering Manager, Platform
Shakepay —Toronto, ON
- $209,000–$253,000 a year
- On call
- Remote
- DevOps
- English
- AWS
- Dental care
- Paid time off
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Senior Software Engineering Manager, Managed Gateways SREs
Kong —Toronto, ON
- $175,000–$245,000 a year
- Full-time
- Remote
- Azure
- DevOps
- AWS
7d
Senior Machine Learning Operations Developer: AI/ML Platform
Autodesk —Toronto, ON
- $123,000–$180,400 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Responsable du développement et de l’exploitation (DevOps), Déploiement des applications d'entreprise (T et I) (télétravail/hybride)
CBC/Radio-Canada —Montréal, QC
- Full-time
- Remote
- Bilingual
- Azure
- Computer Science
Director, Infrastructure & SRE
TailorCare —Montréal, QC
- On call
- Remote
- Salesforce
- DevOps
- AWS
- Disability insurance
- Dental care
Développeur·se DevSecOps - DevSecOps Developer
TobogganLabs —Montréal, QC
- Remote
- Azure
- DevOps
- English
- Disability insurance
- Dental care
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8d
Dynatrace Observability Consultant - Bilingual (FR)
Arctiq —Montréal, QC
- Full-time
- Remote
- Bilingual
- Azure
- Oracle
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Senior Application Security Engineer
ANVIL —Ottawa, ON
- $125,000–$165,000 a year
- Full-time
- Remote
- Bilingual
- Computer Science
- DevOps
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Développeur·se DevOps senior - Senior DevOps Developer
TobogganLabs —Montréal, QC
- Remote
- Azure
- DevOps
- English
- Disability insurance
- Dental care
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Développeur·euse plateforme senior - Senior Platform Developer
TobogganLabs —Montréal, QC
- Remote
- Azure
- DevOps
- English
- Disability insurance
- Dental care
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Full Stack Developer - DevOps & Cloud Systems
BrightOrder Inc. —Canada
- $95,000–$115,000 a year
- Full-time
- Remote
- Oracle
- DevOps
- Databases
- Dental care
- Vision care
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DevOps & Infrastructure Developer | Multiplayer FPS ~ Développeur DevOps et infrastructure | FPS multijoueur
Ironbelly Studios —Montréal, QC
3 à 5 ans d'expérience ou plus en DevOps/infrastructure/SRE. Infrastructure AWS dans Terraform (EKS, VPC, EC2, CloudFront).
Quick apply
Senior Software Engineering Manager, Managed Gateways SREs
Kong —Toronto, ON
Proficiency in Golang or similar modern programming languages for infrastructure automation and service development.
$175,000–$245,000 a year
7d

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DevOps Engineer
OceanMD —Toronto, ON
At OceanMD, your aspirations will be supported with access to education, certification and increased accountability in this individual contributor role.
$110,000–$130,000 a year
Cloud DevOps Engineer
Tangentia —Toronto, ON
Bachelor's degree in Computer Science or related technical field (e.g. Engineering, Mathematics, Physics), or equivalent practical experience.
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9d

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devops engineer jobs near à domicile

Senior AI Platform Engineer

Alpaca -
Toronto, ON

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Job details

Qualifications

Law
Kubernetes
DevOps
Google Cloud Platform
APIs
AI
Communication skills

Full job description

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!

We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role

Alpaca is building an AI Enablement function to move the company from scattered AI experimentation to durable, company-wide productivity gains. As Senior AI Platform Engineer, you will own the technical capability layer that makes that possible.

You will build and maintain the platform infrastructure, connectors, execution patterns, and self-service tooling that lets engineering and business teams use AI safely at scale by turning one-off setups and ad hoc tooling into reusable infrastructure, secure deployment standards, and productized onboarding.

This role requires hands-on experience building with agentic AI systems. This is not classical ML pipelines, but the emerging stack of LLM-powered agents, tool use, evaluation loops, and autonomous workflow execution. You should know this space well enough to make opinionated decisions about execution patterns, isolation boundaries, and what "safe and reliable" actually means for agents with real tool access.

This is a startup-inside-a-scaleup role. You will need to move fast with limited resources while meeting the standards a regulated fintech environment requires. You will work closely with DevOps, Security, IT, and engineering teams across the company.

Things You Get To Do

Own the connector and service integration layer that powers AI workflows across the company.
Design and ship execution environments for agents and higher-autonomy AI workflows, including isolation boundaries and access controls.
Build reusable platform services, golden paths, and self-service templates that reduce setup friction for teams building on AI.
Productize onboarding so it works reliably for both developers and non-developers without depending on manual intervention or tribal knowledge.
Define and enforce technical standards for agent execution, evaluation loops, and deployment.
Partner with Security and IT to ship deployable patterns for higher-risk AI capabilities.
Own the AI governance layer: access controls, audit trails, approval criteria, and deployment boundaries for agentic workflows.
Set the reliability, observability, and operational bar for AI-specific infrastructure.
Act as the technical escalation point when onboarding or platform issues block rollout.
Reduce the company's dependence on individual heroics by turning exception handling into repeatable paths.

Who You Are (Must-Haves)

8+ years in software, platform, infrastructure, or adjacent engineering roles.
Hands-on experience building agentic AI systems: LLM-powered workflows, tool-calling agents, evaluation loops, or autonomous execution — using frameworks like the Claude SDK, Google Agent Development Kit (ADK), LangGraph, or similar. Not classical ML or data pipelines.
Direct experience with GCP. We run on Google Cloud and you should be comfortable there.
Strong experience with APIs, auth, OAuth, secrets, CLI tooling, and deployment patterns.
Cloud-native systems experience with containers, orchestration (Kubernetes), and infrastructure-as-code.
Experience implementing AI governance controls: access boundaries, audit logging, approval workflows, and safe deployment standards for higher-autonomy systems.
Comfortable operating in both fast-moving, low-process environments and more structured, compliance-aware ones. You know when to move fast and when to slow down.
Strong bias toward simplification, standardization, and operational reliability over clever one-off solutions.
Excellent communication skills with the ability to work across engineering, security, and non-technical stakeholders.

Who You Might Be (Nice-to-Haves)

Shipped production agentic systems with real external tool access (filesystems, APIs, staging systems).
Hands-on experience with Google Agent Engine (Vertex AI Agent Builder) or equivalent managed agent execution platforms.
Direct experience with AI-native coding environments (eg. Cursor, Claude Code). You have strong opinions on how these tools fit into a real engineering workflow.
Designed or operated agent sandboxing, isolation, or evaluation frameworks.
Built self-service developer platforms or golden paths used by multiple teams.
Has startup experience and knows how to build durably with limited resources.
Familiarity with fintech, regulated environments, or compliance-aware deployment.

How We Take Care of You:

Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Recruitment Privacy Policy

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devops engineer jobs in à domicile

Senior AI Platform Engineer

DevOps & Infrastructure Developer | Multiplayer FPS ~ Développeur DevOps et infrastructure | FPS multijoueur

Engineering Manager, Platform

Senior Software Engineering Manager, Managed Gateways SREs

Senior Machine Learning Operations Developer: AI/ML Platform

Responsable du développement et de l’exploitation (DevOps), Déploiement des applications d'entreprise (T et I) (télétravail/hybride)

Director, Infrastructure & SRE

Développeur·se DevSecOps - DevSecOps Developer

Dynatrace Observability Consultant - Bilingual (FR)

Senior Application Security Engineer

Développeur·se DevOps senior - Senior DevOps Developer

Développeur·euse plateforme senior - Senior Platform Developer

Full Stack Developer - DevOps & Cloud Systems

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