Remote Devops engineer — developer infrastructure Jobs – 93 Openings This Week

Senior AI Platform Engineer
Alpaca —Waterloo, ON
- Remote
- DevOps
- APIs
- AI
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Director, Infrastructure & SRE
TailorCare —Montréal, QC
- On call
- Remote
- Salesforce
- DevOps
- AWS
- Disability insurance
- Dental care
9d
Staff Software Applications Engineer - Toronto (010257)
Extreme Networks —Thornhill, ON
- $120,000–$140,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Employee stock purchase plan
- Dental care
Quick apply
Sr. Backend Java Developer
VersaFile —Vancouver, BC
- $105,000–$130,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Database Administrator (SQL Server & Cloud)
R3V0LT Solutions Inc. —Mississauga, ON
- $95,000–$105,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
- Dental care
- Work from home
Quick apply
Architect Software Developer
Quantiphi —Fredericton, NB
- Full-time
- Azure
- DevOps
- Java
6d
Senior Cloud Platform Engineer
Insight Enterprises —Toronto, ON
- Remote
- Azure
- DevOps
- APIs
1d
Principal Associate Software Engineer - International Card Tech - Backend
Capital One —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
5d
Senior Data Engineer
Alpaca —Waterloo, ON
- Remote
- DevOps
- SQL
- APIs
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Senior Content Engineer
Platform.sh —Remote
- Remote
- DevOps
- English
- APIs
- Paid time off
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Staff Software Engineer, Qualcomm AI Runtime
Qualcomm —Markham, ON
- $131,200–$181,200 a year
- Computer science
- Doctoral degree
- Computer Science
Senior Solutions Architect
Remote Woman —Remote
- Remote
- DevOps
- Project management
- Scripting
- Paid time off
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Databricks Data Architect, Deloitte Global Technology
Deloitte —Toronto, ON
- $85,000–$156,000 a year
- Remote
- Azure
- Computer Science
- Schematics
Senior Solutions Architect
Platform.sh —Remote
- Remote
- DevOps
- Project management
- Scripting
- Paid time off
Quick apply
Platform Engineering Manager
WCG International Consultants Ltd. —Toronto, ON
- $120,000–$130,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Dental care
Quick apply
Tech Lead - Fullstack
Xsolla —Remote
- Full-time
- Remote
- Azure
- DevOps
- System design
- Dental care
- Paid time off
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Senior Full Stack Developer
CoLab Software —St. John's, NL
- Full-time
- Remote
- DevOps
- System design
- Databases
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Principal Software Engineer - Platform, Identity and BI
Calabrio —Vancouver, BC
- On call
- Remote
- DevOps
- Java
- SQL
- Designated paid holidays
- Disability insurance
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Senior Software QA Specialist
Engineered Intelligence Inc. —Mississauga, ON
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Paid time off
- Flexible schedule
Quick apply
5d

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Intermediate Automation Engineer
Miipe Inc —Markham, ON
Analyze business and functional requirements to design comprehensive test plans and robust test cases. Design, develop, and maintain automated test scripts and…
$60,000–$65,000 a year
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DevOps Engineer - 6 Months Contract
Venterra Realty —Richmond Hill, ON
Strong understanding of cloud architecture, deployment strategies, and DevOps best practices. Collaborate with AI, Data, and Development teams to implement…
$70–$80 an hour
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5d

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Senior AI Platform Engineer

Alpaca -
Waterloo, 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 self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.

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 9 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 top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 380+ 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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Refine Your Search

devops engineer — developer infrastructure jobs in remote

Senior AI Platform Engineer

Director, Infrastructure & SRE

Staff Software Applications Engineer - Toronto (010257)

Sr. Backend Java Developer

Database Administrator (SQL Server & Cloud)

Architect Software Developer

Senior Cloud Platform Engineer

Principal Associate Software Engineer - International Card Tech - Backend

Senior Data Engineer

Senior Content Engineer

Staff Software Engineer, Qualcomm AI Runtime

Senior Solutions Architect

Databricks Data Architect, Deloitte Global Technology

Senior Solutions Architect

Platform Engineering Manager

Tech Lead - Fullstack

Senior Full Stack Developer

Principal Software Engineer - Platform, Identity and BI

Senior Software QA Specialist

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