Senior DevOps Engineer

Orca has been providing freight audit and analytics services to its’ growing client base since 2016. We have experienced tremendous growth since inception and are proud to offer our solution to some of North America’s largest organizations. Orca processes Billions of dollars in freight invoices each year for clients and provides invaluable reporting and analysis to help our clients operate more efficiently. Orca was awarded London’s prestigious ‘Medium Business of the Year’ award in 2024 by the London Chamber of Commerce for tremendous growth and community involvement. Job Summary The successful candidate will be responsible for helping modernize Orca’s infrastructure and platform across our Azure environment. Working closely with our Lead Data Engineer and IT team, this role will design and implement cloud infrastructure‑as‑code, build and maintain CI/CD pipelines, and establish a robust observability stack from the ground up. The candidate will act as a key enabler for engineering, data, and IT teams by improving reliability, security, and deployment speed. The successful candidate will bring strong Azure and DevOps experience, be comfortable working in a mixed environment (applications, data platforms, and legacy systems), and help move Orca toward more automated, repeatable, and well‑instrumented operations. Responsibilities The successful candidate will: Lead the design and implementation of Azure‑based infrastructure using Infrastructure as Code (IaC) (e.g., ARM/Bicep/Terraform) Build, maintain, and improve CI/CD pipelines in Azure DevOps for application and data platform deployments Design and implement a comprehensive observability stack in Azure, including logging, metrics, tracing, dashboards, and alerting Work closely with the Lead Data Engineer to support the new data platform’s infrastructure, deployment, and runtime operations Collaborate with IT to modernize existing environments, including migration from legacy/VM‑based setups to more scalable PaaS and managed services where appropriate Implement and maintain configuration management, environment consistency, and automated provisioning across dev/test/stage/prod Contribute to security, compliance, and reliability efforts by enforcing best practices for identity, access, network configuration, and secrets management Help define and track SLOs/SLAs for critical services, and support incident response and root‑cause analysis Optimize cloud resource usage and costs through right‑sizing, automation, and monitoring Create clear documentation, runbooks, and handover materials for IT and engineering teams Collaborate with internal teams and external partners to support broader platform modernization initiatives Leverage and, where appropriate, integrate with tools such as DataDog, GitHub, and .NET‑based services (nice to have) as required by Orca’s evolving technology stack Qualifications The ideal candidate will possess the following traits: 5+ years of experience in DevOps, Site Reliability Engineering, or a similar role Hands‑on experience with Microsoft Azure, including common services ( Service, Azure SQL, Storage, VNets, Key Vault, etc.) Strong background in Infrastructure as Code (IaC) using tools such as ARM/Bicep or Terraform Solid experience building and maintaining CI/CD pipelines in Azure DevOps and/or GitHub actions (AZDO) Proven experience designing and implementing observability from scratch in Azure (centralized logging, metrics, dashboards, alerts) Proficiency in at least one scripting or programming language (e.g., PowerShell, Bash, or Python) Strong understanding of networking, security, and identity in cloud environments (VNETs, NSGs, firewalls, RBAC, managed identities, secrets management) Experience working in production environments with a focus on reliability, performance, and incident response Ability to collaborate effectively with data, application, and IT teams, and communicate clearly with both technical and non‑technical stakeholders The following qualifications are not required, however would be considered a strong asset: Experience with DataDog or similar observability platforms Familiarity with .NET application stacks and deployment patterns Experience with GitHub (Actions, repos, security features) in addition to Azure DevOps Exposure to regulated or audited environments (e.g., SOC, ISO) Compensation RRSP contribution matching Fantastic benefits package Lifestyle Spending Account Complimentary cell phone plan Profit Based Bonus Plan Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Orca Intelligence by 2x Get notified about new DevOps Engineer jobs in London, Ontario, Canada. #J-18808-Ljbffr