AI DevOps, Reliability Engineer

🕒 July 1

🇨🇦 Canada – Remote

💵 $123k - $160k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 5%

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Logo of Branch

Branch

201 - 500 employees

📣 Marketing

☁️ SaaS

🤝 B2B

💰 $300M Series F - Branch on 2022-02

Marketing • SaaS • B2B

Branch is a growth and measurement platform that provides mobile attribution, deep linking, link management, QR codes, in-app banners, and AI-powered marketing tooling to connect click-to-conversion journeys. The company emphasizes accurate cross-channel measurement and fraud prevention for apps and web, serving advertisers and growth teams with integrations across major ad, analytics, and engagement platforms. Branch is positioned as a B2B SaaS partner for brands (trusted by 100,000 brands and a 3. 5 billion-user network) focused on improving acquisition, engagement, and revenue through reliable linking and attribution.

📋 Description

• Design and expand deployment automation • Establish release practices and standards • Extend automation deeper into production paths • Enable verification through automation • Own CI/CD standards across teams • Build pipeline tooling for safe engineering paths • Design and build out environments that mirror production • Bring AI tooling into operations • Champion Infrastructure as Code for provisioning • Operate and tune high-volume data infrastructure • Embed with an assigned engineering team day-to-day • Stand up DORA metrics and use them for improvements

🎯 Requirements

• Hands-on experience adopting AI into DevOps and SRE practices (Claude Code, Cursor, agents, or similar) • 7+ years in DevOps, platform, infrastructure, or related engineering roles • Strong hands-on Kubernetes and AWS experience • Deep IaC experience (Terraform and/or CloudFormation) • Proven CI/CD architecture experience: pipelines, quality gates, release automation • GitOps experience with Argo CD (or Flux) for Kubernetes delivery • Hands-on experience operating streaming infrastructure (Kafka) in production • Experience managing SQL and NoSQL datastores at high volume • Solid scripting/automation skills (Python, Bash, or similar) • Working knowledge of observability stacks: Prometheus, Grafana, PagerDuty • Familiarity with on-call, incident response, SLI/SLO definition, and runbooks

🏖️ Benefits

• Comprehensive benefits package • Health and wellness programs • Paid time off • Retirement planning options • 10% annual bonus tied to company goals

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