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CargoSprint

Empowering the people that make global commerce happen.

Director of DevOps, Site Reliability Engineering

DevOps EngineerDevOps EngineerFull TimeRemoteLeadTeam 201-500Since 2012H1B SponsorCompany SiteLinkedIn

Location

California

Posted

2 days ago

Salary

Not specified

Seniority

Lead

Bachelor Degree10 yrs expEnglishAWSAzureCloudDockerGoogle Cloud PlatformGrafanaKubernetesMySQLNoSQLPostgreSQLPrometheusRedisSQLTerraform

Job Description

• Lead and mentor a distributed team of DevOps, SRE, and Database engineers. • Architect and operate secure, scalable, and cost-efficient Azure Cloud environments. • Implement and optimize CI/CD pipelines, infrastructure as code (IaC), and observability platforms. • Champion AIOps and AI-driven tooling (e.g., GitHub Copilot, Azure DevOps AI, intelligent alerting) to improve developer productivity and operational efficiency. • Establish and enforce SRE practices — SLIs/SLOs, incident response, on-call processes, and postmortems. • Oversee performance, scalability, and reliability of PostgreSQL, MySQL, SQL Server, CosmosDB, and Redis databases in production. • Partner cross-functionally with product and engineering teams to align infrastructure with business priorities. • Drive cost optimization, disaster recovery, and security compliance initiatives.

Job Requirements

  • 10+ years of experience in DevOps, Infrastructure, or SRE roles, including 3+ years of leadership experience managing multiple teams.
  • Deep hands-on expertise with Azure Cloud, including networking, identity, security, and monitoring services.
  • Proficiency in Kubernetes, Docker, Terraform, Azure DevOps, and CI/CD ecosystems.
  • Proven experience managing relational and NoSQL databases at scale.
  • Experience building observability stacks with Prometheus, Grafana, ELK, or Azure Monitor.
  • Strong problem-solving, communication, and mentoring skills.
  • Track record of integrating AI tools to reduce toil and improve operational insights.
  • Nice to Have: Experience in multi-cloud environments (AWS or GCP). Familiarity with AIOps, MLOps, or GenAI-assisted automation. Experience working in regulated or enterprise-scale environments (e.g., finance, healthcare). Prior success in high-growth startups or scaling SaaS platforms.

Benefits

  • Medical, dental, and vision plans for you and your family
  • 401(k) with company match
  • Generous flexible PTO program and paid holidays
  • Professional development opportunities

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