CargoSprintRemote
Director of DevOps and Site Reliability Engineering (SRE)
United States of America
Full-time
1 month ago
H1B Sponsor Likely
Key skills
Azure CloudKubernetesCI/CDDatabase ManagementAIOpsInfrastructure as CodeObservability StacksProblem-solvingCommunicationMentoringSQLNoSQLAIGenAIMLOpsAWSAzureGCPTerraformDockerAzure DevOpsAzure MonitorPostgreSQLMySQLRedisSQL ServerPrometheusGrafanacargoGitHubSaaSLeadership
About this role
CargoSprint is a company dedicated to transforming the cargo industry through innovative digital solutions. They are seeking a hands-on Sr. Engineering Manager to lead their DevOps, Site Reliability Engineering (SRE), and Database teams, focusing on building scalable and secure cloud infrastructure while fostering a culture of reliability and automation.
Responsibilities:
- 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
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
- 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