Director of DevOps, Site Reliability Engineering

🕒 March 18

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Logo of CargoSprint

CargoSprint

201 - 500 employees

Founded 2012

🚗 Transport

🛍️ eCommerce

💳 Fintech

Transport • eCommerce • Fintech

CargoSprint is a leading provider of innovative payment and workflow solutions specifically designed for the cargo industry. Their offerings, including SprintPay and SprintPass, streamline cargo operations by facilitating efficient payment transactions and optimizing pickup and drop-off processes for freight handlers and truck drivers. With a focus on enhancing visibility, efficiency, and customer experience, CargoSprint leverages technology to modernize the logistics sector, ensuring fast and secure services tailored to the unique needs of the cargo community.

📋 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.

🎯 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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