Senior DevOps Engineer (USA)

DroneDeploy powers field teams with robotics and AI, enabling critical industries to operate efficiently. The Senior DevOps Engineer will be responsible for managing cloud infrastructure, leading CI/CD improvements, and supporting AI capabilities within the organization.

Responsibilities:

• Own key areas of DroneDeploy’s cloud infrastructure, improving reliability, performance, and usability of the platform and related services
• Design, build, and evolve infrastructure-as-code to provision and manage scalable, secure environments used across engineering teams
• Lead improvements to CI/CD pipelines and release workflows (e.g., GitHub Actions, Jenkins, CircleCI), creating templates and tooling that make deployments faster, safer, and more consistent for product teams
• Champion observability by implementing and refining monitoring, logging, alerting, and dashboards that give teams clear visibility into system health and customer impact
• Partner with engineers across multiple product areas to streamline code deployment, promote a culture of collaboration and shared responsibility, and define “golden paths” for how services are built, tested, and operated
• Identify areas of operational toil or fragility and implement durable automation and process improvements that reduce recurring incidents and support burden
• Participate in the production support rotation, including incident response, troubleshooting high-impact issues, and contributing to post-incident reviews and follow‑through actions
• Contribute to ML Ops efforts by collaborating with AI-focused teams on running machine learning processes in the cloud, supporting model training, evaluation, and related infrastructure needs when required
• Share expertise through code reviews, documentation, pairing, and mentoring, helping other engineers adopt best practices in infrastructure, deployment, and reliability while continuously learning new tools and techniques
• Use AI tooling in day‑to‑day engineering work (e.g., code generation, test scaffolding, troubleshooting) and provide feedback that helps improve how DroneDeploy uses AI across R&D

Requirements:

• Extensive experience working with at least one major cloud provider (AWS, Azure, or GCP) to design, deploy, and operate production systems
• Experience operating Kubernetes clusters in the cloud at scale
• Strong experience writing and maintaining software applications (not just scripts), with proficiency in Python and/or Golang and comfort contributing to shared repositories and services
• Solid hands-on experience with infrastructure-as-code such as Terraform (or similar tools like Pulumi or CloudFormation) to manage complex environments
• Proven track record building, maintaining, and improving CI/CD pipelines using platforms such as GitHub Actions, Jenkins, CircleCI, or comparable solutions
• Strong Linux system administration fundamentals, including networking, performance tuning, and security basics in a cloud-native environment
• Demonstrated ability to troubleshoot complex production issues spanning application, infrastructure, and third-party services, using observability tools and structured problem-solving
• Experience collaborating closely with software engineering teams, influencing patterns and practices through clear communication, documentation, and enablement rather than formal authority
• Comfort operating in distributed, remote teams, taking initiative to move projects forward independently, surface tradeoffs, and propose solutions in areas like CI/CD, reliability, or cost efficiency
• No specific drone certification is required for this role