[Hiring] Senior DevOps Engineer @DroneDeploy

Role Description

The Senior DevOps Engineer is a key member of DroneDeploy’s DevOps organization, partnering closely with software engineering teams to ensure our platform is reliable, scalable, and efficient for customers across construction, energy, agriculture, and other field-based industries.

Reporting to the Manager of DevOps, this role focuses on:

• Owning complex areas of our cloud infrastructure.
• Leading improvements to our CI/CD pipelines.
• Building the internal tools that keep code shipping smoothly and safely.

This person will operate at the forefront of cloud infrastructure and AI-enabled features, driving the rollout of AI tooling across the organization. Responsibilities include:

• Enabling developer teams to integrate AI into their workflows.
• Managing the end-to-end MLOps lifecycle.
• Ensuring the robust evaluation and reliability of our primary product’s AI capabilities.

They will regularly navigate technical ambiguity, evaluate multiple approaches, and drive projects from design through rollout with limited oversight, shaping reliability, observability, and developer experience across the engineering organization.

Work Environment

• Work Model: Remote (work from home).
• Time Zone & Collaboration: Collaborate with a distributed DevOps team across US, UK, and New Zealand, with an expectation to overlap at least four hours with US Pacific Time (9 AM – 5 PM) most days and to participate in an on-call rotation for production emergencies.
• Business Travel: Occasional domestic travel (typically no more than once per quarter) for company events or team gatherings, subject to business needs.
• AI tooling: Engineering, including DevOps, uses AI tools extensively to boost productivity and quality.

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.

Qualifications

• 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.

Benefits

• Culture of Innovation & Collaboration: Thrive in an environment that values creativity and teamwork.
• Drone Certification: Get certified and gain unique, hands-on skills with our full backing.
• Flexible Work Arrangements: Enjoy autonomy with remote-first options and schedule flexibility.
• Paid Family Leave: Take the time you need to support your family during life’s most important moments.
• Comprehensive Healthcare Coverage: Plans designed to support your well-being.
• Career & Growth Development: Build new skills and unlock opportunities through continuous learning.
• Flexible PTO: Take time off when you need it to recharge—we trust you to manage your time well.
• Employee Referral Bonus: Know someone great? Refer them and earn a bonus when they join our team.