Senior DevOps Engineer, DroneDeploy
More information about location
Drone mapping & analytics platform
Open for applications
Drone mapping & analytics platform
201-500 employees
Open for applications
More information about location
201-500 employees
Company mission
To make the power of interactive digital twins accessible and productive for everyone.
Role
Who you are
- 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
What the job involves
- 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, and building the internal tools that keep code shipping smoothly and safely
- This person will operate at the forefront of cloud infrastructure and ML-enabled features, helping to support our primary product and new AI capabilities, including work in ML Ops, model training, and evaluation
- This person will operate at the forefront of cloud infrastructure and AI-enabled features, driving the rollout of AI tooling across the organization. You will be instrumental in enabling developer teams to integrate AI into their workflows, managing the end-to-end MLOps lifecycle, and 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
- 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
- AI tooling: Engineering, including DevOps, uses AI tools extensively to boost productivity and quality. This role is expected to actively use AI-assisted coding and analysis tools and to experiment with new AI workflows in areas like CI/CD, observability, and ML Ops so we can measure and raise AI adoption across R&D
- 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
Our take
Drone Deploy, headquartered in San Francisco, is a cloud-based platform specializing in drone mapping and analytics. With a mission to revolutionize how businesses acquire, manage, and interpret reality capture data from drones, 360-degree cameras, and mobile ground robots.
The company is dedicated to staying at the forefront of innovation within the drone industry, and it consistently seeks out opportunities to broaden the horizons of its capabilities. The company's strategic acquisitions, such as Rocos and StructionSite, are pivotal in achieving this goal.
With substantial investments, Drone Deploy is well-positioned for further expansion, and has aims to diversify beyond the drone sector and intensify its efforts to build a strong to presence in Europe. In 2025, the company announced it had reached break-even, which bodes very well for its future operations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Sep 2025
$15m
GROWTH EQUITY VC
Feb 2021
$50m
SERIES E
Total funding: $157.6m
Company benefits
- Hybrid Workplace - We believe that people do best when they're happy at work. Whether you’re happiest working from home or want to join us in the office, it’s OK with us
- Great Benefits - It's important to support physical and mental well-being, so we offer the kind of benefits that help meet employee needs and those of their dependents
- Growth and Development - We're in a dynamic and innovative industry and we’re committed to investing in our employees to ensure they're growing, creating, and breaking new ground in their careers
- Work/Life Balance - Time away from work is important to recharge your batteries and enjoy life. We provide flexible hours and paid time off, and work with employees to support their priorities
Company HQ
Showplace Square, San Francisco, CA
Leadership
Jono Millin
(Chief Data Officer & Co-Founder)Previously founded AdvertEyes, Zoomatelo, Infatics.
Michael Winn
(CEO & Co-Founder)Previously served as the Tech Lead of Big Data & Tools and Large Customer Sales for Google. Also co-founded Zoomatelo.
Nicholas Pilkington
(CTO & Co-Founder)Previously co-founded Luno. Experience as a Software Engineer for Toshibi and NVIDIA.
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