DevOps Engineer (USA)

Reposted 10 Days Ago
8 Locations
In-Office or Remote
150K-175K Annually
Senior level
Aerospace
The Role
The DevOps Engineer will manage cloud infrastructure, ensure platform reliability, automate tasks, and collaborate with engineers on ML Ops, focusing on code deployment.
Summary Generated by Built In
About DroneDeploy
DroneDeploy powers field teams with robotics and AI. As the only reality capture platform that combines robotic automation, AI agents, and a truly unified system, DroneDeploy allows critical industries to operate with speed and confidence.

From construction and energy to agriculture, the world’s largest companies use DroneDeploy to simplify field operations, improve safety, and make smarter decisions, faster. By combining aerial drones, 360 and fixed cameras, ground robots and proprietary AI, we’re bringing the power of automation and visual intelligence to all stakeholders, from the field to the boardroom.

At DroneDeploy, we thrive in a mostly remote-first culture rooted in innovation and impact. We’ve been recognized as a Best Place to Work in the SF Bay Area and named one of America’s Great Places to Work—but what truly sets us apart is the experience you gain: solving real-world challenges with cutting-edge technology, surrounded by teammates who are as passionate as they are supportive. Our team is bold, mission-driven, and building something that matters. We foster a culture where a variety of perspectives drive smart decisions, and where growth—both personal and professional—is part of the journey. Whether it’s flexible schedules, family-friendly benefits, or our strong track record of internal promotions, we invest in people as much as we do in product. If you’re looking to be part of something ambitious, authentic, and transformative, you’ll find your place at DroneDeploy.

Role Summary
We're looking for a DevOps Engineer to join our team. In this role, you'll manage our cloud infrastructure and take ownership of the platform's reliability. You'll also have the opportunity to collaborate with engineers on ML Ops, helping us deliver new AI capabilities. Finally, you'll partner with our development teams to streamline code deployment and champion observability across our systems.

Work Environment
 > Work Hours: Available to work at least four hours within US Pacific Time (9 AM - 5 PM) and participate in an on call rotation for emergencies.
> Work Model: 100% remote, but the candidate must be based in the U.S. 
> Work Travel: Occasional domestic travel for company events or team gatherings.

AI Use & Candidate Authenticity Disclaimer
At DroneDeploy, we value authenticity and integrity in our hiring process. While AI tools can be helpful for preparation, using them to misrepresent your skills, identity, or presence, such as altering your voice, appearance, or background, is not acceptable. Candidates are expected to present themselves truthfully and authentically at all stages. Any form of deception, including masking your identity or falsifying your qualifications, will result in disqualification from the process.

Responsibilities:

  • Enhance the reliability, performance, and usability of our infrastructure and related systems.
  • Automate repetitive tasks to improve efficiency and accuracy. 
  • Have a mind for simplifying unnecessary complexity.
  • Work closely with teams across engineering to promote a culture of collaboration and shared responsibility.
  • Empathize with the people who use the systems we build.
  • Excel at critical thinking and adapt to new situations.
  • Anticipate future problems, without over-engineering the present.
  • Share your expertise with others, but never stop learning new things.
  • Address support tickets as assigned.
  • Participate in an on-call rotation to troubleshoot production issues.

Requirements:

  • Familiarity with at least one major cloud provider (AWS, Azure, or GCP).
  • Experience writing and maintaining software applications (not just scripts), especially with Python or Golang.
  • Solid experience with Terraform or another IaC tool.
  • Hands-on experience building and maintaining CI/CD pipelines in GitHub Actions, Jenkins, CircleCI or other platforms.
  • Strong knowledge of Docker and experience with container orchestration (Kubernetes a plus).
  • Experience with Linux system administration.
  • Excellent problem-solving and troubleshooting skills.

#LI-Remote

Employee Offerings & Benefits
(Benefits may vary by location and role)
These are just some of the perks you'll enjoy—there's more to discover once you join us!

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.

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DroneDeploy is an equal opportunity employer.

All DroneDeploy employees are responsible for protecting the company and customer data by following information security policies and procedures.

Please refer to our Recruitment Privacy Notice for information about privacy during the recruiting process.

Top Skills

AWS
Azure
CircleCI
Docker
GCP
Github Actions
Go
Jenkins
Kubernetes
Linux
Python
Terraform
Am I A Good Fit?
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The Company
San Francisco, CA
179 Employees
Year Founded: 2013

What We Do

Trusted by leading brands globally, DroneDeploy is transforming the way businesses leverage drones and aerial data across industries, including agriculture, construction, mining, inspection and surveying. Simple by design, DroneDeploy enables professional-grade imagery and analysis, 3D modeling and more from any drone on any device.

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