Senior DevOps Engineer (USA)

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.

Additional Information

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 Overview 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. #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. ---- 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.

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