Senior DevOps Engineer (USA)

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.