DevOps Engineer

Chicago, Illinois, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial Intelligence, SoftwareIndustries

Requirements

Candidates must have familiarity with a major cloud provider such as AWS, Azure, or GCP. Experience writing and maintaining software applications, particularly in Python or Golang, is required, along with solid experience using Terraform or another Infrastructure as Code tool. Hands-on experience building and maintaining CI/CD pipelines and strong knowledge of Docker with experience in container orchestration, such as Kubernetes, are essential. Linux system administration experience and excellent problem-solving and troubleshooting skills are also necessary.

Responsibilities

The DevOps Engineer will enhance the reliability, performance, and usability of the company's infrastructure and related systems. Responsibilities include automating repetitive tasks to improve efficiency, simplifying complexity, and collaborating closely with engineering teams to foster a culture of shared responsibility. The role involves empathizing with system users, excelling at critical thinking and adaptation, anticipating future problems, and sharing expertise while continuously learning. Additionally, the engineer will address support tickets and participate in an on-call rotation to troubleshoot production issues.

Skills

Cloud Infrastructure Management

Platform Reliability

ML Ops

AI Capabilities

Code Deployment

Observability

DroneDeploy

Drone data collection and analysis platform

About DroneDeploy

DroneDeploy provides a platform for capturing data from physical environments using drones and robots. This platform collects data, which is then processed and analyzed with artificial intelligence to deliver insights. Businesses, particularly in construction and energy sectors, utilize these services for tasks like monitoring project progress and detecting methane leaks. The platform is compatible with various drones, sensors, and cameras, making it user-friendly and safe, while also reducing the need for manual inspections. Unlike competitors, DroneDeploy emphasizes data security, holding certifications like ISO 27001 and SOC 2 Type 2, and employs encryption methods to protect customer data. The company's goal is to offer a versatile solution for data collection and analysis, while also providing training, certifications, and technical support to enhance customer experience.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$138.7MTotal Funding

SERIES_ECompany Stage

Robotics & Automation, Industrial & Manufacturing, Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Make it happen

Build trust

Simplify

Risks

Increased competition in the drone software market could erode DroneDeploy's market share.

Rapid AI development may render DroneDeploy's current AI models obsolete if not updated.

Potential regulatory changes in drone usage could impact DroneDeploy's operations in key markets.

Differentiation

DroneDeploy offers a comprehensive platform for reality capture using drones and robots.

The company integrates AI for automated safety risk detection on construction sites.

DroneDeploy's platform is compatible with any drone, enhancing its versatility.

Upsides

The construction industry's adoption of digital twin technology boosts DroneDeploy's platform relevance.

Growing demand for drone-based inspections in energy aligns with DroneDeploy's capabilities.

Remote work trends increase the need for DroneDeploy's high-quality reality capture solutions.

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