Location
San Francisco HQ Office
Employment Type
Full time
Location Type
Hybrid
Department
Research & Development
R&D - Cloud
Compensation
$150K – $176K
We determine fair compensation for each position by considering market rates, qualifications, experience, and location.
This job posting reflects a salary range based on different levels within the position, which are primarily determined by location. Your interview performance will help us determine your base salary offer within this range.
Keep in mind that salary is just one piece of Hayden’s total compensation package. We also offer equity and a company-wide bonus plan. Additional benefits are shared as part of this job posting.

ABOUT US

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Robotics, Computer Vision, Electrical Engineering, or a related field.
• 3-5+ years of industry experience. Deep knowledge of Amazon’s AWS ecosystem at scale, including but not limited to EKS, S3, SQS, RDS, Cognito, Lambda, etc.
• Professional experience with Golang or Python, with a strong preference for Golang.
• Experience working with relational, time series, and document databases, including knowledge of SQL.
• Proven problem-solving skills; ability to take ownership of issues and driving towards resolution effectively.
• Knowledge of best practices in designing, using, and testing web services and APIs.
• Being comfortable in an agile, fast-paced environment; ability to organize chaos and leave things cleaner than you found them.

• Define, build, and operate the next generation of the backbone for our services architecture that is in use by all cloud services and all software engineers.
• Build and operate our CI/CD system for physical devices and cloud services.
• Use infrastructure as code to operate multi-region AWS deployment at scale.
• Practice and enforce best DevOPS, SRE, and Security practices across the whole engineering team.
• Work cross-functionally to gather requirements, build consensus on approaches, and develop appropriate technical solutions.
• Model best practices in the team, and raise the bar on incident prevention, response, and remediation.