Senior Software Engineer, Infrastructure
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Key skills for this role
Role Overview
The Infrastructure Engineering team connects thousands of field-deployed devices with large-scale, multi-region cloud services and applications.
The role supports the underlying infrastructure used by Hayden AI products.
Key Skills for This Role
Full Job Posting
Work Arrangement
- The listed location is the San Francisco HQ office.
- The location type is hybrid.
Compensation
- The compensation range is $175,579–$228,253.
- The position offers equity and a company-wide bonus plan.
Benefits and Perks
- The company offers learning and development opportunities across technical and operational fields.
- Medical, dental, and vision coverage options are available for US employees and dependents.
- The benefits package includes FSA and DCFSA options, a 401(k) with 3% company matching, and unlimited PTO.
- Daily catered lunches are provided in the San Francisco office.
About Hayden AI
Hayden AI develops computer vision and mobile perception systems for transit systems and government agencies.
Its technologies support bus lane and bus stop enforcement, transportation optimization, street safety, and sustainability.
About the Role
The Infrastructure Engineering team connects thousands of field-deployed devices with large-scale, multi-region cloud services and applications.
The role supports the underlying infrastructure used by Hayden AI products.
Responsibilities
- Lead the core service backbone architecture and long-term cloud services roadmap.
- Make architectural decisions, conduct code reviews, and evaluate technical trade-offs.
- Manage multi-region cloud deployments with infrastructure as code and automation.
- Optimize infrastructure performance, reliability, security, observability, and cost.
- Lead incident prevention and response, including system hardening and remediation.
- Bridge hardware, product, and engineering teams on end-to-end technical solutions.
- Drive consensus and mentor engineers in distributed systems and cloud architecture.
Requirements
- At least 6 years of professional software engineering experience and a relevant bachelor’s degree.
- Expert Python or Go skills and production experience building distributed services.
- Deep database, SQL optimization, and AWS experience using the specified AWS services.
- Advanced Terraform or similar IaC experience with multi-region cloud deployments.
- Kubernetes, Docker, service mesh, networking, security, storage, and observability experience.
- Experience leading technical initiatives, mentoring engineers, and driving architectural consensus.
- Experience with build-versus-buy analysis, vendor evaluation, DevOps, SRE, and technical communication.
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