Hayden AI Technologies

Senior Software Engineer, Infrastructure

Hayden AI Technologies$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of software engineering experience in a relevant field.
  • Bachelor's degree in Computer Science, Electrical Engineering, or related area.
  • Proficient in Python or Go (Golang) for building distributed services.
  • Expertise in data systems, including SQL optimization and schema design.
  • Hands-on experience with AWS services like EKS, S3, and RDS.
  • Advanced knowledge of Terraform for managing cloud infrastructure.
  • Solid understanding of Kubernetes and Docker in production environments.

Responsibilities

  • Architect core services for a high-availability cloud ecosystem.
  • Drive long-term technical strategy for cloud services.
  • Make strategic architectural decisions and evaluate technical trade-offs.
  • Manage distributed multi-region cloud deployments.
  • Automate infrastructure to enable self-service for developers.
  • Optimize cloud performance and cost efficiency.
  • Enforce engineering standards and lead incident response.

Benefits

  • Opportunities for professional growth and mentorship.
  • Collaborative work environment fostering innovation.
  • A chance to impact transit systems and public safety.
  • Use of advanced technologies in a mission-driven team.
  • Flexible work arrangements and a supportive culture.
Full Job Description
About the Role

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.

The Infrastructure Engineering team is crucial to the overall success of Hayden products: We own all the underlying fabric that connects thousands of devices deployed in the field with large-scale, multi-region cloud services and applications that interact with the data we collect from those devices. If you are a true force multiplier, you will feel right at home in our team!

Responsibilities:
  • Architect the Service Backbone: Lead the design and evolution of the core services architecture, providing a robust, high-availability backbone utilized by all cloud services and engineering teams.
  • Drive Technical Roadmap: Define the long-term technical strategy and architectural vision for cloud services, ensuring alignment with future business growth and technological shifts.
  • Strategic Decision Making: Spearhead critical architectural decisions, perform deep-dive code reviews, and evaluate technical trade-offs to ensure a sustainable and scalable service ecosystem.
  • Scale Multi-Region Cloud: Design and manage globally distributed, multi-region cloud deployments using advanced Infrastructure as Code (IaC) to ensure seamless scalability and performance.
  • Automate Everything: Leverage automation and modern orchestration tools to reduce manual overhead, enabling a self-service infrastructure model that empowers developers to ship code faster and more safely.[1]
  • Optimize Performance & Cost: Lead initiatives to continuously tune infrastructure for peak performance, maximum reliability, and cost-efficiency across cloud environments.
  • Uphold Engineering Standards: Establish and enforce elite software engineering and DevOps standards, including rigorous practices for monitoring, observability, and blameless post-mortems.
  • Incident Leadership: Raise the bar for incident prevention and response by modeling best practices in site reliability, proactive system hardening, and rapid remediation.
  • Security by Design: Embed security best practices and compliance guardrails directly into the infrastructure layer, ensuring the backbone is secure-by-default.
  • Cross-Functional Technical Lead: Act as the primary bridge between hardware, product, and engineering teams to translate complex business requirements into robust, end-to-end technical solutions.
  • Build Consensus: Drive cross-functional alignment on complex technical approaches, fostering a culture of collaboration and shared technical ownership.
  • Mentor & Multiply: Cultivate the next generation of engineers through active mentorship, sharing expertise in distributed systems, cloud design patterns, and architectural excellence.
Requirements:
  • Experience & Education: 6+ years of professional software engineering experience with a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
  • Programming Proficiency: Expert-level command of Python or Go (Golang), with a proven track record of building, testing, and maintaining production-quality distributed services.
  • Data Systems: Deep experience with relational, document, or time-series databases (e.g., PostgreSQL/RDS, DynamoDB, InfluxDB). Must demonstrate expertise in writing performant SQL and optimizing data schemas for scale.
  • AWS Ecosystem: Extensive hands-on experience architecting and operating at scale within the Amazon AWS ecosystem, specifically leveraging EKS, S3, SQS, RDS, Cognito, and Lambda.
  • Infrastructure as Code (IaC): Advanced mastery of Terraform (or similar tools) to manage multi-region, highly available cloud deployments.
  • Container Orchestration: Solid understanding of Kubernetes (EKS) and Docker, including experience managing containerized deployment pipelines and service meshes in high-traffic production environments.
  • Systems Engineering: Strong foundation in modern Networking, Security, Distributed Compute, Storage, and Observability (e.g., Prometheus, Grafana, ELK).
  • Technical Leadership: Proven ability to lead cross-functional technical initiatives, mentor junior engineers, and drive consensus on complex architectural approaches.
  • Strategic Decision Making: Ability to perform "build vs. buy" analyses, evaluate vendor relationships, and contribute to open-source communities where appropriate.
  • Operational Excellence: Comfortable in agile, fast-paced environments with a "leave it cleaner than you found it" mentality. Expertise in modern DevOps and SRE practices, including blameless post-mortems and proactive system hardening.
  • Communication: Exceptional communication skills with the ability to translate complex infrastructure requirements into actionable roadmaps for hardware, product, and software teams.

About Hayden AI Technologies

Hayden AI Technologies is a San Francisco-based company that develops AI-powered traffic management systems for smart cities. The company's technology uses computer vision and machine learning algorithms to analyze traffic patterns and optimize traffic flow in real-time. Hayden AI's solutions are designed to reduce congestion, improve safety, and enhance the overall quality of life in urban areas. The company was founded in 2019 by Chris Carson and is backed by investors such as Urban Innovation Fund and 8VC.
Learn more about Hayden AI Technologies
Size
50 employees
Industry
Founded
2019

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