H

Hayden AI

AI-powered urban traffic management platform

Senior Software Engineer - Infrastructure

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$175.6k - $228.3k /yrHybrid

About the Job

Requirements

  • At least 6 years of professional software engineering experience and a bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
  • Expert-level command of Python or Go (Golang), with a proven track record of building, testing, and maintaining production-quality distributed services.
  • Deep experience with relational, document, or time-series databases such as PostgreSQL/RDS, DynamoDB, or InfluxDB; expertise in writing performant SQL and optimizing data schemas for scale.
  • Extensive hands-on experience architecting and operating at scale within the Amazon Web Services ecosystem, specifically using EKS, S3, SQS, RDS, Cognito, and Lambda.
  • Advanced mastery of Terraform or similar tools to manage multi-region, highly available cloud deployments.
  • Solid understanding of Kubernetes (EKS) and Docker, including experience managing containerized deployment pipelines and service meshes in high-traffic production environments.
  • Strong foundation in modern networking, security, distributed compute, storage, and observability, including tools such as Prometheus, Grafana, and ELK.
  • Ability to lead cross-functional technical initiatives, mentor junior engineers, and drive consensus on complex architectural approaches.
  • Ability to perform build-versus-buy analyses, evaluate vendor relationships, and contribute to open-source communities where appropriate.
  • Expertise in modern DevOps and site reliability engineering practices, including blameless post-mortems and proactive system hardening.
  • Ability to translate complex infrastructure requirements into actionable roadmaps for hardware, product, and software teams.

Responsibilities

  • Architect and evolve the core services architecture, providing a robust, high-availability backbone used by cloud services and engineering teams.
  • Define the long-term technical strategy and architectural vision for cloud services, aligning it with future business growth and technological shifts.
  • Lead critical architectural decisions, perform deep-dive code reviews, and evaluate technical trade-offs to maintain a sustainable and scalable service ecosystem.
  • Design and manage globally distributed, multi-region cloud deployments using infrastructure as code to ensure scalability and performance.
  • Use automation and orchestration tools to reduce manual overhead and enable a self-service infrastructure model that helps developers ship code faster and more safely.
  • Continuously tune infrastructure for peak performance, reliability, and cost-efficiency across cloud environments.
  • Establish and enforce software engineering and DevOps standards, including monitoring, observability, and blameless post-mortems.
  • Lead incident prevention and response by modeling site reliability best practices, proactive system hardening, and rapid remediation.
  • Embed security best practices and compliance guardrails into the infrastructure layer.
  • Serve as the primary technical bridge between hardware, product, and engineering teams, translating business requirements into end-to-end technical solutions.
  • Drive cross-functional alignment on complex technical approaches and foster collaboration and shared technical ownership.
  • Mentor engineers and share expertise in distributed systems, cloud design patterns, and architecture.

About the Company

Hayden AI

AI-powered urban traffic management platform

Hayden AI builds an autonomous traffic management platform that uses AI to turn public and private vehicles into mobile sensors. Those sensors feed real-time data to create a digital twin of the city, which is used to monitor traffic flow and road safety. The platform primarily serves transit agencies to enforce dedicated bus lanes, boosting rider safety, on-time performance, and reducing operating costs. Hayden AI sells an integrated solution—tech plus services—to city transit agencies and urban planning stakeholders, generating revenue from licensing and partnerships. The company differentiates itself by delivering the first autonomous traffic management platform that blends mobile sensor data with citizen-driven information, backed by patented technology and strategic partnerships (e.g., Conduent). Its goal is to make urban mobility safer and more efficient by providing a comprehensive, data-driven view of traffic conditions and safety issues.

Company size
51-200
Company stage
Series C
Total funding
$193.2M
Headquarters
San Francisco, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Hayden AI

See more jobs