Senior Software Engineer, Infrastructure
Company: Hayden AI
Location: San Francisco
Posted on: April 2, 2026
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Job Description:
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. 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.
Keywords: Hayden AI, Gilroy , Senior Software Engineer, Infrastructure, Engineering , San Francisco, California
