Hayden AI
Senior Software Engineer, Infrastructure
San Francisco HQ Office · Senior
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About the role
- 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.
- 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.
- Optimize Performance & Cost: Lead initiatives to continuously tune infrastructure for peak performance, maximum reliability, and cost-efficiency across cloud environments.
- 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.
- 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:
Requirements
- 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.
- Container Orchestration: Solid understanding of Kubernetes (EKS) and Docker, including experience managing containerized deployment pipelines and service meshes in high-traffic production environments.
- 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.
- 6+ years of professional software engineering experience with a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
- Programming Proficiency:
- Deep experience with relational, document, or time-series databases (e.g., PostgreSQL/RDS, DynamoDB, InfluxDB).
- Solid understanding of Kubernetes (EKS) and Docker, including experience managing containerized deployment pipelines and service meshes in high-traffic production environments.
Benefits
- Drive Technical Roadmap: Define the long-term technical strategy and architectural vision for cloud services, ensuring alignment with future business growth and technological shifts.
Company info
- 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.
This listing is sourced directly from Hayden AI's careers page and normalized into a canonical job model.