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Hayden AI

Senior Software Engineer (Infrastructure)

Posted Updated
Discussion
  • 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!
  • 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
  • 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
  • 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
  • Programming Proficiency: Expert-level command of Python or Go (Golang), with a proven track record of building, testing, and maintaining production-quality distributed services
  • Experience & Education: 6+ years of professional software engineering experience with a Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
  • 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
  • Communication: Exceptional communication skills with the ability to translate complex infrastructure requirements into actionable roadmaps for hardware, product, and software teams
  • Technical Leadership: Proven ability to lead cross-functional technical initiatives, mentor junior engineers, and drive consensus on complex architectural approaches
  • Infrastructure as Code (IaC): Advanced mastery of Terraform (or similar tools) to manage multi-region, highly available cloud deployments
  • Strategic Decision Making: Ability to perform “build vs. buy” analyses, evaluate vendor relationships, and contribute to open-source communities where appropriate
  • 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)

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