Senior Software Engineer (Infrastructure)

Hayden AI; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Hayden AI is seeking a Senior Infrastructure Engineer to architect the service backbone and drive the long-term cloud strategy. You will design scalable, multi-region deployments and lead critical architectural decisions across hardware, product, and software teams.

You will mentor engineers, enforce security-by-design and high-availability standards, and champion robust observability and incident response practices in a fast-paced environment.

Qualifications

• 6+ years of professional software engineering experience with distributed services
• Experience with relational, document, or time-series databases and writing performant SQL
• Expert-level Python or Go with production distributed services
• Hands-on AWS experience, especially EKS, S3, SQS, RDS, Cognito and Lambda
• Kubernetes (EKS) and Docker in high-traffic environments
• IaC using Terraform to manage multi-region deployments
• Strong knowledge of monitoring/observability (Prometheus, Grafana, ELK)
• Security by design and blameless post-mortems
• Ability to lead cross-functional technical initiatives
• Build vs. buy analyses and engagement with open-source communities

Responsibilities

• Architect the core services backbone and high-availability cloud backbone used by all services
• Drive the long-term technical strategy and architectural vision for cloud services
• Lead important architectural decisions and code reviews for scalability
• Scale multi-region cloud deployments with IaC (Terraform)
• Mentor engineers and promote best practices in DevOps and SRE
• Embed security guardrails and compliance into infrastructure
• Coordinate with hardware, product, and software teams to deliver end-to-end solutions
• Foster cross-functional consensus and drive technical ownership

Skills

Python

Go (Golang)

SQL

Relational Databases

Time-series Databases

SQL Optimization

AWS

EKS

S3

SQS

RDS

Cognito

Lambda

Kubernetes

Docker

Terraform

Observability (Prometheus/Grafana/ELK)

SRE/Incident Leadership

Security by Design

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or related field

Tools

Terraform

Kubernetes (EKS)

Docker

AWS Ecosystem (EKS, S3, SQS, RDS, Cognito, Lambda)

Job description

• 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 scaleOperational 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 hardeningProgramming Proficiency: Expert-level command of Python or Go (Golang), with a proven track record of building, testing, and maintaining production-quality distributed servicesExperience & Education: 6+ years of professional software engineering experience with a Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical fieldAWS Ecosystem: Extensive hands-on experience architecting and operating at scale within the Amazon AWS ecosystem, specifically leveraging EKS, S3, SQS, RDS, Cognito, and LambdaCommunication: Exceptional communication skills with the ability to translate complex infrastructure requirements into actionable roadmaps for hardware, product, and software teamsTechnical Leadership: Proven ability to lead cross-functional technical initiatives, mentor junior engineers, and drive consensus on complex architectural approachesInfrastructure as Code (IaC): Advanced mastery of Terraform (or similar tools) to manage multi-region, highly available cloud deploymentsStrategic Decision Making: Ability to perform “build vs. buy” analyses, evaluate vendor relationships, and contribute to open-source communities where appropriateContainer Orchestration: Solid understanding of Kubernetes (EKS) and Docker, including experience managing containerized deployment pipelines and service meshes in high-traffic production environmentsSystems Engineering: Strong foundation in modern Networking, Security, Distributed Compute, Storage, and Observability (e.g., Prometheus, Grafana, ELK)