Site Reliability Engineer

We are seeking a hands‑on Site Reliability Engineer to join our team. You will bridge the gap between software development and infrastructure operations, treating operational challenges as engineering problems. By leveraging automation, designing resilient distributed systems, and championing observability, you will ensure that our customers can secure and manage their access control systems without friction or failure. Key Responsibilities Infrastructure & Automation: Design, build, and maintain scalable, secure multi‑tenant cloud infrastructure using Infrastructure as Code (IaC) principles. Uptime & Reliability: Own the availability, latency, performance, and capacity planning of the pdk.io platform and its supporting backend microservices. Observability: Develop and manage robust monitoring, logging, and alerting systems to gain deep visibility into cloud infrastructure, API health, and IoT endpoint performance. Incident Response: Participate in a collaborative on‑call rotation. Lead rapid incident response mitigation and drive rigorous, blameless post‑mortems to ensure long‑term system resilience. CI/CD Pipeline Management: Optimize and secure automated deployment pipelines to enable developers to ship code to production safely and efficiently. Cross‑Functional Collaboration: Partner closely with backend developers and hardware engineering teams to define Service Level Indicators (SLIs), Service Level Objectives (SLOs), and manage error budgets. Contribute to technical documentation and knowledge sharing Tooling CI automation with GitHub Actions and Argo Workflows IaC with OpenTofu & Terragrunt at the core Observability stack powered by Prometheus and Grafana Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or related fields or equivalent experience 3+ years of experience in an SRE, DevOps, or Infrastructure Engineering role supporting production cloud environments Cloud Architecture: Deep hands‑on experience with major cloud providers (AWS or GCP) and a strong command of containerization and orchestration technologies (Docker and Kubernetes). Coding & Scripting: Strong programming proficiency in languages such as Python, Go, TypeScript, or Bash for automation, internal tooling, and system integrations. Systems & Networking: Solid fundamentals in Linux/Unix administration, networking protocols (TCP/IP, DNS, load balancing), and cloud security best practices. Mindset: A passionate problem‑solver who prioritizes automation over manual operations and thrives in high‑ownership environments. Must pass drug and criminal background check Work well in an onsite team environment Preferred Qualifications Experience with multi‑region deployments, failover strategies, and data consistency Messaging Systems: Experience managing high‑throughput message queues or data streaming platforms, specifically RabbitMQ or Apache Kafka. Experience operating production systems at scale Data Infrastructure: Familiarity with modern data stack environments, such as Snowflake or relational databases in a self‑hosted environment. Certifications: Relevant industry certifications such as Certified Kubernetes Administrator (CKA) or AWS Certified DevOps Engineer Professional. Familiarity with regulatory requirements (SOC2, GDPR, etc) Nice to Have Experience in physical security or access control systems Familiarity with GCP ecosystem and tooling Experience working in a scaling startup environment Competitive salary starting at $125,000 depending on experience Comprehensive medical, dental, and vision coverage 401(k) with company match 3‑5 weeks PTO annually based on tenure Paid company holidays Work Location This position is an in‑office, non‑remote role, working from ProdataKey Headquarters located in Draper, Utah. #J-18808-Ljbffr ProdataKey