Staff Site Reliability Engineer

PayJunction is a payments technology company that provides systems for businesses to process credit and debit card transactions. The Staff Site Reliability Engineer will own the reliability, security, automation, and compliance of the company’s production platform across AWS, containers, physical servers, and infrastructure supporting analytics and business intelligence.

Responsibilities:

• Keep production available and responsive, owning uptime and incident response for the systems that process payments around the clock
• Drive the containerization of our internal DevOps estate, moving legacy services into a modern, reproducible container platform
• Engineer and evolve our AWS infrastructure with Terraform, building for reliability, security, and cost-awareness
• Manage infrastructure as code across physical, virtual, containerized, and cloud estates using Puppet / OpenVox, Terraform, and Ansible
• Administer Linux servers end to end, from cloud instances down to the physical hardware and data center work behind them
• Build PCI DSS compliance into the platform itself, through patching, vulnerability management, logging, and monitoring that hold up under audit
• Provide technical leadership on architecture and tooling decisions, and document them so the whole team can operate what you build
• Stand up and support the secure infrastructure underneath PayJunction's analytics and BI stack

Requirements:

• 10+ years of relevant experience across development, DevOps, or site reliability engineering
• 5+ years administering Linux servers in production
• 3+ years building and operating production AWS infrastructure
• 3+ years running production container workloads
• 3+ years with configuration management and infrastructure as code (Terraform, Puppet, Ansible, or similar)
• 3+ years scripting for automation
• Hands-on physical server and data center experience
• experience operating in an audited or regulated environment such as PCI DSS
• experience standing up infrastructure beneath a BI or analytics stack
• a degree in Computer Science, Engineering, or a related field