[Hiring] Platform Engineer I @Blackhawk Network

Role Description

Our Operations Command Centre (OCC) is looking for a Platform Engineer with strong technical foundations, exceptional problem-solving ability, and a passion for building reliable systems. This is not a traditional Platform Engineering or NOC role.

• Split time between engineering solutions and operating production platforms.
• Maintain the health of BHN's production services while building automation, observability, and AI-driven capabilities.
• Play an active role in Major Incident Management, partnering with engineering teams to diagnose and restore production services during critical incidents.
• Build dashboards, improve monitoring, develop automation, analyze operational data, and engineer intelligent tooling.
• Exceptional exposure to large-scale distributed systems, cloud infrastructure, Kubernetes, CI/CD, observability platforms, automation, AI-assisted software development, and production engineering.

Responsibilities

• Major Incident Response & Production Operations
  • Participate in the 24×7 on-call rotation supporting BHN's production platforms.
  • Monitor production health using modern observability platforms.
  • Lead or support Major Incident bridges, coordinating technical teams during high-severity production incidents.
  • Perform technical triage, identify probable causes, and drive rapid service restoration.
  • Communicate clearly with engineers, leadership, and business stakeholders throughout incidents.
  • Lead post-incident reviews focused on learning and continuous improvement.
  • Identify recurring operational pain points and engineer permanent solutions.
• Platform Engineering & Automation
  • Develop automation that reduces manual operational effort.
  • Build internal engineering tools that improve developer productivity and platform reliability.
  • Create dashboards, alerts, health scores, and operational insights.
  • Improve CI/CD pipelines and deployment safety.
  • Automate operational workflows and repetitive tasks.
  • Build self-service capabilities for engineering teams.
  • Develop auto-remediation and self-healing capabilities.
  • Continuously improve platform reliability through engineering rather than manual intervention.
• Observability & Reliability Engineering
  • Design alerts that detect customer-impacting issues early while minimizing alert fatigue.
  • Improve platform visibility through metrics, logs, traces, and dashboards.
  • Analyze production behavior to identify reliability improvements.
  • Develop operational KPIs and engineering health metrics.
  • Define and measure Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
  • Use operational data to drive engineering decisions and improve platform resilience.
• AI Engineering & Intelligent Operations
  • Use AI-assisted software development tools to improve engineering productivity.
  • Develop AI-powered incident summarization and communication capabilities.
  • Build intelligent root cause analysis and diagnostic tooling.
  • Create operational copilots and engineering assistants.
  • Enhance alerts with contextual intelligence.
  • Automate diagnostics and operational workflows.
  • Build AI-driven orchestration and auto-remediation capabilities.
  • Develop engineering knowledge systems that improve troubleshooting and accelerate learning.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), Infrastructure Engineering, Technical Operations, or a similar technical role.
• Strong Linux fundamentals.
• Experience with AWS or another major cloud platform.
• Experience with Git and modern software development workflows.
• Basic scripting experience using Python, Bash, or a similar language.
• Strong analytical and troubleshooting skills, with exposure to production support or Major Incident Management.
• Excellent written and verbal communication skills.
• Strong ownership mindset with a passion for continuous improvement.
• Experience using modern AI engineering tools such as GitHub Copilot, Cursor, Claude, or similar AI-assisted development platforms.