Platform Engineer I

Blackhawk Network

About The Position

Blackhawk Network (BHN) is hiring a Platform Engineer for its Operations Command Centre (OCC). This role combines production operations with engineering work: maintaining the health of BHN’s production services while building automation, observability, and AI-driven capabilities to reduce incidents and make them easier to diagnose and resolve. The engineer will participate in Major Incident Management and partner with engineering teams to restore services during critical incidents. Outside incident response, the role focuses on dashboards, monitoring, automation, operational data analysis, and intelligent tooling that improves platform reliability. The position offers exposure to large-scale distributed systems, cloud infrastructure, Kubernetes, CI/CD, observability, automation, AI-assisted development, and production engineering.

Requirements

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 and a passion for continuous improvement.
Experience using modern AI engineering tools such as GitHub Copilot, Cursor, Claude, or similar AI-assisted development platforms.

Responsibilities

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 and coordinate technical teams during high-severity production incidents.
Perform technical triage, identify probable causes, and drive rapid service restoration.
Communicate 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.
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.
Improve platform reliability through engineering rather than manual intervention.
Design alerts that detect customer-impacting issues early while minimising alert fatigue.
Improve platform visibility through metrics, logs, traces, and dashboards.
Analyse production behaviour 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 guide engineering decisions and improve platform resilience.
Use AI-assisted software development tools to improve engineering productivity.
Develop AI-powered incident summarisation 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.