Platform Engineer I

Blackhawk Network•Pleasanton, CA

5d•$32 - $41•Hybrid

About The Position

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. You'll split your time between engineering solutions and operating our production platforms—maintaining the health of BHN's production services while building the automation, observability, and AI-driven capabilities that make incidents less frequent, easier to diagnose, and faster to resolve. As part of the OCC, you'll play an active role in Major Incident Management, partnering with engineering teams to diagnose and restore production services during critical incidents. Outside of incident response, you'll build dashboards, improve monitoring, develop automation, analyse operational data, and engineer intelligent tooling that continuously improves platform reliability. This role provides exceptional exposure to large-scale distributed systems, cloud infrastructure, Kubernetes, CI/CD, observability platforms, automation, AI-assisted software development, and production engineering. If you're naturally curious, enjoy solving complex technical problems, and want to accelerate your engineering career, we'd love to hear from you.

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

Nice To Haves

Kubernetes
Docker
Jenkins
Splunk
New Relic
Prometheus
Grafana
OpenTelemetry
ServiceNow
Python automation
Infrastructure as Code (Terraform, CloudFormation, etc.)
CI/CD engineering
Distributed systems
FinTech, payments, or other high-availability production environments

Responsibilities

Participate in the 24x7 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.
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.
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 drive 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.