Posted today · be early
Platform Engineer I
Blackhawk Network
IndiaremotePosted today
Skill Required
Platform-EngineerDevOps-EngineerSite-Reliability-EngineerInfrastructure-EngineerProduction-Operations-EngineerPlatform-Engineer-IAssociate-Platform-EngineerSoftware-Platform-EngineerEntry-Level-Platform-EngineerInfrastructure-Platform-EngineerPlatform-Services-EngineerJunior-Platform-EngineerPlatform EngineerSystem DesignSOCtroubleshootingObservabilityCD pipelinesEngineeringKubernetesanalyticalautomationbuildingwrittenPythondesignDevOpsGitLinuxCI/CDCloudShell ScriptingSassAWSandCICDAIFulltime
Key highlights
- Exceptional exposure to large-scale distributed systems, cloud infrastructure, Kubernetes, CI/CD, observability platforms, automation, AI-assisted software development, and production engineering.
- Experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), Infrastructure Engineering, Technical Operations, or a similar technical role.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Strong Linux fundamentals.
- Experience with AWS or another major cloud platform.
Role overview
Our Operations Command Centre (OCC) is seeking a Platform Engineer with strong technical foundations, exceptional problem-solving ability, and a passion for building reliable systems. This role combines engineering solutions with operating production platforms, maintaining BHN's services while developing automation, observability, and AI-driven capabilities to improve incident response. The position offers exposure to large-scale distributed systems, cloud infrastructure, Kubernetes, CI/CD, observability platforms, automation, AI-assisted software development, and production engineering. Ideal candidates are naturally curious, enjoy solving complex technical problems, and want to accelerate their engineering career.
Responsibilities
- Participate in the 24×7 on-call rotation supporting BHN's production platforms.
- Monitor prohealth 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.
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.
Nice to have
- Experience using modern AI engineering tools such as GitHub Copilot, Cursor, Claude, or similar AI-assisted development platforms.
Additional details
- 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.
- You'll Gain Experience Across Cloud Infrastructure (AWS), Kubernetes, CI/CD Engineering, Infrastructure as Code, Observability & Monitoring, Major Incident Management, Production Operations, Reliability Engineering (SRE), Automation Engineering, AI Engineering, Large-scale Distributed Systems.