Position Details

Salary $130K – $160K USD / year

Type Full-Time

Experience senior

Exp. Years Not specified

Education Not specified

Category Cloud & Infrastructure

About this role

PerfectServe is seeking a Senior Platform Engineer to design, build, and optimize its cloud platform capabilities. The role focuses on Kubernetes/containerized infrastructure, AWS-based deployment and automation (Infrastructure as Code), and integrating AI/AIOps to make the platform more resilient and self-healing.

Key Responsibilities

Lead design and planning of cloud-native systems; Drive deployment and evolution of AWS-based solutions using Infrastructure as Code; Identify and implement AI and machine learning opportunities for platform operations including AIOps; Continuously tune and improve cloud environments for performance and reliability; Serve as technical anchor for complex infrastructure challenges

Technical Overview

You will lead cloud-native architecture and patterns, drive AWS deployments using Infrastructure as Code and automation, and implement AI/AIOps for intelligent monitoring, anomaly detection, predictive autoscaling, incident triage, and root-cause analysis. The work emphasizes performance and reliability tuning and raising the engineering quality bar across the organization.

Ideal Candidate

The ideal candidate is a senior platform engineer with deep, hands-on Kubernetes and containerized infrastructure experience and strong AWS platform expertise. They have proven success designing and operating cloud-native systems, using Infrastructure as Code and automation, and applying AIOps concepts like anomaly detection, predictive autoscaling, and self-healing infrastructure to reduce toil and improve reliability.

Must-Have Skills

containerized infrastructureKubernetesAWS servicesInfrastructure as Codeautomation strategiesAI and machine learning to platform operationsAIOpssecurity principles

Tools & Platforms

Amazon Web Services (AWS)Kubernetes

Required Skills

Kubernetescontainerized infrastructureAmazon Web Services (AWS)Infrastructure as Codeautomation strategiesAImachine learningAIOpsintelligent monitoringanomaly detectionpredictive autoscalingautomated incident triageroot-cause analysisself-healing infrastructuresecurity principlescloud-native systemsarchitecture decisions

Hard Skills

cloud-native systemscloud platform designAWS servicesInfrastructure as Codeautomation strategiesKubernetescontainerized infrastructureAImachine learningintelligent monitoringanomaly detectionpredictive autoscalingautomated incident triageroot-cause analysisAIOps toolingself-healing infrastructureperformance tuningreliability engineeringsecurity principles

Soft Skills

lead design and planningestablish patterns and best practicestechnical leadershipcross-functional collaborationraise the bar for engineering qualityevaluate and recommend adoptiontechnical anchor

Industry & Role

Industry SaaS

Job Function Design and operate a secure, reliable, cloud-native platform powered by Kubernetes and AWS, enhanced with AI/AIOps.

Role Subtype Platform Engineer

Tech Domains Amazon Web Services, Kubernetes, Docker, DevOps & SRE, Cybersecurity, Linux

Keywords for Your Resume

Senior Platform EngineerPlatform EngineerSenior Platformcloud-native systemscontainerized infrastructureKubernetesAmazon Web ServicesAWS servicesInfrastructure as CodeAImachine learningAIOpsintelligent monitoringanomaly detectionpredictive autoscalingautomated incident triageroot-cause analysisself-healing infrastructuresecurity principlesarchitecture decisions

Deal Breakers

Deep hands-on experience with Kubernetes and containerized infrastructure, Strong command of AWS services and Infrastructure as Code, Experience applying AI/AIOps to platform operations (monitoring, anomaly detection, incident triage)

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Senior Platform Engineer - US Remote

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