Senior Platform Engineer

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Fractional Jobs

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🛍️ eCommerce

⚡ Productivity

eCommerce • Productivity • AI

Fractional Jobs is an innovative platform that leverages AI technology to streamline the image editing process for businesses. With tools like background removal, automatic resizing, and intelligent cropping, Fractional Jobs allows users to efficiently manage and enhance large volumes of images for eCommerce and marketing purposes. Their services are designed for wholesalers, marketplace sellers, and other businesses needing quick and high-quality image edits, thereby reducing turnaround times and improving overall productivity.

📋 Description

• Design and evolve cloud-native platform architecture supporting multi-tenant SaaS applications • Define infrastructure standards, deployment patterns, and platform best practices • Lead architecture reviews and evaluate technical tradeoffs across reliability, performance, security, and cost • Design highly available and fault-tolerant systems across multiple environments • Architect and manage large-scale AWS environments • Design networking architectures including VPCs, subnets, security groups, routing, load balancing, and connectivity patterns • Build secure deployment architectures aligned with security and compliance requirements • Implement disaster recovery, backup, and business continuity strategies • Design and operate production Kubernetes environments • Build scalable container orchestration strategies • Optimize cluster performance, networking, autoscaling, and workload scheduling • Improve developer experience through platform automation and self-service tooling • Support AI and ML workloads running on AWS • Design infrastructure for model training and inference workloads • Manage GPU provisioning, utilization, scaling, and cost optimization • Collaborate with AI teams to improve deployment and operational efficiency • Define and measure SLIs, SLOs, and operational metrics • Implement monitoring, observability, logging, alerting, and incident management practices • Drive performance optimization and capacity planning initiatives • Lead root cause analysis and reliability improvement effort • Build Infrastructure-as-Code solutions using Terraform • Design and optimize CI/CD pipelines • Automate provisioning, deployments, scaling, and operational workflows • Continuously evaluate cloud spending • Develop capacity planning models • Balance performance, reliability, and infrastructure costs

🎯 Requirements

• 6-8 years of experience in DevOps, Platform Engineering, SRE, or Cloud Infrastructure roles. • Proven experience designing and operating production-scale SaaS platforms. • Strong expertise in AWS architecture, networking, security, and deployment strategies. • Deep hands-on experience with Kubernetes, container orchestration, cluster operations, autoscaling, and workload management. • Experience designing highly available, fault-tolerant, and scalable distributed systems. • Strong understanding of system design, architecture trade-offs, and platform scalability. • Hands-on experience with Infrastructure as Code (Terraform preferred). • Experience building and maintaining CI/CD pipelines and deployment automation frameworks. • Strong Linux, networking, and systems engineering fundamentals. • Experience implementing observability, monitoring, logging, and incident management practices. • Experience with disaster recovery planning, backup strategies, and business continuity design. • Experience with cloud cost optimization, capacity planning, and resource utilization management. • Hands-on experience supporting AI/ML workloads in production environments. • Experience designing, provisioning, and operating GPU-based infrastructure for model training and/or inference workloads. • Experience managing and optimizing AWS Bedrock, OpenSearch, and DocumentDB or equivalent platforms. • Strong scripting and automation skills using Python, Bash, or similar languages.