Senior DevOps Engineer

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🕒 April 22

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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 manage scalable, secure, and highly available AWS infrastructure • Set up and operate Bedrock, OpenSearch, and DocumentDB for AI-driven and high-volume data workflows • Manage and optimize Kubernetes clusters (pods, services, autoscaling, networking) • Build and maintain robust CI/CD pipelines for faster and reliable releases • Implement Infrastructure as Code (IaC) for automated provisioning and environment consistency • Monitor system health, performance, and reliability using observability tools • Optimize cloud costs and resource utilization • Ensure high availability, backup, and disaster recovery strategies • Collaborate with Dev, QA, ML, and Product teams to improve deployment efficiency • Enforce security best practices across infrastructure and pipelines • Manage deployments on AWS ECS / Fargate and container registries (ECR). • Maintain environment parity across dev, staging, and production. • Integrate security scanning tools: SonarQube, Trivy, AWS Security Hub, AWS GuardDuty, and AWS Config.

🎯 Requirements

• 6+ years in DevOps / Cloud Engineering roles • Strong hands-on experience with the AWS ecosystem — EC2, S3, ECS, Fargate, ALB, VPC, SQS, RDS, Elasticache, and more. • Proven experience managing OpenSearch clusters and performance tuning • Experience with DocumentDB or similar NoSQL databases • Hands-on experience with AWS Bedrock or ML infrastructure is highly preferred • Strong expertise in Kubernetes (pods, scaling, deployments, networking) • Experience with CI/CD tools and automation pipelines • Proficiency in Terraform or CloudFormation • Strong understanding of Linux, networking, and system design • Experience with monitoring, logging, and alerting systems • Scripting knowledge (Bash/Python)