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Fractal Analytics

Enterprise AI solutions for decision making

AWS DevOps Lead

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • 8–12 years of hands-on experience in DevOps, AWS Cloud Engineering, Platform Engineering, Site Reliability Engineering, or similar engineering roles.
  • Strong hands-on experience designing and operating infrastructure on Amazon Web Services (AWS), including EC2, EBS, S3, VPC, VPC Endpoints, Transit Gateway, Security Groups and NACLs, AWS CodePipeline, and AWS CodeBuild.
  • Strong Linux administration and troubleshooting skills, including process management, memory, file systems, system performance, and shell scripting.
  • Solid understanding of networking fundamentals, including TCP/IP, DNS, HTTP/HTTPS, routing, load balancing, firewalls, and VPN concepts.
  • Strong scripting or programming skills in at least one of Python, Go, Java, or Bash.
  • Hands-on experience building and managing CI/CD pipelines and a good understanding of modern software delivery practices.
  • Experience with GitHub Actions for build and deployment automation.
  • Strong production troubleshooting, debugging, and root-cause analysis capabilities.
  • Experience building reusable automation or self-service tooling.
  • Strong communication skills and ability to collaborate effectively across engineering teams.

Responsibilities

  • Design, build, and maintain highly available, scalable, and secure infrastructure on AWS.
  • Build automation to reduce manual operational effort and improve engineering productivity.
  • Design, develop, and manage robust CI/CD pipelines for application and infrastructure deployments.
  • Drive Infrastructure as Code (IaC) and automation-first engineering practices.
  • Troubleshoot complex production issues across AWS infrastructure, Linux, networking, applications, and deployment pipelines.
  • Participate in production support and on-call activities, taking end-to-end ownership of incidents and root-cause analysis.
  • Partner closely with software engineering teams to design and enable cloud-native solutions.
  • Continuously improve platform reliability, scalability, security, performance, and developer experience.
  • Build reusable automation and self-service capabilities for engineering teams.
  • Evaluate AI-powered engineering solutions that can improve operational efficiency and developer productivity.
  • Create and maintain architecture documentation, operational runbooks, and engineering best practices.

Desired Qualifications

  • Hands-on experience with Terraform and/or AWS CloudFormation.
  • Experience with containers and orchestration technologies such as Docker, Kubernetes, and Amazon EKS.
  • Experience with monitoring and observability platforms such as AWS CloudWatch, Grafana, Prometheus, or Datadog.
  • Experience with configuration management tools such as Ansible.
  • Understanding of AWS cloud security and infrastructure security best practices.
  • AWS certifications.

About the Company

Fractal Analytics

Enterprise AI solutions for decision making

Fractal Analytics provides AI-powered analytics and decision-support solutions for large enterprises, including Fortune 500 companies. Its products combine data science, machine learning, and natural language processing to extract insights, automate tasks, and enable conversations: Crux Intelligence (BI), Senseforth.ai (conversational AI), Eugenie.ai (sustainability), and Asper.ai (revenue growth). The company differentiates itself with a broad, enterprise-focused product portfolio and a global delivery footprint of 4,000+ employees across 16 locations, plus industry analyst recognition and workplace awards. Its goal is to power every human decision in the enterprise by bringing AI, engineering, and design together to help leading companies make better decisions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2000

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