SRE

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); On-site; USD 98,000 - 131,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a skilled Site Reliability Engineer (SRE) in Chicago, IL. The role focuses on reliability, scalability, and performance of production systems, with emphasis on cloud infrastructure, automation, monitoring, and incident management.

Responsibilities include building scalable infra, managing CI/CD pipelines, and implementing SLOs/SLAs. Familiarity with Docker, Kubernetes, and IaC is required for on-site operations and cross-functional collaboration.

Qualifications

• Experience designing and running scalable, highly available systems.
• Strong automation and cloud platform management skills.
• Exposure to incident management and monitoring practices.
• Proficient with CI/CD pipelines and IaC toolchains.

Responsibilities

• Design, implement, and maintain highly available infrastructure.
• Monitor performance, availability, and reliability in production.
• Develop automation tools and scripts (Python/Go/Bash).
• Implement and manage CI/CD pipelines for deployments.

Skills

SRE principles

AWS/GCP/Azure

Kubernetes

Terraform IaC

CI/CD tooling

Python/Go scripting

Linux admin

Tools

Jenkins

GitLab CI/CD

GitHub Actions

Job description

Job ID: J54778

Job Title: SRE

Location: Chicago, IL

Duration: 12 Months + Extension

Bill Rate: $83/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Summary

We are seeking an experienced Site Reliability Engineer (SRE) to ensure the reliability, availability, scalability, and performance of production systems. The ideal candidate should have strong experience in cloud infrastructure, automation, DevOps practices, monitoring, incident management, and distributed systems.

Key Responsibilities

• Design, implement, and maintain highly available and scalable infrastructure.
• Monitor system performance, availability, and reliability across production environments.
• Develop automation tools and scripts using Python, Bash, or Go.
• Implement and manage CI/CD pipelines for application deployments.
• Establish Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs).
• Manage incident response, troubleshooting, and root cause analysis.
• Automate operational tasks to reduce manual intervention.
• Implement monitoring, logging, and alerting solutions.
• Manage cloud infrastructure using AWS, Azure, or GCP.
• Support containerized applications using Docker and Kubernetes.
• Optimize system performance, resource utilization, and infrastructure costs.
• Participate in on-call rotations and production support activities.
• Collaborate with DevOps, development, and infrastructure teams.
• Develop disaster recovery and business continuity strategies.

Required Technical Skills

• Site Reliability Engineering (SRE) principles.
• AWS, Azure, or Google Cloud Platform (GCP).
• Kubernetes and Docker.
• Terraform and Infrastructure as Code (IaC).
• Jenkins, GitLab CI/CD, or GitHub Actions.
• Python, Go, Bash, or Shell scripting.
• Linux and Unix administration.
• Prometheus, Grafana, and Datadog.
• ELK Stack (Elasticsearch, Logstash, Kibana).
• Networking, DNS, TCP/IP, and Load Balancing.
• Incident Management and Root Cause Analysis.
• Git and Version Control.
• Microservices and Distributed Systems.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.