Senior Cloud SRE: Scalable Infra on AWS & Azure

MACHINE LEARNING TECHNOLOGIES LLC; Tampa (FL); On-site; USD 120,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Tampa, FL is seeking a Senior Site Reliability Engineer to design, build, and operate scalable cloud infrastructure across AWS and Azure. The role demands strong SRE fundamentals, IaC, and robust incident response capabilities.

You will lead SRE initiatives, develop and maintain CI/CD pipelines, monitoring, and observability, and collaborate with DevOps, security, and software teams to boost reliability and performance across enterprise applications.

Qualifications

• 10+ years of experience in Site Reliability Engineering, DevOps, or a related field.
• Strong expertise in cloud platforms (AWS, Azure) and container orchestration.
• Experience designing, building, and operating highly available, scalable infrastructure.

Responsibilities

• Designed, implemented, and maintained highly available, scalable infrastructure across AWS and Azure cloud environments.
• Led SRE initiatives to improve system availability, reliability, and performance across enterprise applications.
• Implemented and managed Kubernetes clusters, Docker containers, and container orchestration for microservices-based apps.
• Developed and maintained Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible.
• Designed, implemented, and optimized CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, and Azure DevOps.
• Established SLIs, SLOs, and SLAs to measure and improve service reliability.
• Implemented monitoring, logging, and alerting via Prometheus, Grafana, ELK Stack, Splunk, and Datadog.
• Automated provisioning, deployment, tasks, and incident response using Python, Bash, and Shell scripting.
• Led production incident management, RCA, troubleshooting, and problem management to minimize downtime.
• Designed high-availability, disaster recovery, backup, and business continuity strategies.
• Improved application performance through capacity planning, load testing, and resource optimization.
• Implemented centralized logging and distributed tracing for observability across distributed systems.

Skills

AWS

Azure

Kubernetes

Docker

Terraform

Ansible

Jenkins

GitLab CI/CD

Python

Shell Scripting

Prometheus

Grafana

ELK Stack

Linux

Microservices

Tools

Kubernetes

Docker

Terraform

Ansible

Jenkins

GitLab CI/CD

Prometheus

Grafana

ELK Stack

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Tampa, FL is seeking a Senior Site Reliability Engineer to design, build, and operate scalable cloud infrastructure across AWS and Azure. The role demands strong SRE fundamentals, IaC, and robust incident response capabilities.

You will lead SRE initiatives, develop and maintain CI/CD pipelines, monitoring, and observability, and collaborate with DevOps, security, and software teams to boost reliability and performance across enterprise applications.