Site Reliability Engineer

Machine Learning Technologies, LLC; Tampa (FL); On-site; USD 130,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC in Tampa, FL seeks a Senior Site Reliability Engineer with 10+ years of hands-on experience to design, build, and operate scalable cloud infrastructure. The role focuses on reliability, performance, and automation across AWS and Azure environments.

You will lead SRE initiatives, manage Kubernetes clusters, implement IaC, and drive best practices for monitoring, incident response, and security. Strong collaboration with development teams is essential.

Qualifications

• 10+ years of Site Reliability Engineering experience.
• Proficient in AWS and Azure cloud environments.
• Expertise in container orchestration and microservices.
• Strong background in IaC and automation tooling.
• Experience with monitoring, logging, and incident response.

Responsibilities

• Designed, implemented, and maintained scalable, highly available infrastructure in AWS and Azure.
• Led SRE initiatives to improve availability and performance for enterprise apps.
• Managed Kubernetes clusters, Docker containers, and orchestration platforms for microservices.
• Developed IaC using Terraform, CloudFormation, and Ansible.
• Implemented CI/CD pipelines with Jenkins, GitLab CI/CD, GitHub Actions, and Azure DevOps.
• Established SLIs, SLOs, and SLAs to measure reliability and drive improvements.
• Implemented monitoring and logging with Prometheus, Grafana, ELK Stack, Splunk, and Datadog.
• Led incident management, RCA, and problem management to reduce downtime.

Skills

SRE Experience

Cloud Architecture

Microservices

Automation & Scripting

Tools

AWS

Azure

Kubernetes

Docker

Terraform

Ansible

Jenkins

GitLab CI/CD

Python

Shell scripting

Prometheus

Grafana

ELK Stack

Linux

Job description

Role: Senior Site Reliability Engineer
Experience: 10+ Years
Technology Stack: AWS, Azure, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, Python, Shell Scripting, Prometheus, Grafana, ELK Stack, Linux, Microservices.

Roles and Responsibilities

Designed, implemented, and maintained highly available, scalable, and reliable infrastructure across AWS and Azure cloud environments.

Led Site Reliability Engineering initiatives to improve system availability, reliability, scalability, and performance across enterprise applications.

Implemented and managed Kubernetes clusters, Docker containers, and container orchestration platforms for microservices-based applications.

Developed and maintained Infrastructure as Code (IaC) solutions using Terraform, CloudFormation, and Ansible.

Designed, implemented, and optimized CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, and Azure DevOps.

Established and maintained Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to measure and improve service reliability.

Implemented monitoring, logging, and alerting solutions using Prometheus, Grafana, ELK Stack, Splunk, and Datadog.

Automated infrastructure provisioning, deployment processes, operational tasks, and incident response using Python, Bash, and Shell scripting.

Led production incident management, root cause analysis (RCA), troubleshooting, and problem management to minimize service downtime.

Designed and implemented high-availability, disaster recovery, backup, and business continuity strategies.

Improved application performance through capacity planning, load testing, resource optimization, and infrastructure tuning.

Implemented centralized logging and distributed tracing solutions to improve observability across distributed systems and microservices.

Worked closely with development teams to improve application reliability, deployment strategies, and operational readiness.

Implemented security best practices, IAM policies, network security, vulnerability management, and compliance controls.

Managed cloud infrastructure components, including EC2, EKS, ECS, VPC, Load Balancers, Auto Scaling, S3, RDS, and CloudWatch.

Designed and implemented auto-scaling, self-healing, and fault-tolerant infrastructure solutions.

Established error budgets and reliability metrics to balance system stability with development velocity.

Mentored junior engineers, conducted technical reviews, and provided guidance on SRE best practices.

Led technical discussions, architecture reviews, and infrastructure improvement initiatives across multiple engineering teams.

Participated in on-call rotations and provided production support for mission-critical enterprise applications.

Collaborated with engineering, DevOps, security, and architecture teams in Agile environments.

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.