Site Reliability Engineer

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

Job Description

Job Overview

• Job ID: J53306
• Job Title: Site Reliability Engineer
• Location: Tampa, FL
• Duration: 24 Months + Extension
• Domain Exposure: Banking & Finance
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

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.

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.