SRE Architect: Reliability, Platform & Automation

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 110,000 - 193,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC seeks an experienced SRE Architect in Atlanta to lead reliability and scalability strategy for critical services. You will define standards, blueprints, and frameworks enabling teams to build and operate highly resilient systems.

You will mentor SREs, drive architectural reviews, and champion observability, incident readiness, and postmortems to improve overall platform health and efficiency.

Qualifications

• Proven experience in an architectural role, designing solutions for reliability, scalability, and performance.
• Deep understanding of SRE principles (SLIs/SLOs, error budgets, toil reduction, automation, incident management, postmortems).
• Expertise in AWS cloud, networking, and security services.
• Strong experience with Kubernetes, Docker, and serverless computing.
• Solid experience designing and implementing observability solutions (Dynatrace, Prometheus, Grafana, ELK/EFK Stack, Jaeger, OpenTelemetry).
• Strong programming/scripting skills (Python, Go, Bash) for automation and tool development.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Strong communication, collaboration, and leadership skills with the ability to influence technical direction across teams.

Responsibilities

• Architect and design highly available, scalable, secure, and cost-effective infrastructure and application patterns on AWS.
• Define and evangelize SRE best practices, standards, and blueprints for service design, deployment, monitoring, and operational readiness.
• Review observability implementation to identify gaps and define steps to reach higher maturity of observability setup.
• Lead the definition and implementation strategy for SLIs, SLOs, and error budgets for critical services.
• Design solutions to reduce operational toil through automation and improved system design.
• Evaluate SRE tools and automation frameworks (CI/CD pipelines, IaC, automated incident remediation, chaos engineering) and suggest enhancements.
• Prototype and recommend new technologies, tools, and methodologies to enhance reliability and developer productivity.
• Act as a senior technical advisor on reliability, scalability, and performance for development teams.

Skills

Python

Go

Bash

SRE principles

Tools

AWS

Kubernetes

Docker

Serverless

Dynatrace

Prometheus

Grafana

ELK/EFK Stack

Jaeger

OpenTelemetry

CI/CD pipelines

Infrastructure as Code

Job description

MACHINE LEARNING TECHNOLOGIES LLC seeks an experienced SRE Architect in Atlanta to lead reliability and scalability strategy for critical services. You will define standards, blueprints, and frameworks enabling teams to build and operate highly resilient systems.

You will mentor SREs, drive architectural reviews, and champion observability, incident readiness, and postmortems to improve overall platform health and efficiency.