SRE Architecture Lead: Reliability & Cloud Platform

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an SRE Architect to lead the design and evolution of reliable, scalable, and efficient services on AWS. You will set standards, blueprints, and frameworks to guide development and SRE teams, ensuring resilient systems and strong observability across the organization.

You will mentor engineers, drive architectural reviews, and champion best practices in reliability, performance, and incident response, shaping the future of the platform and services.

Qualifications

• Proven experience in an architectural role focusing on reliability, scalability, and performance.
• Deep understanding of SRE principles: SLIs/SLOs, error budgets, toil reduction, automation, incident management, postmortems.
• Expertise with AWS cloud infrastructure, networking, and security services.
• Strong experience with containers and orchestration (Kubernetes, Docker, serverless).
• Solid observability design experience using Dynatrace, Prometheus, Grafana, ELK/EFK, 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 abilities to influence technical direction across teams.

Responsibilities

• Architect and design highly available, scalable, and cost‑effective AWS infrastructure and app patterns.
• Define and evangelize SRE standards, blueprints, and dashboards for service design and deployment.
• Review observability to reach higher maturity and provide deep system insights.
• Lead the setup of SLIs, SLOs, and error budgets for critical services.
• Automate toil reduction and improve system design through tooling and automation.
• Mentor SREs and engineers, driving technical excellence and adherence to SRE principles.
• Lead architectural reviews and production readiness assessments for critical systems.
• Drive resilience practices including incident postmortems and chaos engineering initiatives.

Skills

SRE architecture

Cloud AWS

Kubernetes

Docker

Python

Go

Bash

Observability design

Postmortems

Incident management

Leadership

Tools

Dynatrace

Prometheus

Grafana

ELK/EFK Stack

Jaeger

OpenTelemetry

CI/CD

Infrastructure as Code

Terraform

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking an SRE Architect to lead the design and evolution of reliable, scalable, and efficient services on AWS. You will set standards, blueprints, and frameworks to guide development and SRE teams, ensuring resilient systems and strong observability across the organization.

You will mentor engineers, drive architectural reviews, and champion best practices in reliability, performance, and incident response, shaping the future of the platform and services.