Site Reliability Engineer

Machine Learning Technologies, LLC; Pittsburgh (Allegheny County); On-site; USD 110,000 - 170,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced Site Reliability Engineer to keep large-scale websites and cloud systems fast, reliable, and scalable. You will own incident response, automation, and capacity planning in a production environment.

This role bridges development and operations, focusing on reducing toil through code, defining SLOs/SLIs/SLAs, and improving observability to prevent outages.

Qualifications

• Experience in SRE or site reliability engineering or production operations.
• Strong coding skills for automation and tooling.
• Familiarity with monitoring, tracing, and incident management.

Responsibilities

• Handle production alerts, investigate root causes, and lead post-incident reviews to prevent future failures.
• Write code and scripts to automate manual operations, routine maintenance, and system deployments.
• Track system health using metrics, logs, and traces to measure latency, traffic, errors, and saturation.
• Define and manage SLOs, SLIs, SLAs, and error budgets to balance speed with stability.
• Analyze user traffic and usage patterns to forecast future hardware and infrastructure demands.
• Bridge Dev & Ops to ensure new features can run safely in production.

Skills

Incident response

Automation scripting

Monitoring

Tools

Python

Java

Ruby

Job description

A Site Reliability Engineer (SRE) applies software engineering principles to IT operations and infrastructure to keep large-scale websites| applications| and cloud systems fast| reliable| and scalable.

Core Responsibilities Incident Response & Troubleshooting: Handle production alerts| investigate root causes| resolve outages| and lead post-incident reviews to prevent future failures.

Automation & Toil Reduction: Write code and scripts (using languages like Python| Java| or Ruby) to automate manual operations| routine maintenance| and system deployments.

Monitoring & Observability : Track system health using metrics| logs| and traces to measure latency| traffic| errors| and saturation via the AWS SRE Guide.

Reliability Standards: Define and manage Service-Level Objectives (SLOs)| Service-Level Indicators (SLIs)| Service-Level Agreements (SLAs)| and error budgets to balance speed with stability.

Capacity Planning: Analyze user traffic and usage patterns to forecast future hardware and infrastructure demands.

Bridges Dev & Ops: Work between software developers and traditional operations teams to ensure new features can run safely in production

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.