Site Reliability Engineer

Machine Learning Technologies, LLC; Austin (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a skilled Site Reliability Engineer (SRE) to join our Austin-based team. You will own infrastructure management, deployment automation, and observability to ensure high availability and scalable services.

The role requires hands-on experience with AWS, GAIA, and GKP, plus strong scripting skills and experience with IaC, monitoring, and incident response. Collaborative, results-driven candidates will thrive.

Qualifications

• Hands-on experience with AWS infrastructure and cloud services.
• Experience with GAIA and GKP infrastructure.
• Experience with monitoring, alerting, logging, and telemetry implementation.
• Proficiency in Python, Bash, or Shell scripting.
• Strong troubleshooting across infrastructure, networking, and application environments.
• Knowledge of IaC tools like Terraform, CloudFormation, or equivalent.
• Understanding of high availability, disaster recovery, scalability, and fault-tolerant design.

Responsibilities

• Infrastructure management: design, deploy, and maintain AWS/GAIA/GKP infra for high availability.
• Deployment and release management: automate pipelines, support releases, manage rollbacks.
• Monitoring and observability: configure dashboards, alerts, logging, telemetry.
• Site Reliability Engineering: define SLIs, SLOs, and SLAs to improve reliability.
• Incident management: respond to incidents, perform RCA, implement preventive measures.
• Automation and tooling: develop scripts to reduce manual tasks.
• Performance and capacity management: monitor resources and optimize costs.
• Infrastructure as Code: automate provisioning with Terraform, CloudFormation, etc.
• Security and compliance: implement security best practices and access controls.
• Collaboration: work with dev/ops/platform teams to improve reliability.
• Documentation: maintain runbooks and incident reports.

Skills

SRE experience

Troubleshooting

Scripting (Python, Bash)

Linux/Unix knowledge

Incident management understanding

RCA knowledge

Automation mindset

Education

Bachelor's degree in Computer Science/IT or related field

Tools

AWS

GAIA

GKP

Terraform

CloudFormation

Kubernetes

Docker

Prometheus

Grafana

CloudWatch

CI/CD tooling

Shell/Python scripting

Job description

Mandatory Skills :
We are looking for a skilled Site Reliability Engineer (SRE) with hands‑on experience in AWS, GAIA, and GKP infrastructure. The candidate will be responsible for infrastructure management, deployment automation, monitoring, telemetry, reliability engineering, and production operations to ensure the availability, scalability, performance, and resilience of critical services.

Key Responsibilities:

• Infrastructure Management: Design, deploy, manage, and maintain AWS and GAIA/GKP infrastructure to ensure high availability, scalability, and reliability.
• Deployment and Release Management: Implement and maintain automated deployment pipelines, support application releases, and manage deployment rollbacks across environments.
• Monitoring and Observability: Configure and maintain monitoring, alerting, dashboards, logging, and telemetry solutions to proactively identify and resolve issues.
• Site Reliability Engineering: Define and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to improve service reliability.
• Incident Management: Respond to production incidents, troubleshoot infrastructure and application issues, perform root cause analysis (RCA), and implement preventive measures.
• Automation and Tooling: Develop scripts and automation to reduce manual operational tasks and improve deployment efficiency.
• Performance and Capacity Management: Monitor resource utilization, analyze performance bottlenecks, and optimize infrastructure capacity and costs.
• Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration using tools such as Terraform, CloudFormation, or equivalent technologies.
• Security and Compliance: Implement infrastructure security best practices, access controls, secrets management, and compliance requirements.
• Collaboration: Work closely with development, DevOps, platform engineering, and operations teams to improve system reliability and operational efficiency.
• Documentation: Maintain operational runbooks, deployment procedures, architecture documentation, and incident reports.

Required Skills and Qualifications:

• Hands‑on experience with AWS infrastructure and cloud services.
• Experience working with GAIA and GKP infrastructure.
• Knowledge of infrastructure deployment, configuration, and environment management.
• Experience with monitoring, alerting, logging, and telemetry implementation.
• Familiarity with tools such as Prometheus, Grafana, CloudWatch, or equivalent observability platforms.
• Experience with CI/CD pipelines and automated deployment tools.
• Strong troubleshooting skills across infrastructure, networking, and application environments.
• Proficiency in scripting languages such as Python, Bash, or Shell.
• Understanding of Linux/Unix operating systems, networking, DNS, load balancing, and security fundamentals.
• Knowledge of incident management, root cause analysis, and production support processes.
• Understanding of high availability, disaster recovery, scalability, and fault‑tolerant system design.

Preferred Skills:

• Experience with Kubernetes, Docker, and container orchestration.
• Familiarity with Terraform or other Infrastructure as Code tools.
• Knowledge of distributed systems and cloud-native architecture.
• Experience with centralized logging and distributed tracing solutions.
• Understanding of SRE practices, error budgets, and reliability metrics.
• Experience with infrastructure performance optimization and cloud cost management.

Experience and Education:

• Experience: 3–8 years in SRE, DevOps, cloud infrastructure, or production operations, depending on the seniority of the role.
• Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Key Success Criteria:

• Improved infrastructure availability and service reliability.
• Reduced incident frequency and mean time to recovery (MTTR).
• Reliable and repeatable deployment processes.
• Effective monitoring, alerting, and telemetry coverage.
• Increased automation and reduced manual operational effort.
• Improved infrastructure performance, scalability, and operational efficiency.

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.