Site Reliability Engineer

Robotic Process Automation LLC; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotic Technologies Automation seeks a Site Reliability Engineer in Austin, TX to own infrastructure reliability for AWS, GAIA, and GKP. You will design, deploy, and optimize automated pipelines, monitor systems, and lead incident response to ensure services remain highly available and performant.

Ideal candidates have 3–8 years in SRE/DevOps, strong scripting, Terraform experience, and a solid grasp of SLIs/SLOs. The role targets scalable, cost-conscious cloud operations.

Qualifications

• Hands-on AWS infrastructure and cloud services experience.
• GAIA and GKP infrastructure experience.
• Experience with deployment, configuration, and environment management.
• Monitoring, alerting, logging, and telemetry implementation.
• Proficiency in scripting languages (Python, Bash).
• Understanding of Linux/Unix, networking, DNS, load balancing, and security basics.
• Knowledge of incident management and production support processes.

Responsibilities

• Infrastructure Management: design, deploy, manage GAIA/GKP and AWS infrastructure.
• Automation and Tooling: develop scripts to reduce manual tasks.
• Deployment and Release Management: automate pipelines and manage releases.
• Monitoring and Observability: implement dashboards and telemetry solutions.
• Incident Management: respond to incidents, perform root cause analysis, and implement preventive measures.
• SRE Practices: define SLIs/SLOs/SLAs to improve service reliability.
• Performance and Capacity: monitor resources and optimize costs.
• IaC: automate provisioning with Terraform or similar tools.
• Security and Compliance: implement security best practices and access controls.

Skills

AWS infrastructure

GAIA/GKP

CI/CD pipelines

Python scripting

Linux/Unix

Observability tooling

Terraform

Education

Bachelor's degree in CS/IT

Tools

Prometheus

Grafana

CloudWatch

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.