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Spectraforce Technologies

Site Reliability Engineer

austin, TX

Check who can apply and the requirements below before continuing.

About this opportunity

Spectraforce Technologies lists this Site Reliability Engineer opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Role: Site Reliability Engineer

Location: Southlake / Austin, TX - Onsite 4 days weekly

Duration: 12 Months

Job Summary

We are seeking a motivated Site Reliability Engineer (Contractor) with 3 to 5 years of experience in automation, cloud infrastructure, and production operations. The ideal candidate has a strong automation-first mindset and enjoys solving complex operational challenges. This role focuses on improving reliability, observability, operational efficiency, and automation across on-premises and cloud platforms.

Key Responsibilities

Automation & Platform Engineering

Develop Python-based automation solutions to reduce manual operational effort.

Automate infrastructure management across Linux, Windows, Kubernetes, GCP, and cloud-native environments.

Integrate tools and platforms through APIs and client libraries.

Assist in implementing infrastructure automation using Ansible, Terraform, or similar technologies.

Support CI/CD automation and deployment reliability initiatives.

Reliability & Operations

Monitor and maintain production systems to meet reliability and availability objectives.

Participate in incident response, troubleshooting, and root cause analysis activities.

Develop automation and operational improvements to prevent recurring issues.

Support disaster recovery, failover testing, and operational readiness activities.

Perform performance analysis and system health reviews.

Observability & Monitoring

Build and maintain dashboards, alerts, and monitoring solutions using Splunk, Grafana, Prometheus, GCP Operations Suite, or similar tools.

Improve visibility into application and infrastructure health through metrics, logs, and traces.

Investigate alerts and identify opportunities to reduce noise and improve detection.

AIOps & Intelligence

Explore AI/ML-driven operational improvements such as anomaly detection, intelligent alerting, and log analytics.

Assist in developing automation solutions that leverage AI to improve operational efficiency.

Participate in evaluating emerging AIOps capabilities and observability technologies.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.

3 to 5 years of experience in Site Reliability Engineering, DevOps, Systems Engineering, or Platform Engineering.

Strong programming skills in Python for automation and tooling development.

Experience supporting Kubernetes and cloud platforms (GCP, AWS, or Azure).

Familiarity with infrastructure automation and configuration management tools.

Experience with monitoring and observability platforms such as Splunk, Grafana, Prometheus, Datadog, or similar.

Understanding of Linux systems, networking, and distributed applications.

Strong analytical, troubleshooting, and problem-solving skills.

Ability to work effectively in fast-paced, mission-critical environments.

Preferred Qualifications

Experience with Terraform, Ansible, or Infrastructure as Code solutions.

Exposure to OpenTelemetry and modern observability practices.

Experience with CI/CD pipelines and deployment automation.

Knowledge of AI/ML, AIOps, or intelligent operational tooling.

Experience supporting highly available production systems in regulated or enterprise environments.

Must Have:

3-5 years of hands‑on Site Reliability Engineering or Production Engineering experience

Must have supported production systems at scale.

Operations ownership, incident response, and reliability engineering experience required.

Pure DevOps, build/release, or CI/CD-only backgrounds are not a fit.

Strong Python and operation automation Development Skills

Demonstrated experience building automation tools, scripts, frameworks, or operational solutions.

Candidate should be able to provide examples of automation they personally developed.

Python must be a primary skill, not just basic scripting.

Production Operations & Incident Management Experience

Experience troubleshooting critical production incidents.

Root Cause Analysis (RCA) participation and problem remediation.

Experience reducing operational toil through automation.

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Worksite address

austin, TX, 78716, US

Who can apply

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