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SRE Automation Engineer

HexacorpAustin, TX🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

This hybrid role at Hexacorp offers a fantastic opportunity to drive innovation through SRE principles and automation, fostering significant career growth. You'll thrive here if you're passionate about building robust systems and collaborating within a dynamic tech environment. Apply today to shape the future of technology with a leading company!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Austin, TX, United States
Posted
4 days ago
Scrum

Job Description

Title: Sr. SRE Automation Engineer
Location: Austin, TX (Hybrid – 3 Days Onsite / Week)
Contract (W2)

 

Job Description:

                    Evangelize SRE mindset and solve problems through systematization.

                    Identify opportunities to build innovative tools and solve unique operations problems on large enterprise and mission-critical applications.

                    Create scripts to automate operational tasks and incorporate solutions into infrastructure; architect and own production automation solutions that measurably reduce manual toil and improve operational throughput.

                    Design and implement AI/ML-driven automation pipelines, observability enhancements, and proactive operational response systems - including anomaly detection and predictive alerting to improve platform reliability.

                    Lead expansion of automation coverage across deployment, monitoring, alerting, and self-healing workflows for Cloud and Login Platforms.

                    Collaborate with Engineering, Scrum, and Ops resources to provide technical expertise and support on key initiatives for system availability and reliability.

                    Triage alerts and diagnose/resolve critical issues; manage implementation of changes with clear communication and minimal risk.

                    Develop tools, frameworks, and instrumentation to validate and increase rollout success for applications; leverage AI/ML capabilities to enhance operational visibility and rollout validation at scale.

                    Champion AIOps platform adoption and ML-assisted observability practices across the team.

                    Coordinate capacity planning using data-driven trend analysis and ML-informed forecasting.

                    Develop CI/CD orchestration systems to reduce friction for software delivery to production; drive adoption of GitOps concepts and AI-assisted pipeline optimization.

                    Real-time troubleshooting of mission-critical application workflows and incorporate feedback into product development.

                    Participate in on-call support.

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