Senior DevOps Engineer: AI-Driven Platform & CI/CD

Buspatrol

Austin (TX)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Job summary

BusPatrol is seeking a hands-on DevOps Engineer in Austin, TX to help modernize infrastructure, CI/CD, observability, and security across cloud platforms. You will turn manual processes into repeatable, reliable systems that accelerate engineering teams.

This role supports secure AI-enabled software delivery while strengthening production readiness and collaboration across product and platform teams. Applicants should have 5+ years in DevOps/SRE and a Bachelor's degree.

Qualifications

5+ years of experience in DevOps, Platform Engineering, SRE, or cloud infrastructure.
Hands-on AWS and modern infrastructure automation practices.
Experience with Terraform, AWS CDK, or comparable IaC tooling.
Experience building CI/CD pipelines in GitHub Actions or similar systems.
Working knowledge of observability tooling, monitoring, and production operations.
Experience with containerized or distributed application environments.
Familiarity with cloud security controls, secrets handling, branch protections, and secure release workflows.
Ability to work effectively with engineers, security partners, and stakeholders across time zones.
Strong written documentation habits and an automation-first mindset.

Responsibilities

Design, provision, and maintain cloud infrastructure using infrastructure-as-code patterns, reusable modules, and secure platform standards.
Help define and improve the engineering paved road for service delivery, release patterns, environment consistency, and platform guardrails.
Build, maintain, and harden CI/CD pipelines that support safe build, test, release, promotion, rollback, and change visibility across services and environments.
Improve pipeline quality gates with automated security scanning, dependency checks, and policy enforcement.
Strengthen observability across applications and infrastructure by standardizing logs, metrics, traces, dashboards, alerts, and runbooks.
Partner with engineering teams to improve reliability, performance, recovery time, and production readiness.
Support secure AI-enabled software delivery by helping teams operationalize spec-driven workflows, AI-assisted PR practices, automated test generation, and controlled release readiness checks.
Contribute to AI delivery systems that are secure, repeatable, observable, and aligned with guardrails for sensitive data, secrets, and production change control.
Improve developer experience through self-service tooling, templates, documentation, and workflow automation.
Help make the safest and most repeatable paths for engineers across product and platform teams.
Participate in incident response, root cause analysis, and continuous improvement efforts.
Use operational data to reduce recurring issues, strengthen controls, and improve the delivery system.
Collaborate with software engineering, security, architecture, MLOps, and IT teams to deliver scalable internal platforms and high-trust operational practices.