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Macmillan Learning

Senior DevOps Engineer

Macmillan Learning, Austin, Texas, us, 78716

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Overview

At Macmillan Learning, we're committed to driving innovation that transforms education. We seek team members who thrive on pushing boundaries, envisioning future possibilities, and building solutions that make a lasting impact. If you're excited by the prospect of testing new technologies, implementing transformative strategies, and thriving in a fast-paced, innovative environment, we’d love to hear from you! Position

Senior DevOps Engineer works closely with engineering and cloud operations engineering staff to ensure that the applications and pipelines they build can scale, stay available, are secure, and handle failure. This role regularly demonstrates a mix of development, networking, infrastructure security, and system-administrations skills. The Senior DevOps Engineer collaborates with developers to facilitate the development process by removing obstacles and works with engineering and AWS Operations teams to build secure, reliable, scalable infrastructure and meet business goals. Note: This application includes an encouragement to apply even if not all qualifications are met. We value diverse backgrounds and perspectives. Major Responsibilities

Engineering-Centric Operations & Infrastructure Development: Analyze, design, and evolve secure, resilient, and observable infrastructure systems in cloud environments (e.g., AWS, GCP). Architect solutions with an intuitive understanding of how application code runs, scales, and interacts with its environment. Build and maintain internal tools, CI/CD pipelines, infrastructure as code, and observability frameworks that integrate into modern software development practices. Focus on reducing cognitive overhead and enabling rapid iteration for engineering teams. Engage deeply with developers to understand deployment needs, runtime behaviors, and pain points. Shape infrastructure choices that anticipate challenges developers face and complement common design and deployment patterns. Process Enablement, Improvement and Documentation

Create and maintain documentation that captures operational standards, architecture decisions, and tooling workflows. Ensure guidance is actionable, discoverable, and relevant to both infrastructure and application engineers. Continuously participate in improving and codifying practices for environment provisioning, incident response, and deployment workflows that mirror real-world development patterns. Support a feedback loop with engineering teams to ensure operational guidelines reflect practical usage. Required Qualifications

Bachelor's Degree 7+ years in DevOps/Platform Engineering or similar role, with strong background in software development and infrastructure operations. Proficiency with containerization technologies (Docker, Kubernetes) and orchestration tools. Proficiency with declarative management tools such as Terraform, Crossplane, or CloudFormation. Experience with the AWS Cloud Platform. Experience with observability tools (Prometheus, Grafana, OpenTelemetry). Experience in scripting and programming languages such as Python or Bash. Hands-on experience with CI/CD tools such as Jenkins or ArgoCD. Exceptional troubleshooting and problem-solving skills, with the ability to quickly diagnose and resolve technical issues. Exceptional communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Proven track record of driving process improvements and implementing best practices in DevOps methodologies. Knowledge of security best practices and compliance requirements in cloud environments. Experience with agile development methodologies and DevOps practices in a fast-paced, dynamic environment. Preferred Qualifications

Skilled in automating AI/ML workflows, including model training, testing, deployment, and monitoring for seamless production integration. Experience managing cloud platforms such as AWS, Azure, and GCP, and proficient with containerization tools (e.g., Docker, Kubernetes) and serverless technologies. Capable of embedding security throughout the AI lifecycle, ensuring compliance with standards like GDPR and HIPAA, and maintaining secure deployments. Adept at leveraging AI for code quality analysis, automated testing, predictive maintenance, resource allocation, and incident response. Continuously explores and integrates innovative tools and methodologies to improve AI/ML workflows and system performance. Salary & Benefits

Salary Range:

$138,000 - $145,000 Exemption Status:

Exempt Physical Requirements

Requires long periods of close concentration and ability to multitask in a noisy/open office environment. Must be able to travel and work more than 40 hours a week, as needed. This is a hybrid position that requires being in the Austin, TX office 2-3 days per week. Benefits

Competitive pay and bonus plan Generous health benefits (Medical, Dental, Vision) Contributions to 401(k) retirement account Generous paid time off, sick time, floating holidays, and paid holidays Employee Assistance Program, Education Assistance Program 100% employer-paid life and AD&D insurance And more Macmillan Learning is a division of the Holtzbrinck Publishing Group. We are an Equal Opportunity Employer and value diversity in our workforce. Read more about our Diversity, Equity, & Inclusion initiatives on our site.

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