Senior DevOps Engineer

Company Description

Job Description

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. Whether you're a Pioneer shaping bold new ideas, a Builder turning possibilities into reality, or a Stabilizer optimizing for success, you'll play a vital role in advancing our mission. 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!  

The 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 Senior Engineer regularly demonstrates a mix of development, networking, infrastructure security, and system-administrations skills. The Senior DevOps Engineer works closely with developers, facilitating the development process by removing obstacles interfering with ongoing development. The Senior DevOps Engineer works with the engineering and AWS Operations teams in order to build secure, reliable, scalable infrastructure and meets business goals and objectives. Candidates who are able to work a hybrid schedule from our Austin, TX office 2–3 days per week are preferred.

We know that talented candidates sometimes hesitate to apply when they don't meet every single qualification listed. We encourage you to apply if you're excited about this role and believe you can contribute meaningfully to our team, even if your background doesn't align perfectly with every requirement. We're looking for people who are passionate about our mission and can bring valuable perspectives to our work. Different experiences, skills, and approaches all have the potential to strengthen what we do. If this opportunity interests you, we'd love to hear how your unique background and abilities could contribute to our team's success. We're committed to building a workplace where everyone can do their best work and where diverse viewpoints are valued. We encourage all qualified candidates to apply - we're excited to learn about the different ways you might add value to our organization.     

Major responsibilities include, but are not limited to:

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 cleanly 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 the 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.

Job Qualifications

Required Qualifications:

• Bachelor's Degree.
• 7+ years' experience in DevOps/Platform Engineering or similar role, with a 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.
• Experienced in 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 Range:  $138,000 - $145,000

Exemption Status:  Exempt

Physical Requirements:

 Requires long periods of close concentration and ability to multitask in noisy/busy open-office environment. Must be able to travel and work more than 40 hours a week, as needed. 

The position is eligible for remote employment, excluding the following locations: Alaska, Arkansas, Hawaii, Mississippi, Nevada, South Dakota, West Virginia, Wyoming. Candidates who are able to work a hybrid schedule from our Austin, TX office 2–3 days per week are preferred.