Job description

Job Title: DevOps Manager – Data & Cloud Engineering Location: Corporate Headquarters – The Woodlands, TX Department: Operations Applications Reports To: Executive Director of Software Development Job Summary: We are looking for a seasoned DevOps Manager to lead and scale our cloud infrastructure and data operations. This role requires a strategic thinker with hands-on experience in AWS and Azure, and a strong background in CI/CD, infrastructure automation, and team leadership. You will manage cross-functional teams of data engineers, data scientists, and cloud architects, driving operational excellence and innovation across our data and cloud platforms. Key Responsibilities: • Lead and mentor a multidisciplinary team of DevOps engineers, data engineers, data scientists, and cloud architects. • Architect and implement scalable CI/CD pipelines for data and machine learning workflows. • Oversee cloud infrastructure management across AWS and Azure, ensuring high availability, security, and cost-efficiency. • Collaborate with engineering and data teams to streamline deployment processes and automate infrastructure provisioning using tools like Terraform, CloudFormation, and ARM templates. • Drive adoption of DevOps best practices including monitoring, logging, incident response, and performance optimization. • Manage version control, release management, and environment consistency across development, staging, and production. • Ensure compliance with data governance, security policies, and regulatory requirements. • Evaluate and integrate new tools and technologies to improve operational workflows and team productivity. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 7+ years of experience in DevOps or cloud infrastructure roles, with 3+ years in a leadership or managerial capacity. • Proficient in leveraging Databricks for both traditional machine learning workflows and the development of custom models. Experienced in fine-tuning large language models (LLMs) to establish a scalable and resilient foundation for advanced AI-driven data modeling. • Proven experience with AWS and Azure cloud platforms. • Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. • Proficiency in scripting languages (e.g., Python, Bash, PowerShell) and infrastructure-as-code. • Experience managing data-centric environments, including support for data pipelines, ML models, and analytics platforms. • Familiarity with containerization and orchestration tools like Docker and Kubernetes. Preferred Qualifications: • Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or similar. • Experience with ML Ops, data lake architectures, and real-time data streaming. • Knowledge of security frameworks and compliance standards (e.g., SOC 2, HIPAA, GDPR). • Background in Agile/Scrum methodologies and project management tools like Jira or Asana. Soft Skills: • Strong leadership and team-building capabilities. • Excellent communication and stakeholder management. • Strategic mindset with a hands-on approach to problem-solving. • Ability to thrive in a fast-paced, evolving environment. What’s In It for You? You will be joining a high profile team and a great company known for its Servant Leadership and “work hard, play harder” culture. Competitive compensation package includes base salary plus annual cash bonus and equity grant (restricted share units) eligibility. We also offer excellent family benefits including: medical, dental, vision, flexible spending account, long term and short term disability, life insurance, 401(k) retirement and unlimited opportunities to "Connect with Your Future." Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

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