Job Description
Job Title : Data & Cloud Engineering Manager
Work Location : The Woodlands, TX (4-days onsite)
Education / Experience Required : 7+ years of experience in DevOps or cloud infrastructure roles, with 3+ years in a leadership or managerial capacity.
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.
Skills & Qualifications
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.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.For more information or to view other opportunities, visit us at www.paladininc.com.
Paladin Consulting is an EEOC employer.
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