• Senior Cloud & ML Ops Engineer - Databricks

    M&T Bank (Bridgeport, CT)


    _Please note that this position is not open to anyone on a H-1B or F-1 student visa including those eligible for CPT/OPT or the Stem OPT extension._

     

    The Senior Cloud & ML Ops Engineer builds upon the expertise of Engineer II by leading high-impact automation and cloud optimization projects, ensuring scalability, security, and efficiency in AI/ML workbenches. This role focuses on enhancing data accessibility, integrating advanced AI-driven automation, and mentoring junior engineers.

     

    This senior role requires a deep understanding of cloud infrastructure, workflow automation, and AI/ML platform governance. The Senior Engineer is expected to own critical production pipelines, improve CI/CD processes for ML models, and implement best-in-class security frameworks for data science environments.

    Why This Role Matters:

    The Senior Cloud & ML Ops Engineer plays a critical role in enabling enterprise-scale AI/ML innovation by ensuring that data science teams have a secure, scalable, and high-performing infrastructure. By leading automation efforts, optimizing cloud environments, and mentoring the next generation of engineers, this role directly impacts the efficiency and success of AI-driven business strategies.

    Position Responsibilities:

    + Lead automation initiatives to improve the scalability and efficiency of AI/ML workflows.

    + Architect and maintain highly available cloud-based data science environments on platforms like Databricks and Snowflake.

    + Enhance monitoring and observability for AI/ML infrastructure, ensuring performance optimization and cost efficiency.

    + Improve and enforce security and compliance measures across data science environments.

    + Develop and refine CI/CD pipelines to streamline model deployment and management in production.

    + Collaborate with data scientists and engineers to drive innovation and operational excellence.

    + Mentor junior engineers by providing guidance on infrastructure best practices, cloud security, and automation.

    + Optimize cloud cost management strategies to ensure efficient resource utilization.

    Minimum Qualifications Required:

    + Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.

    + 5+ years of experience in cloud-based infrastructure management and AI/ML workbench administration.

    + Expertise in Databricks, and cloud-based data platforms (AWS, Azure, GCP).

    + Strong programming skills in Python, SQL, and automation scripting (Terraform, Bash, or similar).

    + Experience with workflow orchestration tools such as Apache Airflow or Prefect.

    + Deep understanding of cloud security, IAM roles, and governance best practices.

    + Proven ability to lead projects and mentor junior engineers.

    Nice to Have (Preferred Qualifications):

    + **Certifications:** Azure/AWS/GCP Data Architect, Databricks Advanced Developer, with additional credentials in cloud-based data engineering, scalable pipeline design, and end-to-end data integration.

    + Experience integrating machine learning models into production pipelines.

    + Proficiency in Kubernetes, Docker, and containerized AI/ML workloads.

    + Experience working with real-time data streaming technologies such as Kafka or Kinesis.

    + Strong knowledge of FinOps for cloud cost optimization.

    + Strong regulatory modeling experience.

    \#LI-JB3

    M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $119,400.84 - $199,001.40 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

     

    Location

     

    Bridgeport, Connecticut, United States of America

     

    M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.