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Urgent! Senior Cloud & ML Ops Engineer - Databricks Job Opening In Bridgeport – Now Hiring M&T Bank

Senior Cloud & ML Ops Engineer Databricks



Job description

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


    Required Skill Profession

    Computer Occupations



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