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M&T Bank · 3 days ago

Senior Cloud & ML Ops Engineer - Databricks

Bridgeport, CT

Full-time

Onsite

Senior Level

$126K/yr - $209K/yr

5+ years exp

M&T Bank is seeking a Senior Cloud & ML Ops Engineer who will lead high-impact automation and cloud optimization projects to enhance AI/ML workbenches. This role focuses on ensuring scalability, security, and efficiency while mentoring junior engineers and improving CI/CD processes.

Financial Services

No H1B

Hiring Manager

Jenna Bissonette

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

Qualification

DatabricksCloud infrastructureAI/ML workflowsPythonSQLTerraformApache AirflowCloud securityMentoringCollaborationProject leadership

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

Preferred

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