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.
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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.LocationBridgeport, Connecticut, United States of AmericaTop Skills
What We Do
M&T Bank is a multi-state community-focused bank serving New York, Maryland, New Jersey, Pennsylvania, Delaware, Connecticut, Virginia, West Virginia and Washington, D.C. Founded in 1856, the company provides banking, investment, insurance and mortgage financial services to more than 3.6 million consumer, business and government clients.
