Webster Bank · 2 days ago
DevOps Manager
Stamford, CT
Full-time
Hybrid
Mid, Senior Level
$110K/yr - $125K/yr
5+ years expWebster Bank is a leading commercial bank focused on serving clients and supporting communities. The DevOps Manager role involves designing, implementing, and maintaining infrastructure and data pipelines for Finance Analytics, while collaborating closely with data scientists and analysts to build production-ready data science solutions.
Banking
Hiring Manager
Bridgette Yang
Responsibilities
Develop expert knowledge and experience with Webster’s data systems and tools
Design, deploy, and maintain serverless infrastructure and model pipelines. Designing, building, and maintaining infrastructure
Execute and support CECL Quarterly Production Process and Annual Refresh
Build, automate, and monitor statistical and machine learning model workflows from development to production
Analyze and organize systems and datasets to derive actionable insights and create efficient and low maintenance pipelines
Develop data workflows to support data ingestion, wrangling, transformation, reporting and dashboarding
Build and manage CI/CD pipelines to ensure reliable, secure, and repeatable deployments
Collaborate across teams to analyze requirements and propose infrastructure or pipeline solutions
Use Snowflake for data access and processing, including creating robust data pipelines and integrations
Manage data science notebooks in production environments (e.g., SageMaker Studio,JupyterHub)
Use Git for version control and workflow management across codebases and projects
Collaborate with cross-functional teams to understand data requirements and implement effective solutions
Qualification
Required
5+ years of experience working in data engineering and/or DevOps specializing in AI and Machine Learning deployment
Experience working with complex data structures within a RDMS (Oracle, SQL)
Experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
Proficient in Python/SAS Programming Language
Experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
Familiarity with commercial & consumer banking products, operations, and processes, or risk & finance background/experience
5+ years of experience leveraging cloud services and capabilities of computing platforms (e.g., AWS SageMaker, S3, EC2, Redshift, Athena, Glue, Lambda, etc. or Azure/GCP equivalent)
Experience in Reporting and Dashboarding tools (e.g.- Tableau, Qlik Sense)
Extensive experience with design, coding, and testing patterns as well as engineering software platforms and large-scale data infrastructures
Experience in DevOps and leveraging CI/CD services: Airflow, GitLab, Terraform, Jenkins, etc
Experience with Data Science project implementation
Experience in documenting processes, scripts, memos clearly for internal knowledge sharing and audits
Strong analytical and problem-solving skills and ability to work in a collaborative team environment
Excellent communication skills to convey complex technical concepts to non-technical stakeholders
Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent
Time management skills are needed to prioritize multiple tasks
Bachelors, Masters' or Ph.D. degree in computer science, data science or other STEM fields (e.g., physics, math, engineering, etc.) Other degrees with a strong computer science and/or data science background also acceptable
Preferred
Familiarity with Docker and Kubernetes for containerized deployments
Experience with Terraform, AWS CDK, or other infrastructure-as-code tools
Knowledge of ETL/ELT pipelines and orchestration tools
Understanding of monitoring/logging best practices in cloud-based environments
Familiarity with the SAS programming language
Experience using Confluence for documentation and collaboration
Knowledge of Tidal or other workflow automation and scheduling tools
Experience in developing constructive relationships with a wide range of different stakeholders
Experience in developing Machine Learning and Deep Learning models
Ability to independently gather data from various sources and conduct research
Ability to think 'out of the box' and provide suggestions on ways to improve the process
Benefits
Incentive compensation
Company
Webster Bank
Webster is a commercial bank that provides financial services to corporations, individuals, families, and partners.
1001-5000 employees
H1B Sponsorship
Webster Bank has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (4)
2023 (5)
2022 (3)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$653MKey Investors
Greystone
2025-09-11Post Ipo Debt· $350M
2024-12-02Post Ipo Debt· $303M
2002-10-17IPO
Leadership Team
Neal Holland
Chief Financial Officer
D
Daniel Gioia
Sr. Managing Director
Recent News
Hartford Business Journal
2025-11-06
How to prevent transformation outcomes from quietly collapsing | CIO
2025-11-03
Company data provided by crunchbase