AML Technology

M&T Bank•Buffalo, NY

11d•$116,400 - $194,000•Hybrid

About The Position

The Team Tech Lead is the senior technical leader and engineering quality steward for an Agile delivery team supporting KYC and BSA/AML technology solutions. The role provides technical direction across application development, data engineering, system integration, and platform modernization. The Lead guides architecture and design decisions, establishes engineering standards, mentors engineers, helps resolve complex technical challenges, and ensures solutions are secure, scalable, supportable, and aligned with M&T technology standards. The role is four days onsite at the Seneca One location in Buffalo, New York, with the flexibility to work from home one day per week. The annual pay range is $116,400 to $194,000 USD; specific compensation depends on the successful candidate’s knowledge, skills, and experience.

Requirements

A combined minimum of 9 years of higher education and/or work experience, including a minimum of 4 years of engineering and/or architecture experience and 3 years of leadership experience.
Experience with .NET/C# development.
Experience with SSIS development and support.
Experience with SQL Server.
Experience with REST APIs and microservices.
Advanced SQL development and SQL performance tuning experience.
Experience with application and system integration.
Experience with GitLab CI/CD pipelines.
Experience with SAST/DAST vulnerability remediation.
Experience with automated testing and engineering-quality practices.
Experience using AI-assisted software development, testing, troubleshooting, and technical documentation tools.
Production troubleshooting and root-cause analysis experience.
Application and database performance optimization experience.
Experience implementing and supporting KYC and/or BSA/AML technology.

Nice To Haves

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent relevant experience.
Financial-services technology experience, including KYC/BSA/AML experience.
Strong software engineering and solution-design experience.
Demonstrated technical leadership of engineering teams or complex technical initiatives.
Strong experience mentoring and developing engineers or teams.
Experience designing and integrating applications using established architecture principles and patterns.
Strong experience across application, database, API, and data-integration technologies.
Ability to research complex technical issues, evaluate multiple approaches, and clearly articulate recommendations and trade-offs.
Strong communication skills and ability to work across engineering, architecture, product, business, risk, and management stakeholders.
Experience working in an Agile engineering environment.

Responsibilities

Provide technical leadership for KYC and BSA/AML applications, data platforms, integrations, and services.
Apply technical expertise in Know Your Customer (KYC) and Bank Secrecy Act/Anti-Money Laundering (BSA/AML) technology environments.
Provide technical leadership for .NET application development, services, APIs, and microservices.
Lead the design, development, and optimization of SSIS-based data integration solutions, SQL Server databases, and enterprise data pipelines.
Translate business, regulatory, and operational requirements into scalable technical solutions.
Guide solution design and implementation, evaluate technical approaches, and communicate trade-offs involving performance, scalability, maintainability, security, resiliency, and complexity.
Partner with enterprise Architecture, infrastructure and platform teams, Product Owners, and other Leads on solutions and cross-team dependencies.
Conduct and guide architecture, design, and code reviews for complex changes.
Mentor developers in modern development practices and service-oriented architecture.
Establish and enforce code-review, branching, testing, and deployment practices.
Drive improvements in automated testing, code quality, technical documentation, and engineering controls.
Proactively identify and manage technical debt.
Demonstrate proficiency with AI-assisted development tools and promote their responsible use across the software-development lifecycle.
Identify opportunities to apply AI tools to accelerate software development, unit-test development, troubleshooting, code analysis, and technical documentation.
Lead investigation and resolution of complex issues across application components in production and other environments, including root-cause analysis and performance optimization.
Identify opportunities and provide technical leadership to simplify legacy implementations, reduce operational risk, and improve maintainability.
Work with engineering and support teams to strengthen application resiliency, monitoring, recoverability, and operational readiness.