Top Tech Jobs & Startup Jobs in NYC, NY

Leads software quality engineering across digital banking products by designing scalable automated tests, expanding frameworks, integrating testing into CI/CD, analyzing defects, and closing testing gaps. Partners with engineering and product teams on quality strategy, reviews automation code, mentors SDETs and QA professionals, leads testing teams, supports bug triage, and establishes consistent testing standards across multiple product areas.

Manages base pay, incentive compensation, job evaluation, salary surveys, performance management, and compensation compliance. Advises business leaders on complex compensation matters, maintains competitive and equitable programs, coaches team members, and monitors market trends. Requires a bachelor’s degree or equivalent experience, four years of compensation experience, and one year of people management experience.

Designs and supports hybrid cloud networking infrastructure across Azure environments, including hub-and-spoke, Virtual WAN, VPN, ExpressRoute, routing, and DNS. Leads infrastructure automation, Infrastructure as Code, CI/CD, observability, governance, and security initiatives. Troubleshoots complex infrastructure issues, develops architecture standards, documents solutions, mentors engineers, conducts code reviews, and partners with technical and business stakeholders. Participates in on-call rotations and occasional after-hours deployments.

Designs and develops complex cloud-native data solutions, scalable batch and real-time pipelines, APIs, data models, and enterprise data platforms. Implements data governance, quality, lineage, security, observability, CI/CD, automated testing, and operational reporting capabilities. Collaborates with architects, product owners, analysts, governance, security, and platform teams on technology strategy and cloud modernization. Mentors engineers, leads technical design discussions, presents recommendations, and supports AI-ready data products and emerging development tools.

Develops, calibrates, validates, and maintains credit risk models, including PD, LGD, and EAD models, for lending, collections, loss forecasting, capital planning, and stress testing. Analyzes large datasets, evaluates model performance, documents model changes, supports systems testing, and communicates statistical insights to stakeholders and management. Collaborates across the credit union to improve risk-return strategies and reporting.

Lead design and delivery of scalable, secure lending and credit card solutions. Drive cloud-first modernization (Azure/cloud), API and integration strategy, production stability, prototypes, and mentor engineering teams while influencing enterprise architecture and business-aligned technical direction.