Top Tech Jobs & Startup Jobs in NYC, NY

Leads full-stack software engineering and technical delivery for enterprise applications across the Microsoft .NET and Azure ecosystem. Designs scalable architectures, APIs, integrations, distributed and event-driven systems, and cloud-native solutions. Provides hands-on development, code reviews, troubleshooting, DevOps collaboration, CI/CD, production support, and operational improvement. Mentors engineers, coordinates technical delivery, manages risks and dependencies, and partners with Product, Architecture, Security, QA, and infrastructure teams.

Supports governance, monitoring, and IT General Controls for third-party relationships and external users. Responsibilities include due diligence, risk classification, identity and access oversight, least-privilege reviews, access certifications, MFA and DLP monitoring, incident escalation, remediation tracking, audit support, reporting, business continuity and disaster recovery activities, offboarding controls, process documentation, and stakeholder coordination across IT, security, compliance, legal, HR, and vendor management.

Creates, maintains, and improves sales training content, including job aids, knowledge articles, SharePoint resources, slide decks, videos, and e-learning courses. Collaborates with training, marketing, communications, operations, and subject matter experts to ensure accurate, accessible, and on-brand materials. Performs quality reviews, integrates feedback, supports regulatory and system updates, and helps equip mortgage sales teams with effective learning resources.

The Principal QA Architect owns the strategy, architecture, delivery, and adoption of enterprise QA technology solutions. Responsibilities include designing automation frameworks, AI-enabled testing capabilities, reporting, observability, test data solutions, CI/CD quality gates, and integrated platforms. The role remains hands-on with software development, prototyping, integrations, and troubleshooting while providing technical leadership, mentoring, roadmap ownership, stakeholder influence, and outcome measurement across QA and software delivery teams.

Establishes enterprise-wide integration strategy, governance, API and data interoperability standards, and long-term architecture direction. Advises executives and technical leaders, guides platform and vendor selection, manages integration ecosystems across hybrid and multi-cloud environments, and develops roadmaps, models, KPIs, and compliance practices. The role influences architectural decisions, mentors technical teams, supports proof-of-concepts, and promotes scalable, secure, and coherent enterprise architecture without serving as the primary implementer.

Designs and delivers AI training and enablement programs, including workshops, labs, webinars, playbooks, knowledge bases, and rollout materials. Translates technical AI capabilities for business audiences, incorporates responsible AI and compliance standards, assesses organizational needs, and measures adoption and effectiveness. Partners with AI, data, product, and IT teams while maintaining current content, identifying adoption barriers, and improving learning experiences across business units.

Owns enterprise data governance activities, including metadata management, data cataloging, data quality rules, lineage, profiling, report certification, PII handling, and governance workflow automation. Partners with data stewards, IT teams, business stakeholders, and senior leaders to improve data integrity, regulatory compliance, reporting quality, and governance processes. The role also supports training, stakeholder workshops, process improvement, and mentoring of less experienced professionals.

Supports marketing and marketing technology initiatives by gathering and documenting requirements, user stories, workflows, data flows, and acceptance criteria. Partners with Marketing, Product, Engineering, QA, Compliance, vendors, and other stakeholders on websites, landing pages, CMS, analytics, tagging, SEO, forms, integrations, and accessibility. Translates business needs into actionable requirements while addressing APIs, data mapping, permissions, errors, dependencies, and system performance.

Manages and implements Microsoft 365 services, including SharePoint, Power Platform, Azure, and OneDrive. Builds solutions, administers configurations, maintains governance and development standards, resolves platform issues, and addresses automation failures and technical debt. Tracks work through Jira or Azure DevOps, supports citizen developers, monitors platform updates, and documents policies. Provides technical guidance to junior administrators and contractors, assigns work, oversees projects, and handles escalated issues.

The Senior Data Analyst gathers business and data requirements, assesses data quality and sources, maintains data dictionaries and lineage, defines KPIs, validates reports, and delivers actionable insights. The role supports data governance, PII protection, integrations, data transformation, platform performance, business continuity, and process improvement. It collaborates with stakeholders and data teams, mentors colleagues, resolves complex issues, and contributes to enterprise data strategy and technology decisions.