Top Tech Jobs & Startup Jobs in NYC, NY

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build robust cloud-based solutions using Python, Java, AWS, databases, Docker, Kubernetes, and other technologies. Collaborate with product managers, address regulatory needs, mentor engineers, evaluate code, and stay current with emerging technologies. The role requires at least four years of software engineering experience and cloud computing experience.

Leads software engineering projects and developer teams building distributed microservices and full-stack, cloud-based solutions for risk management and regulatory compliance. Responsibilities include coding and code evaluation, mentoring engineers, collaborating with product managers, adopting emerging technologies, and developing systems using Python, TypeScript, React, AWS, databases, Docker, and Kubernetes.

Develop, implement, govern, and integrate enterprise ontologies and data models. Harmonize linked data, establish semantic and data-standardization guidelines, support knowledge organization and machine-learning integrations, and advocate semantic technology across Finance and Enterprise teams. Use W3C ontology standards and specialized tools to test, troubleshoot, and maintain models while collaborating with Technology, Product, and Machine Learning stakeholders.

Lead a team of software developers and a portfolio of technology projects focused on regulatory risk solutions. Build distributed microservices, full-stack systems, and cloud-based applications using modern programming languages, databases, containers, and AWS services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and deliver resilient solutions in an agile environment.

Leads paid search, social, and display marketing acquisition strategy for small-business card products. Develops marketing innovations, designs market tests, evaluates customer data and credit risk, optimizes audience targeting, and creates strategic roadmaps. Partners with marketers, data scientists, technology teams, agencies, and vendors while managing concurrent initiatives. May supervise and develop one to two analysts.

Leads enterprise ontology and data-modeling strategy, governance, integration, standardization, and roadmap development. Manages teams creating semantic models, taxonomies, linked data, and reusable capabilities while partnering with technology, machine learning, and business stakeholders. Advocates W3C standards, supports knowledge organization workshops, establishes modeling guidelines, monitors industry trends, and mentors team members. Requires expertise in metadata, ontologies, linked data tools, graph technologies, SQL or SPARQL, and semantic standards.

Leads large-scale technical programs and builds highly scalable products and platforms. Responsibilities include identifying technical risks, guiding technology decisions with senior leadership, developing TPM teams and practices, simplifying complex technical issues, coordinating cross-functional stakeholders, and ensuring execution, accountability, and business impact across complex programs.

Leads and develops multiple software engineering teams, mentors engineers, partners with product managers, improves Agile engineering practices, and oversees scalable, resilient full-stack solutions. Directs AWS deployments, modernizes monolithic applications into microservices, promotes innovation, and drives technical excellence, collaboration, and team velocity across customer-focused banking products.

Develops and governs enterprise ontologies, semantic models, and data standards. Partners with Finance, Technology, Product, and Machine Learning teams to integrate semantic technologies, harmonize linked data, improve data discoverability, and support product development. Responsibilities include applying W3C standards, managing ontology tools, testing models, advocating data standardization, monitoring industry developments, and overseeing related projects.

Lead a product organization focused on customer journey confidence across a retail banking platform. Own enterprise testing tools, production testing, and observability initiatives to eliminate manual testing, improve production validation, and connect pre-release testing with post-release monitoring. Drive customer-centered, technology-enabled product strategy, cross-functional alignment, risk mitigation, and execution across platform products.