Top Tech Jobs & Startup Jobs in NYC, NY

Senior frontend developer responsible for Angular-based UI development, implementing responsive HTML/CSS/TypeScript components, CI/CD and automated testing, collaborating on distributed agile teams, debugging across browsers, and integrating with backend REST/Java services. Prefers banking domain experience.

Design, implement, and maintain PySpark applications to automate large-scale financial data reconciliations. Build transformation and matching algorithms, integrate with rules engines, analyze data gaps, and collaborate with analysts and architects to ensure data quality and system resilience.

Facilitate Agile ceremonies, coach Scrum teams, remove impediments, manage backlog with product owners, track velocity, foster continuous improvement, and collaborate across teams to deliver high-quality software on time.

Lead and coach software teams in Agile/Scrum practices, remove impediments, facilitate ceremonies, improve processes and transparency, report KPIs, and support delivery of web and mobile applications using servant leadership.

Architect and develop scalable enterprise Java/J2EE applications and microservices. Provide technical leadership, design integrations, optimize performance, collaborate with stakeholders, and ensure best practices across development teams.

Senior mainframe developer to design, code, and test core banking Systematics modules. Lead data sourcing, migration strategy, product mapping, gap analysis, and client impact assessments. Produce high-level and detailed technical designs, perform peer code reviews, support end-to-end testing, and mentor junior team members using agile and waterfall methodologies.

Architect and lead migration of IBM DataPower and SOAP-based integrations into Java Spring Boot microservices. Design cloud-native, secure, event-driven architectures using Kafka and IBM MQ, define standards and API frameworks, optimize performance, and mentor teams through deployment, observability, and migration documentation.

Design, build, and optimize PySpark applications and ETL pipelines to process large-scale datasets from SQL/NoSQL sources, data lakes, and streaming platforms. Ensure data quality, error handling, performance tuning, and collaborate with analysts, scientists, and architects to deliver scalable data solutions.

Support and manage Private Bank applications including risk deliverables, change/issue requests (CRQ/EMR/ERP), and Jira BAU stories. Interface with technology and business partners, document processes, complete audited deliverables, and train teammates within an Agile environment as an individual contributor.

Lead design and implementation of high-performance Spark-based data processing and analytics solutions on Cloudera. Build and optimize ETL pipelines, ensure data integrity and security, troubleshoot platform performance, and implement version control and CI/CD for Spark applications while collaborating with data scientists and stakeholders.