Top Tech Jobs & Startup Jobs in NYC, NY

Design and develop Big Data applications using Java, Spark, and MapReduce on Cloudera/Hadoop ecosystems. Work with Hive, Impala, YARN, Kafka, and large datasets; write tests (JUnit), perform data analysis, and script in Unix/Python. Lead and manage global technology teams and follow industry best practices.

Design and architect end-to-end, scalable solutions for financial and investment systems using Java, Spring Boot, microservices, cloud (AWS/Azure), data platforms, and observability. Provide technical leadership, define SLIs/SLOs, guide implementation (containers, Kubernetes, Azure AD auth), and collaborate with stakeholders to ensure alignment with enterprise architecture and security.

Lead architecture and delivery of large-scale microservices systems, define standards and roadmaps, mentor engineers, ensure scalability/resilience, oversee CI/CD, observability, data strategy, and cross-functional technical alignment.

Design, develop, and execute automated test strategies for data pipelines, ETL processes, and data warehouses. Create and maintain automation frameworks and CI/CD-integrated test suites, perform data validation and reconciliation using complex SQL and PySpark, identify and track defects, and collaborate with development and data teams to improve data quality and system reliability.

Lead P&L and strategic growth for a portfolio of Fortune 500 accounts. Own account roadmaps, revenue and profitability targets, governance, and customer satisfaction. Manage delivery teams, coordinate with Pre-Sales and technical stakeholders, drive project delivery, and remove execution constraints to achieve quarterly growth and maintain high CSAT.

Design, implement, and operate scalable GCP infrastructure using IaC (Terraform/Deployment Manager). Build and maintain CI/CD pipelines, monitor systems (Dynatrace/Stackdriver), manage security/compliance, support development/production environments, automate tasks with scripting and config management, and optimize cloud costs.

Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines within the Cloudera Hadoop ecosystem. Collaborate with data scientists and analysts, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, and implement version control and CI/CD for Spark applications.

Entry-level developer working with Python or JavaScript to design, build, test, and maintain software. Collaborate with senior developers, participate in code reviews, debug, and learn new technologies while contributing to the full software development lifecycle.

Architect and lead design of scalable, secure solutions across backend, frontend, and data platforms. Lead Java (Spring Boot) APIs, Python data processing, big data (Spark/Hadoop), microservices, RESTful APIs, Angular front-ends, CI/CD, containerization, and cloud-native deployments. Provide architectural guidance, conduct code reviews, mentor engineers, and collaborate with product and DevOps teams to deliver production-ready systems.

Lead development of high-performance Java backend applications across the full lifecycle. Design and implement REST APIs, ensure multithreaded synchronization on multicore systems, apply enterprise architecture and OOP best practices, use Spring/Hibernate and Oracle PL/SQL, work in Agile with global teams, and communicate with business stakeholders.