Top Scala Jobs in NYC, NY

Lead backend engineer responsible for architecting and delivering large-scale distributed microservices for Capital One Travel. Lead projects and mentor developers, collaborate with product teams, design cloud-native solutions using Java/Scala and AWS, and promote shared platform patterns and best practices across stakeholder teams.

The Lead Software Engineer will lead technology projects, develop cloud-based solutions, and work with a team to create a messaging platform for Capital One Travel products.

Design, implement, and maintain scalable software and data ingestion (ETL/streaming) solutions. Optimize DB2 performance, build automation and CI/CD pipelines, apply TDD, troubleshoot in UNIX/Linux, and collaborate with cross-functional teams to support liquidity reporting and risk-management platforms.

Design, develop, and maintain high-performance Scala/Java backend services and RESTful APIs. Work with SQL databases, Git, and Maven; support distributed systems; write unit tests; perform requirements analysis, system architecture, and performance optimization; participate in design reviews and system integration. Obtain T4 Public Trust clearance.

Design, implement, and operate scalable backend services in Scala/Java. Improve reliability, performance, and observability. Own features end-to-end, strengthen APIs and data contracts, integrate ML/LLM capabilities safely, enforce testing and engineering standards, mentor peers, and support incident response and deployment readiness.

Lead architecture and technical direction for core Scala/Java systems, drive cross-team delivery, improve reliability and performance, standardize platform patterns and tooling, embed secure-by-design practices, mentor senior engineers, and advance AI-first engineering workflows. Collaborate with global teams and support occasional international travel.

Design, develop, and maintain scalable backend services and distributed systems using Scala, Java, and the Akka ecosystem; build RESTful APIs and cloud-native solutions on AWS; design data access with Slick/SQL; maintain CI/CD pipelines; participate in architecture, code reviews, troubleshooting, and performance improvements.

Design, develop, optimize, and deploy high-performance data processing applications using Scala and Apache Spark on Cloudera CDH. Build and tune ETL pipelines integrating HDFS, Hive, Impala, HBase, and Kafka. Ensure data integrity and security, troubleshoot performance, collaborate with data scientists and analysts, and implement version control and CI/CD.

Design, develop, optimize, test, and deploy large-scale Spark/Scala data processing and ETL pipelines within the Cloudera ecosystem. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance issues, and implement version control and CI/CD for production data solutions.

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

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.