Top Scala Jobs

Lead a team to design and deliver cloud-based, distributed microservices and data platforms (Python/Scala/Spark/AWS). Mentor engineers, collaborate with product managers, evaluate and adopt new technologies, and help meet regulatory needs while occasionally coding and reviewing work.

Designs, develops, debugs, and maintains secure, scalable software components as part of an agile team. Writes high-quality code (Scala/Java/Python), applies SDLC tooling and CI/CD, works with big-data and AWS services, and drives adoption of enterprise-authorized AI-assisted engineering practices while ensuring resiliency, security, and operational stability.

Design, implement, and scale Scala-based microservices and high-performance APIs within a DevSecOps environment. Own features from R&D through deployment, collaborate with scientists and end users, and ensure correctness of distributed systems using property-based tests and simulations. Contribute to mission-focused, production-grade software at the tactical edge.

Design and implement scalable microservices and high-performance APIs for resilient distributed computing. Own features from R&D to production, collaborate with scientists and end users, apply typed functional Scala, and use rigorous testing (property-based, simulation) to ensure correctness under network partition and message loss.

Design, develop, and maintain Scala/Akka-based low-latency trading systems on Kubernetes/GCP. Architect scalable, resilient backend services, integrate market data feeds, implement monitoring/observability, troubleshoot distributed systems and networking, and deliver end-to-end production software collaborating with product and engineering teams.

Lead a portfolio and team building distributed microservices and cloud-based backend systems to meet regulatory needs. Mentor engineers, collaborate with product managers, and occasionally code and evaluate solutions using Java/Scala/AWS and related cloud, database, and container technologies.

Lead a team to design and deliver cloud-based backend solutions and distributed microservices using languages like Python, Scala, and Java. Collaborate with product managers, mentor engineers, evaluate code, and use AWS, containers, and data frameworks (Spark) to meet regulatory and customer needs.

Design, build, and maintain Scala-based backend services for evaluation, risk, and trading workloads (real-time auto-liquidation, account state, post-trade). Own end-to-end features, evolve actor-based systems (Akka/Pekko), design Postgres schemas (JSONB), diagnose production incidents, drive code quality, collaborate with cross-functional teams, mentor juniors, and contribute to architecture and modernization decisions.

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.

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.

Develop and maintain FlexONE OMS/EMS features in a fast-paced trading software environment. Design and implement features using Scala/Akka/gRPC, identify performance improvements, fix bugs, support production, gather requirements, and collaborate with team members.

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.

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 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, 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, 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.

Backend developer role building services using statically typed languages (Scala, Java 8). Work includes REST APIs, dependency injection, scalable distributed systems, and using Git and CI/CD pipelines. Contract role with relocation and benefits.

Design and implement Scala/Java web services for ArcGIS Workflow Manager, ensuring security, performance, scalability, and maintainability. Participate in agile ceremonies, code reviews, unit testing, and occasionally implement features in C#, JavaScript/TypeScript, or Python. Collaborate across teams and stay current with development practices.

Design and build an AWS-hosted proxy application to connect Thomson Reuters apps to Amazon Alexa speech APIs. Work with product owners and architects, implement new technologies, build JSON REST APIs, deploy and maintain production services on AWS, and communicate status and roadblocks.

Develop and maintain a reference-data platform using Scala, RDF, REST and DB2. Work on requirements, design, implementation, testing and support within a 35-40 person team, expanding platform functionality and collaborating with other teams. May use BigData and Apache ecosystem technologies.

Design, develop and maintain Java/Scala and Spark-based frameworks and data processing solutions. Implement Spark Streaming and Spark SQL, participate in design and architecture reviews, follow full software development and project life cycles, collaborate with global delivery teams, and work with ancillary technologies (Maven, Git, Hadoop, Kafka, AWS, Docker, Hibernate). Cable/media/video domain experience is a plus.

Design, develop, and maintain Scala/Java web services for ArcGIS Workflow Manager. Produce secure, scalable REST APIs (including websockets), write unit tests, participate in code reviews and agile ceremonies, assist with AWS deployments for the SaaS offering, and implement features in related languages as needed.

Build and maintain Quantifind's Apache Spark batch pipeline and platform services to generate risk signals from diverse data. Design scalable algorithms and data structures, implement ETL pipelines, microservices and REST APIs, deploy on Kubernetes, collaborate with Data Science, DevOps and Product, and ensure robust automated unit and integration testing of distributed systems processing terabytes daily.

Design, build, and maintain Quantifind's Apache Spark batch pipelines and backend platform that generate risk signals from diverse data sources. Implement scalable algorithms, data services, ETL pipelines, and microservices; deploy on Kubernetes and optimize storage/caching and distributed processing. Collaborate with Data Scientists, DevOps, Product, and Sales to deliver performant, testable systems processing terabytes daily.