Top Scala Jobs

Senior backend engineer responsible for building efficient web services and APIs in Scala, converting business ideas into product components, deploying code frequently, and participating in code reviews within Agile teams. Requires strong software engineering fundamentals and PostgreSQL expertise.

Develop and maintain backend web services and APIs using Scala and PostgreSQL. Participate in daily deployments, convert product ideas into site components, collaborate on team projects, and perform thorough code reviews to ensure high-quality engineering practices.

The Senior Scala/Python Engineer designs and develops scalable back-end systems, architects APIs, optimizes databases, and mentors team members in functional programming practices, enhancing platform reliability and security.

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, 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.

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 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.

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.

The Scala Developer will work on developing applications with strong Scala and Java skills, requiring at least 6 years of experience.

Design and develop customer-facing capabilities while supporting product delivery, managing project communication, and incorporating user feedback into development.

Senior Scala/Spark developer to design and implement Scala applications and Spark-based ETL jobs. Work with Hadoop, SQL, and AWS (S3, EMR, Data Pipeline, Lambda) on CentOS/Unix environments to build and optimize batch data pipelines. Minimum five years experience.