Top Scala Jobs in Washington, DC

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

The Senior Quality Engineer will enhance the automation framework, improve automated coverage, drive quality in compliance-critical software, and establish testing pipelines while collaborating with multiple teams.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

As a Staff Software Engineer, you'll design and operate traffic infrastructure, lead multi-team projects, ensure service reliability, and mentor engineers while utilizing AI tools for development efficiency.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

The Senior Backend Engineer will develop the Payroll product, overseeing the entire development cycle from design to deployment, in a microservices architecture.

As a Senior Software Engineer, you'll design architecture, mentor engineers, and drive the adoption of AI practices to enhance development workflows and system reliability.

Lead architecture and design for highly available, low-latency cloud services. Drive AI-first engineering practices, evaluate and integrate AI-assisted development tools, mentor engineers, perform code and architecture reviews, and collaborate with Product and Design to build scalable, observable, and automated systems.

Lead engineer responsible for designing, developing, and optimizing petabyte-scale distributed data processing systems (Hadoop/Spark/Hive/Trino) on AWS. Leads performance tuning, system architecture, DevOps/CI-CD, security, AI tool adoption, and mentors engineers to improve product quality and delivery.

The Senior Software Engineer will build and enhance 15Five's Data Intelligence Platform while collaborating with Data Science and Product Engineering teams.

Manage and automate infrastructure for on-prem and cloud deployments using infrastructure-as-code. Build, deploy, and operate services (containers, orchestration, fleet management), improve observability and availability, support security practices, and collaborate with cross-functional teams to scale and operationalize ML and web applications.

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.

Design, build, and operate scalable infrastructure as code (Terraform/OpenTofu) for hybrid data center and AWS deployments. Own automation, Kubernetes/EKS orchestration, observability, security controls (FedRAMP/FISMA/IL4-5), and cross-team collaboration. Mentor engineers, automate deployments, document systems, and improve operational performance for a SaaS platform.

Lead a team of 4 to 6 software engineers, driving operational, technical, and communication efforts to deliver impactful software solutions in healthcare technology.

The Software Engineer will modernize the platform, enhance legacy systems, design new services, and collaborate on architecture, leveraging various technologies and engineering practices.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Lead performance, reliability, and cost optimization across Spark and streaming pipelines (Kafka/Flink), define data contracts, and establish best practices and tooling. Collaborate with platform, product, and deployment teams to deliver production-grade data systems on AWS GovCloud, Kubernetes, and Airflow.

As a Staff Software Engineer, you'll design and develop systems to integrate AI in healthcare payment processes, mentor engineers, and optimize workflows.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

The Staff Software Engineer will design and build scalable backend systems, lead projects, and contribute to enterprise software solutions, focusing on application architecture, API development, and ML techniques.

Lead backend development for MapMyFitness, collaborate with product/marketing/design, build and maintain APIs for mobile clients, respond to bugs, monitor and resolve incidents, ensure high availability, ship maintainable/testable code, and drive major architectural changes for a platform used by millions.

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.

Lead two engineering teams owning the WMS platform: people management, predictable sprint delivery, platform enhancements, production reliability, incident leadership, and cross-team alignment with product and peers.