Top Remote Scala Jobs in Washington, DC

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development 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.

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.

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.

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.

Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models, delivers production deployments, and produces reusable assets while collaborating with customers and cross-functional teams.

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

Design, build, and maintain scalable Azure data pipelines and platforms using Azure Databricks, Synapse, Data Factory, and Microsoft Fabric. Implement IaC (Bicep/ARM/Terraform), CI/CD with Azure DevOps, monitor platform stability, optimize Spark jobs, and collaborate with architects and stakeholders to meet business requirements.

Lead design and implementation of high-throughput, low-latency programmatic bidding systems. Collaborate with ML engineers to deploy real-time inference, optimize distributed microservices, run experiments and quantitative analysis, and partner with product to ship scalable features. Foster operational excellence, mentor engineers, and continuously improve performance and reliability.

Lead full-stack technical work to build and scale Carbon Health's platform and product experiences across web and mobile. Drive architecture and implementation for scalable microservices and frontend apps, promote engineering best practices, collaborate cross-functionally, and mentor engineers as a technical leader.

Lead end-to-end feature development across frontend and backend for an enterprise data analytics platform. Design, implement, and maintain React UIs, backend services, APIs, databases, and distributed systems. Collaborate with Product, UX, and Engineering, mentor engineers, improve quality through testing/CI, and introduce new technologies including AI-assisted development.

Define and socialize end-to-end architecture for a multi-tenant, cloud-native SaaS data platform. Lead designs for streaming, low-latency query, multi-cloud deployments, security/compliance, SRE practices, and AI/agent integrations while mentoring senior engineers and influencing executive and customer decisions.

As a Senior Software Engineer at MNTN, you'll design and operate backend systems for ad delivery, ensuring high performance and reliability. You'll work with Java, Kotlin, and Scala to handle high-throughput services and contribute to architectural decisions while improving system efficiency.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

Lead multiple Agile teams to design, build, and deliver large-scale Java/Linux applications and big-data solutions. Drive engineering excellence via automated testing, DevOps/CI, mentorship, backlog grooming, and cross-organizational influence to advance CAS products.

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.

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.

You will design, build, and maintain scalable applications using Java and JavaScript, collaborating across teams and managing databases.

The Senior Backend Engineer will design and build backend systems for a multi-cloud platform, ensuring performance, scalability, and high quality while collaborating with various teams and stakeholders.