Top Senior Scala Jobs in Washington, DC

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.

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.

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.

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.

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.

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.

Develop and maintain language frontends for the Joern platform for automated software vulnerability analysis, collaborating with a global team.

Lead backend architecture and implementation for scalable, reliable cloud-hosted web products. Mentor engineers, set standards, integrate agentic AI coding tools, design systems applying ML to large datasets, and balance customer-facing features with technical debt and performance.

Design, build, and maintain data platform tools, ensuring data quality and integrity. Collaborate with data science teams and enforce best software practices.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.