Top Software Engineer Jobs in Washington DC,

The role involves designing, developing, and testing applications using .NET technologies, building APIs, and implementing AI/ML solutions. Responsibilities include contributing to architectural decisions and mentoring team members.

The Senior Developer will design, develop, and maintain reporting solutions, collaborating with teams to improve financial reporting and analytics using various technologies, including Power BI and SQL.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

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.

Lead design and delivery of scalable, cloud-native healthcare systems and real-time data pipelines. Architect event-driven, batch/stream hybrid solutions, integrate clinical data standards, optimize performance and costs, mentor engineers, and collaborate with product and stakeholders to deploy resilient, compliant services.

Design, develop, test, deploy, and support PHP-based full-stack web applications. Build front-end interfaces, write and optimize SQL for MariaDB, work in Docker environments, deploy to and support AWS-hosted apps, maintain Linux (RHEL 9) servers, and troubleshoot production issues throughout the software lifecycle.

Develop and maintain cloud-based enterprise web applications using React, C#/.NET and/or Python. Build RESTful APIs, work with SQL Server/PostgreSQL, participate in CI/CD and Azure deployments, troubleshoot production issues, follow secure coding and accessibility standards, and collaborate on Agile teams.

The Splunk Consultant will assist in reviews to identify lessons learned, provide general Splunk monitoring, perform analysis, and develop content, requiring strong communication and documentation skills.

Develop and deploy serverless AWS applications, build and maintain REST APIs, implement CI/CD (ADO) pipelines, write automated tests, and use OpenAPI for API-first design.

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.