Top Remote Senior Level DevOps Jobs in Washington DC,

As a Senior Excel VBA Developer at Walker & Dunlop, you will automate real estate financial analysis tasks and report generation using VBA and Excel Macros. You will optimize scripts for data extraction, perform testing, maintain documentation, and support new tool delivery within the team.

The Senior Quality Assurance Engineer at InductiveHealth plays a crucial role in test plan development, test case automation, and enhancing code coverage for software-as-a-service solutions. Responsibilities also include designing and implementing automation frameworks, collaborating with cross-functional teams, and driving automation using Selenium.

As a Front End Engineer at Tucows Domains, you will play a pivotal role in crafting and refining user-facing web applications and components, ensuring pixel-perfect applications, and consistently considering the modularity and scalability of our applications.

The Senior Energy Engineer will manage onboarding of new sites, develop and implement energy management programs, support performance monitoring of energy resources, identify optimization opportunities, and assist business development through proposals and presentations.

As a Staff AI Software Engineer at Vendr, you will lead AI projects utilizing large language models, enhance marketplace tools, and integrate AI into various products. Your role will also involve building scalable AI infrastructure and mentoring team members.

The Solidity Engineer will design, develop, and maintain blockchain-based solutions for a stablecoin ecosystem, focusing on smart contracts and decentralized applications. Responsibilities include integrating with financial systems, conducting audits, optimizing security and transaction speeds, and mentoring junior developers.

The MLOps Engineer will be responsible for training, deploying, and monitoring machine learning models using AWS technologies. They will collaborate with Data Engineers and Data Scientists to develop pipelines and build testing frameworks, leveraging tools like Apache Airflow and Docker. They should have deep knowledge of machine learning frameworks and AWS services for effective model evaluation and implementation.