Top Senior Level DevOps Jobs in Washington DC,

You will design, build, operate, and maintain critical full-stack applications while owning reliability and performance. You'll mentor team members and participate in feature delivery, from ideation to shipping. Focus areas include a Query Library and improving accessibility through innovative tooling.

The Head of Solution Engineering will lead the Enterprise team at Fundraise Up, focusing on enhancing presales and implementation activities, driving revenue growth, and ensuring customer satisfaction. Responsibilities include managing team performance, collaborating with sales and customer success, overseeing Enterprise deals, and maintaining relationships with key stakeholders.

The Senior Software Engineer will focus on DevOps and Site Reliability, primarily working on high-throughput banking systems, deploying applications with zero downtime, mentoring team members, and collaborating closely with leadership to achieve goals.

As a Full-Stack Blockchain Engineer, you will design, implement, test, and review the security of multi-chain products. Collaborate with teams to gather requirements and ensure best practices in secure product development while staying updated on industry trends.

As a Senior Integration Engineer at Ascend, you will integrate software with external systems for renewable energy assets. Responsibilities include designing and implementing integrations, troubleshooting issues, and providing client support throughout the onboarding process and beyond.

The Senior Solutions Engineer at Haynes and Boone will design, develop, and implement software solutions and integrations tailored to the firm’s business needs, collaborating with cross-functional teams, and troubleshooting complex issues. The role involves managing databases, developing ETL processes, and vetting new technologies to enhance the firm's IT capabilities.

The Senior GenAI Engineer will architect and implement AI-driven solutions in healthcare, leveraging generative AI technologies. Responsibilities include collaborating with teams to optimize AI features, leading complex projects, and integrating state-of-the-art language models into applications.