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Top Senior Level Python Jobs in Washington DC,
As an AI Solutions Architect at Soluna Cloud, you'll help clients implement AI solutions, creating bespoke systems that foster innovation and address business challenges. Your role will involve collaborating with customers, developing scalable solutions, and optimizing AI deployment while focusing on sustainability and renewable energy integration.
As a Staff Software Engineer, you will lead project teams, engage with clients to capture requirements, guide technical decisions, and ensure reliable application architectures while mentoring junior team members.
The Back-End Software Engineer will develop and optimize AI RAG agents, ensure integration with OpenAI Chat API, design data processing pipelines, and enhance chatbot capabilities while contributing to system architecture and mentorship.
As a Quantum Application Software Developer, you will design, build, and deploy software tools for developing fault-tolerant quantum applications, collaborating with architects and engineers to create toolkits that enable new quantum applications and algorithmic techniques.
The Sr Principal Cloud Architect will lead the design and implementation of resilient and scalable cloud architectures for Zuora's SaaS billing infrastructure, ensuring compliance and optimization of cloud resources while providing technical leadership across cross-functional teams.
As a Senior Full Stack Software Engineer at Paradigm, you will develop mission-critical cloud-based applications and APIs while collaborating with cross-functional teams to solve complex business problems, maintain high code quality, and drive best practices in software development.
The Staff Software Engineer will scope and lead technical projects, design and maintain APIs and services, debug production issues, and balance business priorities with user experience. The role requires extensive experience in building B2B or B2C SaaS products.
As a Staff Software Engineer for Capacity Engineering at Pinterest, you'll enhance the efficiency and performance of large-scale distributed systems, manage shared cloud-native infrastructures like Kubernetes, and collaborate with various engineering teams to create resilient tech foundations.
As a Senior MLOps Engineer, you will develop and maintain MLOps infrastructure, collaborate with data scientists to deploy models, and automate CI/CD pipelines. Responsibilities include optimizing workflows, ensuring compliance, and providing technical guidance on best practices in MLOps.
As a Senior Platform Engineer, you will enhance LaunchDarkly's infrastructure, collaborating with engineering teams to improve their development lifecycle, design automated tools, troubleshoot delivery pipeline issues, and maintain a strong connection with product delivery engineers to develop proactive solutions.
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