Top Remote Senior Level Python Jobs

The Full Stack Python Developer will collaborate with project delivery staff to design and implement features for energy efficiency programs. Responsibilities include writing secure Django-based code, managing version control with Git, ensuring data privacy, and documenting code effectively.

The Sensing Solutions Architect is responsible for bridging product development, pre-sales, and delivery by facilitating demonstrations, prototyping, and supporting client presentations throughout the sales cycle. Role includes defining customer requirements, working with sales teams, and participating in engineering activities.

The Lead Data Engineer / Full Stack Engineer will design and build data engineering solutions, create data pipelines, enhance data quality, and support the development of dashboards and visualizations. The role requires expertise in AWS stack, SQL, and big data technologies to facilitate efficient healthcare data management and reporting.

The Senior Product Engineer will build and scale production applications, focus on user needs and UX polish, and develop backend services. The role requires collaboration in a fast-paced environment and end-to-end project management with minimal direction.

The Solutions Architect will lead the design and architecture of web-based solutions on the Salesforce platform, ensuring they align with business goals. Responsibilities include customization, stakeholder collaboration, and technical governance, while mentoring development teams and implementing best practices.

As a Senior Site Reliability Engineer at Business Wire, you will ensure the availability, reliability, and scalability of the company's infrastructure and applications by designing highly automated systems, maintaining monitoring and alerting systems, and improving application performance. You'll participate in incident management and support critical programs, requiring extensive experience with cloud infrastructure and networking.

Join Redis's core AI team to research, design, and implement advancements for Large Language Models (LLMs), focusing on optimization for relevance, latency, and privacy. Responsibilities include model optimization, tool development, and addressing complex NLP problems. Ideal for a self-directed individual with expertise in machine learning models and NLP.