Top Senior Level Python Jobs

The Senior Applications Engineer at HPR will solve complex technical problems for major financial institutions, provide top-notch customer support, develop technical proficiency in products, and collaborate closely with engineering teams. Additionally, the role involves delivering customer training and engaging with clients via various communication channels.

The Senior HighJump Engineer will develop and maintain HighJump implementations, design workflows, and optimize SQL Server stored procedures. Responsibilities include system upgrades, mentoring team members on best practices, providing tier 3 support for users, and identifying process improvement opportunities.

As a Software Engineer at Clear Street, you will design and implement new features for the Client Reporting platform to enhance scalability and efficiency. Your role involves complex financial transaction processing, system design, code implementation, and mentoring team members to uphold engineering standards.

The Senior Software Engineer will architect and engineer productivity optimization solutions, collaborate with technical experts, and maintain awareness of emerging technologies to improve solutions. Responsibilities include providing technical support, ensuring quality and cost-efficiency in applications, and leveraging Python, Javascript, AWS, and CI/CD practices.

The Staff AI Implementation Engineer will implement AI products on the Now platform for early adopter customers, learn about new features, debug issues, and provide expert guidance on AI solutions. They will also collaborate with teams to enhance product capabilities based on customer feedback.

As a Senior Engineer at Centerfield, you will develop digital advertising technology and web applications using NodeJS and Python, lead technical projects, and enhance the company’s technology infrastructure while ensuring high code quality and ownership of projects.

The Business Transformation Architect will design and implement transformative business processes, aligning technology with business goals. Responsibilities include developing a data strategy, establishing governance frameworks, managing KPIs and metrics, integrating AI into workflows, optimizing operational processes, and improving the tech stack's efficiency. The role emphasizes cross-functional collaboration to enhance decision-making and operational effectiveness.