Top Remote Python Jobs in Hartford, CT

As a Senior Software Engineer at Coinbase, you will build user features for productivity applications, leveraging AI/ML technologies. You will lead assessments of third-party tools, mentor team members, and work collaboratively across teams to solve complex problems related to customer service and compliance processes.

As a Full Stack Engineer at HumanSignal, you will develop and maintain both backend and frontend components of the data labeling platform, design RESTful APIs, create responsive user interfaces, and collaborate with teams to ensure seamless integration and high performance.

Quantitative Software Engineers at Gauntlet will design and implement risk management and optimization strategies for DeFi protocols using simulations and quantitative models. Responsibilities include developing tools for parameter recommendations, building data pipelines, and collaborating with teams to enhance protocol performance in line with industry trends.

As a Senior Software Engineer, you will collaborate with experts in perception and robotics to build scalable solutions for autonomous vehicle systems. You'll architect and implement cloud-based training pipelines and data management services, ensuring production quality in a fast-paced environment, while focusing on safety and reliability in L3 driving systems.

The Backend Software Engineer at Parse.ly will write Python code for data analysis at scale, handle distributed systems, and maintain backend streaming data systems. The role also involves brainstorming product ideas, strong communication, and engaging in on-call rotations.

As a Backend Software Engineer at Parse.ly, you will be responsible for writing high-quality Python code, analyzing large datasets, and ensuring the reliability and performance of backend services. You will collaborate on new product ideas, master cloud technologies, and participate in on-call rotations.

The Junior Data Engineer will enhance and maintain data infrastructure, ingest data from various sources into a centralized store, and collaborate with stakeholders to ensure high data quality and implementation of governance policies. Responsibilities include optimizing data pipelines, participating in architecture discussions, and ensuring compliance with data standards.