Top Remote Python Jobs in Miami, FL
As a Senior Software Engineer at Mozilla, you will lead frontend development using technologies like JavaScript and React, contribute to backend systems with Python and Django, and focus on privacy and security features. You will collaborate cross-functionally, participate in code reviews, and monitor system performance using tools such as Grafana and Sentry.
As a Senior Software Developer at Mozilla, you will lead frontend and contribute to backend development focused on privacy and security. Responsibilities include developing features like email and phone number masking, collaborating with DevOps, optimizing system performance, and participating in code and security reviews.
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Design, automate, and deploy cloud services for customers, ensuring self-healing capabilities. Stay updated on emerging technologies, propose solutions, and cut scope without compromising goals. Work in a fast-paced environment, with strong analytical and troubleshooting skills.
The Senior Software Engineer will design, develop, and maintain scalable software solutions for Bitcoin mining operations. Responsibilities include architecting applications using React and Tailwind CSS, developing backend services with Node.js, Python, or Golang, ensuring UI/UX standards, and mentoring junior developers while collaborating with cross-functional teams to enhance user experience.
As a Senior Software Engineer at Ocrolus, you will design, implement, and maintain microservices using Python, develop cloud-based software products, and collaborate on security and automation. You will also lead projects, contribute to architecture decisions, and support the testing process.
As a Customer Solutions Architect, you will design and deliver Vonage Video CPaaS solutions, relationship-build with technical and C-level stakeholders, respond to technical inquiries, and ensure timely delivery of solutions. You will leverage your skills in CPaaS and video APIs to provide tailored solutions for customers.
The Senior Software Engineer at Wikimedia Enterprise will develop and execute the engineering strategy, collaborate with product teams, maintain data feed reliability, improve infrastructure, handle deployments, and monitor performance. The role demands a focus on innovation and sustainable practices to enhance Wikimedia's data services for various organizations.
As a Staff Product Platform Engineer at Lumos, you'll take ownership of core architecture and data models, collaborate on frameworks, design scalable systems, and lead backend engineering efforts. You'll also mentor teams and refine recruiting processes while solving challenging engineering problems.
The Full Stack Engineer will drive product offerings, improve customer support tools, and translate business requirements into systems. They will design and update systems, ensuring data integrity and the reliability of frontend components while collaborating with stakeholders and UX designers.
As a Staff Software Engineer in Perception, you will collaborate with experts to develop scalable solutions in sensing, machine learning, mapping, and localization for automated driving technology, while ensuring production-quality software and a strong safety culture.
The Senior Staff Software Engineer will collaborate with experts in perception and robotics to design and implement scalable solutions for automated driving technology. Responsibilities include software development across diverse domains like machine learning, data management, and sensor integration while upholding high safety standards.
As a Software Engineer II, you'll develop scalable solutions for anomaly detection, ensuring smooth software integration and championing safety standards throughout the development lifecycle. Responsibilities include collaborating with perception experts, optimizing software performance, and staying current with industry trends.
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As a Solutions Architect, you will lead the adoption of the Databricks Unified Analytics Platform, solving complex data challenges for customers. You will build architectures and solutions, guide implementations, and provide escalated support while being involved in customer engagement and community evangelism for Databricks offerings.
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