Top Remote Senior Level Python Jobs in Portland, OR

Join the Site Reliability Team focusing on reliability and security for a leading sports betting platform. Responsibilities include improving infrastructure, handling deployments and monitoring, and ensuring system availability. The role involves collaboration with DevOps/SRE teams, mentoring, and liaising with security agencies.

The Senior Solutions Engineer will collaborate with strategic account teams to design and optimize technical solutions for clients, primarily in machine learning for fraud and logistics problems. Responsibilities include pre-sales technical support, developing custom scripts, analyzing datasets, leading demonstrations, and ensuring seamless integration of solutions with client needs.

As a Senior Software Engineer in Infrastructure at Persona, you will be responsible for building and managing scalable and resilient infrastructure systems. You will collaborate with product teams to deliver features rapidly, implement best engineering practices, and shape system design and methodologies.

As a Senior Software Engineer, you will design and develop new features and components for the Prismatic platform, collaborate with teammates to enhance existing tools, lead code reviews, mentor junior developers, and advocate for new technologies to improve the reliability and scalability of our embedded integration platform.

As a Senior DevOps Engineer, you will design and maintain CI/CD processes, automate software deployment, manage production systems, and collaborate with various teams to ensure seamless product availability in a global SaaS infrastructure.

As a Senior Software Engineer at Bitwise, you'll build products from scratch, manage your own work, and help shape the engineering organization. You'll contribute to key initiatives, make technical decisions, and gain insights into the rapidly evolving crypto space, while working on diverse projects as part of a small team.

As an ML Engineer specializing in Inference at Symbl.ai, you will develop and optimize the Nebula language model, implementing algorithms for real-time inference, collaborating with teams, and optimizing models for various platforms, while staying updated on advancements in machine learning.