Top Remote Python Jobs in Baltimore, MD

Headway is seeking experienced engineers to join their team and build a new mental healthcare system. The engineering team at Headway focuses on the mission, ships small and learns fast, treats everything as a product, and optimizes for trust. They use Python 3, TypeScript, FastAPI, SQLAlchemy, React, Postgres, Redis, AWS (Fargate, ECS, S3, Spark, Kafka), Datadog, PagerDuty, and GitHub. The projects they are working on include privacy, core insurance and billing engine, network expansion, therapist practice management system, and patient search and matching.

Design, develop, and deploy robust and scalable full-stack web applications using Node.js, React, MongoDB, and AWS.

The Engineering Manager at Kustomer will oversee a software engineering team, manage team performance, provide technical mentorship, and contribute to the design and development of software solutions. They will play a key role in shaping technical vision and driving engineering excellence.

The Senior Software Engineer will be responsible for building new systems, enhancing and refactoring existing systems, integrating with external systems, and performance projects.

Hungryroot is seeking a Staff Backend Software Engineer to drive critical technical issues, make architecture decisions, assist other engineers, and impact future technical decisions. Responsibilities include owning engineering infrastructure, driving technical discussions, contributing to feature development, and raising code quality. Requirements include 8+ yrs of software development experience, expertise in Python and Django, and extensive experience with RESTful APIs and SQL.

Backend Software Engineer role in the Applied Technologies Group focused on building and supporting critical systems in financial crimes prevention. Responsibilities include building high-throughput ML-driven systems on cloud infrastructure, using technologies like Python, Docker, AWS, and Terraform.

The Staff Machine Learning Platform Engineer role at Ontra involves collaborating across teams to develop and deploy machine learning applications, building ML infrastructure, utilizing Kubernetes and AWS for model serving, and improving processes for standardized workflows. The ideal candidate will have 7+ years of ML Ops Engineer experience, proficiency in Python and ML toolsets, LLM knowledge, infrastructure building experience, and a team player mentality.

The Systems Engineer - Compute Hardware at Cloudflare is responsible for designing and deploying Cloudflare's next generation of servers and innovative technologies for their data center infrastructure. They work with hardware engineering and product teams to evaluate and inform decisions around new hardware, develop automation for hardware performance optimization, and communicate results through various channels.