Top Remote Python Jobs in Boston, MA
Develop embedded software for Square's hardware products, specifically focusing on NFC and contactless payment subsystems. Collaborate with various teams to ensure product functionality and reliability. Build tools for firmware development and debugging. Lead multi-person projects from design to deployment. Requires BS in CS, CE, EE or equivalent practical experience.
Develop embedded software for Square's hardware products, focusing on NFC and contactless payment subsystems. Build firmware platform, write code for tiny embedded systems, collaborate on system-side code, and develop tests for product features. Lead large projects and collaborate with various teams.
As a Sr. Engineer for Virtual Applications Delivery at Warner Bros. Discovery, you will be responsible for architecting, designing, installing, configuring, and maintaining the company's virtual desktop platforms using VMware Horizon. This role involves supporting a range of business stakeholders and workloads globally and ensuring high-level expertise in VDI technologies and end-user support.
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The DevOps Engineer is responsible for automating manual tasks, building CI/CD pipelines, supporting production environments, and using cloud APIs to improve system monitoring. They also drive troubleshooting and have proficiency in scripting languages and cloud services.
Join ServiceNow as a Senior MLOps Engineer responsible for building the MLOps Platform, developing ML Development tooling, and driving platform adoption. Collaborate with internal teams to implement scalable architectures and cloud-based solutions, automate testing and deployment of ML models, and provide operational support. Must have 5+ years of experience in programming languages and cloud solutions.
Join Cloudflare's Addressing team to work on designing and developing new APIs and data models using technologies such as Go, PostgreSQL, Docker, Kafka, and more. Collaborate with a small but growing team on impactful projects critical for Cloudflare's operation and learn about edge routers, servers, DNS, and IP provisioning pipelines.
Design, implement, and operate services to strengthen the enterprise readiness of our cloud. Lead technical roadmap and align with goals. Collaborate with cross-functional teams and resolve challenges. Maintain operational and engineering health of systems.
Looking for a Senior Lead Engineer in Generative AI Infrastructure at Capital One to work on building large-scale distributed training clusters, deploying ML models, and supporting AI research and development in public cloud infrastructure.
Backend Software Engineer at Jellyfish responsible for developing data ingestion, implementing observability tools, building internal tools, handling customer escalations, and contributing key features to an agile team. Requires strong Python programming skills and eligibility to work in the U.S.
As Lead Software Engineer (ML Platform), you will play an instrumental role in advancing our core machine learning platform and infrastructure. You will work with AI research teams to turn cutting-edge machine learning models into commercial products.
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