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Top Remote Golang Jobs in Washington DC,
The Software Engineer at Cloudflare will build and develop tools for automating infrastructure installations and decommissions at scale. The role focuses on enhancing operational excellence through automation, while collaborating with engineering teams to improve speed and efficiency.
As a Software Engineer at Cloudflare, you will focus on automating infrastructure installations, improving deployment speed, and operational support for data center teams. You'll use Python and Golang for development, ensuring systems are failure-resistant and scalable while tracking assets accurately.
The Software Engineer at Cloudflare will focus on building and developing automation solutions for the infrastructure, supporting Data Center teams, and improving operational efficiency. The role requires skills in software development, strong knowledge of automation, and experience with network services. Collaboration with various teams is crucial to enable rapid deployments and maintain service reliability.
As an Engineering Manager in the Exposure Management Group, you will lead a team of software engineers, drive technical strategy, and ensure effective collaboration across various teams. You will be involved in hiring and retaining talent while promoting an engineering-first culture focused on delivery and quality. Your role will also require excellent communication skills to connect with different stakeholders in a remote work environment.
The Senior Site Reliability Engineer will implement and manage service level objectives, lead postmortems, enhance system reliability, automate operations, and analyze key metrics to drive improvements. They will collaborate with product teams and lead initiatives on capacity and reliability while utilizing technology like OpenTelemetry and AWS.
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In this role, you will develop and optimize machine learning and computer vision models using large datasets from Samsara's sensors and cameras. Collaborating with cross-functional teams, you will deploy models for improved performance and cost efficiency, while staying updated on industry research to enhance technology usage.
The Senior Software Engineer will design and implement a BLE platform for mobile applications, collaborating with teams to enhance application architecture, improve developer experience, and mentor junior developers. They will drive the end-to-end success of new features aimed at improving customer experiences.
As an Application Architect, you'll lead architectural design and provide technical guidance to software engineers during the transition to a microservices architecture. You'll collaborate within a team, ensure effective software production and maintainability, champion architecture concerns, and participate in design meetings and code reviews.
The Senior Staff Software Engineer for Ads Infrastructure & Systems will lead system innovations, mentor junior engineers, design scalable architectures, and establish tech strategies for the Ads Engineering team, addressing complex technical challenges while collaborating across engineering teams.
The Principal Software Engineer will design and implement scalable AI solutions, collaborating with clients and internal teams to address complex challenges. Responsibilities include developing data-driven workflows, facilitating stakeholder communication, optimizing software solutions, and leading technical initiatives.
The Senior Software Engineer will collaborate with cross-functional teams to develop and enhance backend systems, focusing on cutting-edge projects in live streaming. Responsibilities include building scalable and maintainable systems, solving complex problems, and influencing team collaboration.
The Staff Software Engineer will work on the Developer Experience Team to enhance the productivity of Product Engineers by building tools and services, improving deployment strategies, and ensuring service reliability and performance. Responsibilities include collaborating on best practices, tool development, and maintaining a secure infrastructure.
As a Lead Machine Learning Engineer, you will build deep learning models for accurate bidding in high-frequency auctions, collaborate with skilled engineers, and design scalable systems to drive business objectives using various data sources and technologies.
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