Top Golang Jobs in Phoenix, AZ

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.

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.

As a Backend Engineer on GitLab's MLOps team, you will develop and maintain CI/CD pipelines for ML models, collaborate with data scientists to deploy ML models, ensure system scalability and reliability, and enhance product quality while following best coding practices.

As a Staff Software Engineer at Red Canary, you will lead technical projects, mentor engineers, and develop scalable software solutions. You will focus on shipping quality products and features, improve processes, and contribute to a high-quality production environment. You will also collaborate with product management and support enterprise-scale applications in a 24/7 setting.

As a Developer Experience Engineer, you'll empower Gusto's Product Engineers by building tools and services that enhance efficiency throughout the software development lifecycle. You'll collaborate with teams to improve service communication, infrastructure setups, and deploy pipelines while maintaining high performance and security standards.

Thrive Market is seeking an Engineering Manager to lead a global team of software engineers in the Product Engineering organization. The role involves guiding the team in developing impactful product features, optimizing customer experiences, and driving innovation alongside product management. Responsibilities include mentoring engineers, ensuring best development practices, and managing API services' performance and architecture.

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.