Remote Software engineering Jobs • GCP

This Back-End Engineer is a key position to leverage an AI-powered personalization platform designed to revolutionize how audiences interact with news. This initiative will harness machine learning and generative AI to deliver dynamic, user-centric experiences—including intelligent story summarization and tailored content delivery.

The SaaS Engineering team is responsible for providing a robust platform for our customers. As a Senior Backend Engineer, you will contribute to the development of tools and interfaces to automate the creation, deployment, monitoring, and maintenance of production infrastructure. We operate on a large scale using cutting-edge cloud computing technologies and support mission-critical projects that can make or break customers’ success.

As a lead machine learning engineer, you will lead the design of technical solutions and oversee program inception to build new systems and/or applications. You will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes. You will embrace a strategic mindset, contributing to the direction of machine learning initiatives and aligning technical solutions with broader organizational goals.

At Grafana, you will build observability tools that help users understand, respond to, and improve their systems. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features, reducing toil, lowering the barrier of domain expertise, and surfacing meaningful signals from noisy environments.

Contribute to the design, development, and maintenance of high-traffic websites and supporting services. Work closely with frontend developers, site reliability engineers, designers, and data and marketing partners to create scalable, maintainable systems that help connect with users worldwide. This role is ideal for an engineer who enjoys solving real-world web challenges – balancing performance, automation and reliability.

As an Engineering Manager for one of our application teams, you’ll lead a team of talented developers and contribute hands-on to our provider data management platform and suite of products that directly impact the success of our customers. If you are an experienced people manager looking to own a critical piece of the business then this role is for you.

Speechify is looking for a Senior Software Engineer to join the Core Experiences Team to build and maintain the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure designing clear, reliable APIs and simple systems that directly enhance the user experience.

As a Software Engineer II, you’ll take on complex development challenges, contribute to architecture and design discussions, and help scale secure systems that power our core products. You’ll work closely with cross-functional partners in Engineering, Product, and Security to deliver customer-facing features that enable detection, visibility and automation at scale.

This role will focus on driving the design and implementation of general software that empowers our operations teams to better serve our healthcare providers, thus giving them more time to focus on patients and deliver better services. We are looking for someone with a minimum of two years of software engineering experience. The candidate will build end-to-end products to scale and empower our operations teams and work across the entire software stack.

We’re looking for a Staff Python Software Engineer who thrives on solving tough problems — not just building new features but understanding why systems behave the way they do and how to make them better. You’ll dig into legacy code, untangle complexity, and modernize critical systems while keeping business continuity intact. If you’ve ever looked at an old codebase and thought, “Challenge accepted,” you’ll feel right at home here.