Remote Software engineering Jobs • Go

We are looking for a Back-End Staff Software Engineer to join us on our mission to help people learn! The Staff Engineer will assume a dual role as a technical leader and a visionary for our highly complex and high-performing systems. They will provide technical guidance and mentorship to the team, shaping and driving the overarching vision of our system. You will actively participate in the conversation on what and how to build the systems and solutions that matter to our customers.

The Brand Ad Formats team is seeking a skilled Backend engineer with a product-focused mindset to join the team. As a staff backend engineer on the team, candidates will work on online systems used for ad rendering, microservices and APIs that power the advertiser-facing product, and backends that power interactive ad experiences. Staff-level engineers are expected to help define best practices and be effective code contributors.

We're seeking two skilled full-stack engineers to tackle complex technical challenges powering the future of IoT connectivity. You'll work with our collaborative team where your technical decisions directly impact how millions of connected devices communicate worldwide. You'll design and optimize systems, build robust backend services, develop customer dashboard features, and implement full-stack solutions.

As a Senior Software Developer, you'll join a team building a cutting-edge platform that enables SAS's internal stakeholders to use Generative AI securely and efficiently. You will support internal teams, design and develop high-quality software solutions, and ensure quality through testing. You'll also translate product management requirements into actionable items, contributing to a platform used by diverse technologies and industries.

This is a highly strategic role for a Principal Software Engineer on the Banking and Money Movement Team, who can independently identify and deliver software solutions, owning projects in service of quarterly goals and identifying solutions to ambiguous problems. The role combines deep technical expertise with leadership across the engineering organization.

The Financial Services Division (FSD) Engineering team is seeking an Engineering leader to excel in a non-traditional environment, utilizing the latest in Cloud and Big Data analytics. As the Senior Manager of Software Engineering, you will lead the development and operations of our real-time API platform, a critical component powering mission-critical integrations across our ecosystem. You will manage a high-performing team responsible for designing and scaling APIs.

Serve as a key member of Shield AI's Special Projects team, an elite force within the office of the CTO, driving technology development and strategic alignment across the organization. Design and prototype generative AI experiences focused on accelerating autonomy development, lead user experience design, and enhance the user experience of Hivemind products through user research and competitive analysis.

As a Forward Deployed Engineer, you will partner directly with key technical & strategic counterparts at Addepar's largest enterprise engagements, building custom data integrations and extending platform capabilities. You will operate with autonomy and ownership to drive ground-breaking change for Addepar's customers, working in small teams with minimal supervision to set priorities and lead client interactions.

The team is responsible to build, maintain, test and release C8 distributions for our customers, running C8 self-managed (vs. our saas product). The currently supported artifacts are: Helm Charts (Kubernetes), C8run, Docker Compose, documentation. The team is working closely with our Product Management, Quality Assurance, Documentation and all other engineering teams.

Design, develop, and implement scalable RPA solutions using UiPath, including Agentic AI and Document Understanding features. Participate in all phases of the development lifecycle, including requirements, design, testing, deployment, and support. Troubleshoot and optimize automation workflows for performance and reliability. Collaborate cross-functionally with architects, analysts, and engineering peers.