Design and implement scalable backend services for enterprise administrators.
Build reliable distributed systems using asynchronous and event-driven architectures.
Develop high-quality software solutions in Go, focusing on public APIs and production-grade services.
This company builds secure, intuitive solutions for managing access, identities, and digital workflows. It is a fast-growing technology team with a remote-first culture and a focus on cybersecurity.
Design and develop scalable backend services using Go for enterprise-grade applications.
Architect distributed systems and microservices with high availability and fault tolerance.
Build secure APIs, optimize databases, and implement CI/CD pipelines with Kubernetes.
Jobgether operates an AI-powered matching platform that connects candidates with hiring companies. They are a fully remote company with a collaborative and supportive culture, emphasizing technical growth and innovation.
Design and scale highly available backend services and APIs supporting AI-powered developer tools.
Develop distributed systems optimizing reliability, latency, cost, and performance at global scale.
Provide technical leadership through mentorship, code reviews, and collaboration across engineering teams.
Our partner is building next-generation AI-assisted software development experiences. This remote-first role contributes to a globally impactful AI platform with a collaborative culture focused on innovation, inclusion, and technical excellence.
Design, develop, and maintain scalable, reliable, and efficient backend services.
Build new product capabilities while enhancing existing systems and improving platform performance.
Solve complex engineering challenges related to scalability, reliability, distributed systems, and backend architecture.
This company provides a modern engineering operations platform used by organizations worldwide. It is a remote-first organization with a collaborative culture focused on ownership, growth, and engineering excellence.
Architect and evolve scalable backend systems using Python and modern technologies.
Build distributed, data-intensive systems with high performance and operational excellence.
Collaborate with product, data, and machine learning teams to integrate AI/ML capabilities.
This partner company builds large-scale, data-intensive systems for next-generation digital experiences. It fosters a collaborative, remote-first culture focused on innovation, performance, and long-term impact.
Design, build, operate, and maintain large-scale distributed systems for product metrics.
Develop backend services using Golang within a cloud-native, Kubernetes-based environment.
Ensure high performance, reliability, and cost efficiency of critical data processing systems.
The company builds a large-scale distributed data platform for real-time analytics and customer-facing insights. It is a remote-first organization with a strong engineering culture focused on ownership, learning, and technical excellence.
Build and operate large-scale cloud infrastructure for product metrics and real-time analytics.
Design, develop, and improve fault-tolerant distributed systems processing trillions of events.
Collaborate cross-functionally, perform code reviews, and participate in on-call rotation.
Jobgether uses AI-powered matching to connect candidates with hiring companies. They process applications quickly and share shortlists directly with employers, operating as a job platform seeking to streamline recruitment.
Design and develop scalable backend services using Go for authentication and identity management.
Build geo-redundant, highly available services across multiple cloud regions.
Collaborate with cross-functional teams to deliver secure, user-focused features.
Jobgether uses AI-powered matching to connect candidates with hiring companies. It focuses on efficient recruitment with a remote-first, collaborative culture.
Design, develop, test, and release new database features for a distributed database platform.
Improve system performance, scalability, and reliability by optimizing query execution and infrastructure.
Collaborate with a fully remote global engineering team to drive technical decisions and innovations.
The partner company builds cutting-edge distributed database technology for secure access control systems. It is an early-stage technology company with a supportive engineering culture and a fully remote global team.
Design and optimize scalable APIs and distributed services for mission-critical fraud detection technology.
Investigate complex technical issues through root cause analysis and performance testing.
Collaborate cross-functionally to deliver robust, production-ready solutions while mentoring junior engineers.
The hiring partner company builds high-performance backend systems for real-time fraud detection technology used by organizations worldwide. The engineering team is globally distributed and values technical excellence, autonomy, and knowledge sharing.
Design, implement, and ship features for the Temporal server.
Solve distributed systems challenges across areas such as task matching, scheduling, workflow execution, and visibility.
Improve the reliability and operability of the server through testing, observability, and documentation.
Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox and are building the team to make that happen.
Partner with engineering teams to improve reliability, scalability, and operational health of production systems.
Investigate and resolve complex production incidents, designing sustainable long-term solutions.
Design, build, and maintain automation tools and infrastructure to enhance developer productivity.
The company builds and maintains highly reliable, scalable production systems supporting millions of users worldwide. It fosters a remote-first culture that values innovation, collaboration, and engineering excellence.
Lead the design and architecture of complex, high-scale backend services and integrations.
Mentor and guide engineers through thoughtful design and code reviews.
Champion reliability, observability, automation, and operational excellence.
Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. They are building one of the fastest-growing ecommerce companies in history, with a culture of high ownership and technical excellence.
Design, build, and enhance the infrastructure powering a large-scale real-time data ingestion platform.
Scale backend services to support increasing data volumes while maintaining high availability and performance.
Automate infrastructure provisioning and deployment pipelines using Infrastructure as Code.
Our partner builds a high-performance real-time data platform operating at petabyte scale. They are a remote-first organization with a collaborative engineering culture.
Manage multiple engineering teams to influence cross-technical and business decisions, aligning execution with company-wide goals.
Provide technical direction for scalable, secure, and optimized systems across internal and customer-facing platforms.
Drive process improvements, manage risks, and resolve high-priority technical issues to minimize business impact.
Olo is a leading on-demand commerce platform that powers digital ordering and delivery for restaurant brands. The company has a large engineering team and fosters a culture of innovation, collaboration, and continuous improvement.
Architect and improve real-time data streaming systems processing millions of events per second with ultra-low latency.
Lead development of core data infrastructure enabling real-time decision-making and personalization.
Solve complex distributed systems challenges including fault tolerance, scalability, and performance optimization.
The hiring company is a technology firm focused on building real-time data platforms and AI-driven systems. The company culture emphasizes innovation, autonomy, and high engineering standards, though specific employee count is not provided.
Design, build, and maintain scalable cloud-native backend services using Golang within a modern microservices architecture.
Develop and operate distributed systems deployed on Kubernetes across major cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
Lead the architecture, design, and implementation of new product features and backend services from concept through production.
A fast-paced, remote-first engineering company building scalable cloud-native platforms for enterprise applications. The team is collaborative, transparent, and mission-driven, with a focus on impactful technology.