Design, develop, and maintain scalable backend services in Go for data ingestion, storage, and querying.
Own and evolve critical platform components including APIs, messaging systems, and query-serving architectures.
Drive architectural decisions for system reliability, scalability, observability, and operational excellence.
Our partner is a company building foundational systems for large-scale data platforms and analytics capabilities, focusing on distributed backend services. They offer a remote-first, high-ownership environment with cross-functional collaboration and AI-driven productivity tools.
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, build, and maintain Python services for sports data ingestion, transformation, and distribution.
Integrate with third-party sports data providers and handle differences between provider models, formats, and update patterns.
Build reliable pipelines for near real-time and batch data processing.
Fliff builds social sports gaming experiences that allow users to compete for leaderboard positioning, achieve badges, and build status. The company is a multinational team with offices in the US and Bulgaria, known for being a close-knit, focused, and welcoming group.
Design and own backend systems for high-throughput, asynchronous workloads including generation queues and media processing
Architect for scale and reliability, making decisions on data flow, service boundaries, and failure handling
Build and optimize async pipelines with job queuing, retries, backpressure, and dead-letter handling
ImagineArt is a bootstrapped GenAI platform for image and video generation, serving Fortune 500 clients with $35M+ ARR. They are a small, fast-moving team with a low-process, bootstrapped culture.
Design, build, and evolve backend services in Go for the Data Insights Platform and Siphon, focusing on scalable ingestion, transport, replication, storage, and querying.
Drive production readiness and deployment of data platform components across GitLab environments, ensuring rollout safety and operational maturity.
Collaborate with Infrastructure, Data, and peer Engineering teams on technical design, code review, and delivery to keep the platform reliable, secure, and usable.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations improve developer productivity and accelerate digital transformation. Trusted by over 50 million users and more than 50% of the Fortune 100, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Build and optimize backend services and data pipelines for a next-gen advertising platform.
Take ownership of code from design to production, ensuring reliability and maintainability.
Collaborate with engineers, PMs, and stakeholders to turn requirements into reliable features.
Spreetail propels brands to increase their ecommerce market share globally while improving operational costs. It is one of the fastest-growing ecommerce companies with a culture of ownership and collaboration.
Own core backend platform features end-to-end, from concept and architecture through deployment and iteration.
Build and maintain low-latency, highly available backend services that power real-time threat detection.
Collaborate cross-functionally in a fully remote, distributed team environment.
This AI-first startup builds the next generation of physical threat intelligence and critical event management, combining real-time AI-powered 911 radio monitoring with OSINT from social networks. The company has strong early traction, meaningful ARR, and is backed by top-tier seed investors, operating as a lean, high-output team.
Contribute to the architecture and improvement of our data acquisition and processing platform, increasing reliability, throughput, and observability.
Use and develop web crawling technologies to capture and catalog data on the internet.
Build, operate, and evolve large-scale distributed systems that collect, process, and deliver data from across the web.
People Data Labs provides people and company data, integrating thousands of compliantly sourced datasets into a single source of truth. They are a remote-first company focused on building innovative data solutions, with a collaborative team that values ownership and learning from failure.
Work on features to increase speed and functionality of trading infrastructure, including new algorithms and exchange integrations.
Play an active role in executing system architecture and roadmap, collaborating with Product Management.
Grow to become an expert in entire trading systems and use deductive reasoning to solve complex problems.
sFOX is a full-service prime dealer that unites liquidity from over 30 exchanges and OTC desks. Founded in 2014, the company is backed by prominent investors and has a rapidly growing team.
Design and maintain Python services for sports data ingestion and distribution.
Integrate with third-party sports data providers and handle model differences.
Build reliable pipelines for real-time and batch data processing.
Fliff builds sports gaming and entertainment products for a fast-moving audience. They maintain a data platform that powers real-time experiences, with a team that values accuracy and reliability.
Design and build the backend services that power Operator, a system that helps engineering teams search company knowledge and surface design decisions.
Develop scalable retrieval pipelines, integrate structured and unstructured engineering data, and improve search quality and knowledge retrieval performance.
Collaborate with AI, Product, Design, and Engineering teams to deliver customer-facing capabilities and mentor teammates through code reviews and technical leadership.
CoLab is an AI platform that helps mechanical engineering teams bring life-changing products to market faster by driving stronger engineering decisions. It is a rapidly scaling company recognized on Deloitte's Fast 50 and Fast 500, and named a Canadian company to watch by The Globe and Mail and Financial Post.
You will own meaningful projects end to end, from concept to rollout, including design, delivery, operations, and customer follow-up.
You will design, build, and operate core components of a distributed database, making trade-offs on performance, cost, and complexity.
You will drive operational excellence, partner across Grafana, contribute to open source, and participate in on-call rotation.
Grafana Labs is the company behind the open observability cloud, providing a fully managed platform that helps organizations see, understand, and act on their data using AI. With over 35 million users and 7,000+ customers, we are a 100% remote company with 1,600+ team members across 40+ countries, backed by leading investors and known for our open-source legacy and global collaborative culture.
Build and scale mission-critical order and execution management infrastructure in Rust.
Design systems balancing low-latency execution, fault tolerance, and correctness across distributed trading workflows.
Translate evolving regulatory and market structure requirements into reliable, testable platform capabilities.
Clear Street is a diversified financial services firm modernizing the brokerage ecosystem with a cloud-native clearing and custody system. Founded in 2018, the company is a small, growing team with a meritocratic culture that champions collaboration.
Design and build backend services for AI-powered product features, including inference pipelines and orchestration layers around LLMs.
Develop high-throughput, low-latency distributed systems with monitoring, logging, and alerting across production services.
Collaborate with product, infrastructure, and AI engineers to optimize performance, caching, batching, and streaming.
This team is building an AI-native productivity platform that replaces repetitive digital work with reliable AI workflows. They are a small, focused product team working on cutting-edge AI infrastructure.
Design, develop, and maintain scalable backend services and APIs.
Optimize backend services for scalability, performance, and availability.
Work closely with Product Managers, Designers, QA, and other engineers to deliver high-quality features.
HighLevel is an AI-powered business operating system that provides infrastructure for agencies, entrepreneurs, and SMBs to build, automate, and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization built for speed and ownership.
Design and build core financial systems including trading, ledger, and billing.
Develop systems for transaction processing, reconciliation, and portfolio state management.
Build and scale real-time and batch data pipelines.
Arta leverages AI and digital tools to make financial products accessible to a broader global audience. The company values trust, teamwork, and adaptability.
Design and build core backend systems that power Lime's fleet of connected vehicles.
Collaborate cross-functionally with engineers, data scientists, and product managers.
Contribute to shaping engineering culture and participate in an on-call rotation.
Lime is a global leader in micromobility on a mission to make transportation shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, it has powered over one billion rides across 30 countries.
Build and maintain a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption.
Improve the emission, transit, and quality of instrumentation data, with success measured by data quality, integrity, and usage billing accuracy.
Support usage billing and instrumentation systems during working hours, with success measured by timely incident handling and reliable service restoration.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and trusted by more than 50% of the Fortune 100, GitLab fosters a high-performance culture driven by values, continuous knowledge exchange, and AI integration.
Design and implement scalable, low-latency real-time data streaming architectures and end-to-end data pipelines for high-volume systems.
Develop clean, maintainable, and efficient code using technologies such as Go, Python, TypeScript/Node.js, Scala, and SQL.
Build and optimize complex data processing workflows handling structured and unstructured data sources.
Our partner is looking for a Sr. Data Engineer - Data Analytics based in India. The company operates in a global, remote-first environment with a multicultural team spanning 45+ nationalities, focusing on work-life balance and employee well-being.
Design and develop server-side systems for the GEO tech team, owning core backend module implementation.
Build and maintain automation tools and data pipelines supporting large-scale data processing.
Collaborate with cross-functional teams to align requirements and define technical solution boundaries.
We are a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in more than 100 countries, we are committed to advancing the freedom of money and improving financial access.