Lead the architecture and development of the Hercules Database, backend services, and SDKs.
Engineer for low latency, high throughput, and efficient resource use across data-intensive, multi-tenant systems.
Build and operate reliable hosting infrastructure with strong tenant isolation, observability, and failure resilience.
Hercules builds the future of AI software development with a platform-as-a-service including a database, backend services, and SDKs. It is an early-stage company with a founding team based in San Francisco and a culture that values shipping fast, excellence, and hunger.
Design and scale web scraping infrastructure for collecting millions of social media records daily.
Build fault-tolerant pipelines using Python/Go, browser automation, and anti-bot bypass techniques.
Manage distributed queues, storage lakes, and monitoring for reliable data delivery at scale.
The hiring partner company builds high-performance web scraping and data ingestion infrastructure for social media and AI workflows. It values reliability, performance, and continuous improvement, though its size and culture are not detailed.
Design and operate backend systems collecting data on 400M+ creator profiles across major social platforms.
Build resilient infrastructure handling high-volume data, third-party APIs, and proxy networks at scale.
Own systems end-to-end, from architecture and deployment to monitoring and continuous improvement.
They build a large-scale creator data platform tracking 400M+ profiles across major social media. The culture is remote-first, async-oriented, and collaborative with substantial autonomy for senior engineers.
Design and build backend services in Rust for high-volume financial transactions with strong guarantees.
Own features end-to-end, from spec to production, and set technical direction for your area.
Integrate with external partners and improve engineering quality across observability and security.
MoonPay builds the operating system for value movement, enabling enterprises to fund, tokenize, trade, and spend digital assets. With top rankings in Fortune's Crypto 100 and Forbes' Best Startup Employers, they foster a high-velocity, high-accountability culture.
Design and build backend systems that are clean, testable, and efficient.
Architect scalable APIs and infrastructure for high-trust environments.
Own core systems end to end, and shape engineering practices and technical culture.
At Duna, we see the company as the second product we’re building and are continually working to create a transparent, ambitious culture. We are a remote-first, fast-moving team of builders backed by world-class investors, looking for exceptional people who love to create, build, and ship.
Build and maintain data scrapers and ingestion pipelines for government data sources across the US.
Research new data sources using internal tooling, AI agents, and technical investigation.
Validate incoming data for accuracy, completeness, and reliability before it reaches production systems.
A partner company building a high-impact public-sector technology platform that relies on reliable government data. It operates as a fast-moving startup with a mission-driven culture focused on data quality and technical innovation.
Design, implement, test, and operate production services and APIs.
Lead projects or meaningful components of projects from problem definition through deployment and iteration.
Improve the observability and operability of the systems you own, including metrics, logs, traces, alerting, and incident learnings.
LaunchDarkly provides a platform that helps engineering teams release software and AI with speed, safety, and control using feature flags and observability. The company is growing and emphasizes teamwork, humility, openness, curiosity, and inclusive collaboration.
Design and build production-grade Python scrapers and scalable ingestion pipelines for web-data acquisition.
Own the full engineering lifecycle from investigation to deployment and production support.
Work independently while collaborating with a distributed team through code reviews and structured workflows.
The company specializes in data engineering and web-data acquisition for research and data products. It embraces a remote-first culture with a distributed, collaborative engineering team.
Design and ship moderate to complex backend features for a global platform with minimal guidance.
Define backend standards for style, maintainability, testing, APIs, and operational readiness.
Mentor engineers, diagnose performance issues, and integrate agentic AI into production workflows.
GitLab is an intelligent orchestration platform for DevSecOps, helping organizations ship better, more secure software faster. With over 50 million registered users and trust from half the Fortune 100, GitLab has a remote-first, high-performance culture driven by shared values and AI adoption.
Design, build, and operate GitLab Orbit backend services, primarily in Rust, within a distributed, cloud-native environment.
Improve deployment, monitoring, and operations using Kubernetes, Helm, Terraform, and cloud services from AWS or GCP.
Automate operational work, strengthen observability, and manage production issues to reduce single points of failure.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity, improve operational efficiency, and accelerate digital transformation. Trusted by more than 50 million registered users and over 50% of the Fortune 100, GitLab fosters a high-performance culture driven by shared values and continuous knowledge exchange.
Design, build, and operate backend services for Aave App across onboarding, funding, savings, withdrawals, portfolio data, and customer communications.
Build transaction-orchestration and indexing services that safely prepare, submit, monitor, and reconcile onchain activity across its full lifecycle.
Lead technical reviews for high-value systems and improve testing, observability, alerting, incident response, and deployment practices.
Aave Labs builds trusted products that expand access to lending, credit, and savings globally. We are a global team holding a high bar for quality and craftsmanship, turning complex technology into simple and reliable experiences.
Build and maintain data scrapers and ingestion pipelines for government data sources across the US
Validate data for accuracy, completeness, consistency, and reliability before it reaches the platform
Document source behavior, extraction logic, and data-quality checks to ensure maintainable systems
GovSignals is the AI system of work for government contracting, helping close the gap between government acquisition speed and adversary capability deployment. It's a high-velocity startup managing government contract data with AI in both FedRAMP High and DoW Impact Level 5 environments, monitoring over 5,000 live data sources and serving customers from small contractors to Fortune 500 primes.