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 build crawling, indexing, and retrieval systems for Firecrawl Search at scale.
Push down latency and cost per query while improving ranking quality for LLMs.
Own services end-to-end from design to production with a focus on speed and iteration.
Firecrawl provides the easiest way to convert web content into clean, LLM-ready data for AI agents. With 147k+ GitHub stars and rapid growth to 8-figure ARR, we are a small, fast-moving team building infrastructure that other AI companies rely on.
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.
Build a durable, multi-source ingestion pipeline that connects to external sources, transforms and deduplicates events, and routes them to specialized stores.
Develop a web application for visualizing and querying data, including interactive views.
Design a data access layer spanning relational, graph, and analytical stores, respecting each engine's strengths.
Founded in 2019, Reveal is a startup delivering software tools and intelligence for operators in remote, extreme environments. They provide a tactical intelligence platform for defense and security missions, and are scaling their team to meet the demands of modern warfare.
Help build large scale, real-time services and applications leveraging massive datasets to power internal APIs and external applications.
Build tooling, libraries, frameworks, and services that support security, research and data platform initiatives.
Participate in planning and technical discussions with engineering and product teams to build the right solutions.
Censys provides real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide. They are a distributed team with roots in Ann Arbor, Michigan, and are committed to creating an inclusive environment.
Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
Scale data processing and insights generation pipelines to handle growing volumes of activity data while managing infrastructure costs.
Backstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. Headquartered in San Francisco, CA, Backstory is backed by Y Combinator and top investors, and is listed in the top 20 percent of Inc 5000 companies.
Own backend features end-to-end from discovery to rollout.
Design and evolve distributed systems with performance and scalability.
Build and maintain APIs and data pipelines for analytics and machine learning.
Traackr is a global SaaS company providing a data-driven influencer marketing platform. The company is remote-first with offices in multiple countries and a culture based on trust, diversity, value, ownership, and mutual success.
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 and build scalable backend systems, APIs, and data pipelines
Own services end-to-end from architecture, development, deployment, to operation
Mentor junior engineers and contribute to a strong engineering culture
We transform vulnerability intelligence by helping security teams act faster with more confidence. We have a transparent, collaborative culture with a small, smart, and supportive team built on over two decades of cybersecurity experience.
Design, build, and maintain backend systems and APIs that power Wikidata’s query infrastructure.
Improve reliability, observability, and automation of the Wikidata Query Service and data pipelines.
Collaborate with SRE, data engineers, and product teams to ensure stability and scalability under growing usage.
The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and other free knowledge projects. It is a remote-first organization with staff in over 40 countries, dedicated to open knowledge and a mission-driven culture.
Design, build, and operate a high-performance, globally distributed storage platform for all critical Airbnb data.
Collaborate with top-tier engineers to evolve modern distributed infrastructure and data access layers.
Empower engineers across Airbnb by building tools and automation for data schema management and system reliability.
Airbnb was born in 2007 and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals globally. The company is committed to inclusion and belonging, and aims to attract creatively-led people from the broadest talent pool possible.
Build and maintain the infrastructure that powers reliable data collection at scale
Improve success rates against sites with aggressive defenses
Own the health, rotation, and cost efficiency of the proxy layer
Firecrawl provides an API to convert web pages into LLM-ready markdown or structured data. They are a small, high-growth team with a culture of deep ownership and urgency.
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.
Design and develop distributed systems for a data platform handling petabytes of data.
Take ownership of components like data ingestion and decoding.
Write code in Kotlin and Go with a focus on good design and performance.
Dune is a collaborative multi-chain analytics platform that makes crypto data accessible. They are a team of ~60 employees working across Europe and eastern US timezones, backed by top investors.
Design, build, and operate backend services for the workflow orchestration engine and automated decisioning pipeline.
Deliver key orchestration features such as multi-method flow execution, branching logic, and webhook integrations.
Improve production-critical system resilience through backpressure handling, idempotency, and end-to-end monitoring.
Veriff is an AI-powered identity verification platform that uses advanced image recognition, facial verification, and behavior analysis to verify users online. The company has a diverse global team backed by investors including Accel and Y Combinator, with employees across the US, UK, Spain, and Estonia.
Design and build scalable backend systems, APIs, and data pipelines for the vulnerability intelligence platform.
Own services end-to-end including architecture, development, deployment, and operation.
Lead technical design discussions and contribute to system architecture decisions while mentoring junior engineers.
VulnCheck transforms vulnerability intelligence by helping security teams act faster with more confidence. Founded in 2021, the company has a transparent, collaborative, and supportive culture with a fast-growing team of experts.
Serve as the trusted technical advisor to LanceDB's global partner ecosystem, enabling partners to architect and deploy LanceDB solutions.
Lead partner enablement, joint architecture co-delivery, and create scalable technical content such as reference architectures and integration guides.
Act as the primary technical liaison between partners and internal Product/Engineering teams, influencing the product roadmap.
LanceDB is a high-performance, open-source data lake built for multimodal AI, powering applications from vector search to RAG. They are a world-class team of open-source builders working at the forefront of AI infrastructure.
Design and evolve distributed systems for ingesting and processing large volumes of legislative data.
Build and optimize scalable data pipelines and robust APIs for public civic technology platforms.
Lead technical decision-making on system architecture and mentor engineering team members.
Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. It operates as a tech-enabled recruitment service processing applications and sharing top candidates with employers.
Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
Boosted.ai builds AI for finance to optimize investing and boost productivity. They are a rapidly scaling company trusted by enterprises with over $5 trillion under management, backed by top investors, and have a collaborative, low-ego culture.
Design and implement core components of the real-time audience segmentation platform.
Build scalable evaluation engines and event-driven pipelines for continuous data changes.
Optimize system performance, caching strategies, and operational efficiency across distributed systems.
Sigma Software is a technology company that develops advanced platforms for audience segmentation, personalization, and customer engagement. They value innovation, collaboration, and technical excellence, working on challenging tasks with cutting-edge technologies at scale.