Responsibilities
- Design, build, and maintain scalable backend services for DataHub Cloud and enterprise platform capabilities.
- Develop reliable APIs, workflows, and distributed services supporting metadata operations, system health, deployment management, and customer-facing platform experiences.
- Solve technical challenges involving scalability, performance, availability, and distributed systems in partnership with senior engineers.
- Build features that help customers configure, manage, and operate DataHub across cloud and enterprise environments.
- Develop capabilities for system health, usage, performance, monitoring, observability, and operational insights.
- Collaborate with product, design, customer success, and engineering teams to deliver reliable product experiences.
- Write clean, maintainable, well-tested code, participate in code reviews, and contribute to technical design discussions.
- Build self-service workflows, platform services, and resilient capabilities for backup, recovery, scaling, and high-volume data workloads.
Requirements
- At least 3 years of professional software engineering experience building and shipping backend, platform, or distributed systems.
- Strong programming skills in Python, Java, Go, or a similar backend-focused language.
- Experience designing and building APIs, backend services, distributed workflows, or data-intensive applications.
- Familiarity with AWS, GCP, or Azure and with containers and cloud-native technologies including Docker and Kubernetes.
- Understanding of data structures, algorithms, API design, and system performance.
- Familiarity with monitoring, observability, or production-system operations.
- Knowledge of networking, security, databases, and service reliability.
- Experience with multi-tenant SaaS products, customer-facing administration or deployment tools, data infrastructure, metadata management, data catalogs, analytics platforms, or data governance is beneficial.
- Exposure to microservices, service meshes, high-scale distributed architectures, enterprise customers, or customer-facing technical organizations is beneficial.
- Interest in AI infrastructure, data governance, or the modern data stack is beneficial.
Benefits
- Remote work is the default unless otherwise specified.
- Monthly coworking stipend and flexible home-office or coworking setup.
- Equity for every team member.
- Medical, dental, and vision coverage, including coverage for dependents.
- Flexible spending accounts, including Dependent Care FSA options.
- Inclusive fertility and family-forming support through Carrot Fertility for U.S. employees.
- Unlimited PTO and sick leave.
- Opportunities to work on enterprise AI infrastructure and production systems at global scale.
About DataHub
DataHub transforms enterprise data into trusted context, enabling intelligent decision making by humans and AI agents. As the leading context management platform built on a thriving open-source community of 15,000+ members and adopted by thousands of organizations worldwide, DataHub Cloud delivers AI-powered discovery, governance, and observability in a unified platform, ensuring that context is always relevant, reliable, and continuously refreshed across the entire data estate. DataHub is backed by Bessemer Venture Partners, LinkedIn, and 8VC. Our key differentiators: * Scalability: DataHub offers best-in-class enterprise-grade scalability in connecting to over 100 data sources, offering an embeddable connector framework, and ingesting large volumes and high velocity of metadata. * Extensibility: DataHub’s highly extensible metadata model offers easy flexibility in adapting to an organization’s unique data landscape, entities, relationships, ownership, and custom metadata descriptors. * Completeness: DataHub Cloud’s unified platform uses AI-based enhancements and automations for discovery & understanding, quality management, and collaborative governance, allowing users and AI Agents to confidently use and manage data and AI assets. * Open-Source Advantage: Customers of DataHub benefit from the joint innovation, peer support, and growing skill base of an energized community of over 15,000 DataHub practitioners. The managed service, DataHub Cloud, offers dedicated support, improved performance and availability, and secure deployment options to ease adoption across an enterprise. For engineering teams deploying AI in production, DataHub delivers unified context infrastructure across all AI & data assets with enterprise-grade performance.