Software Engineer - Backend Platform

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.