Jobs at MWDN

Build and operate high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows for compaction, snapshot expiry, manifest rewriting, and orphan-file cleanup. Develop Rust-based SQL query routing systems, maintain connectors, review open-source contributions, and ensure correctness under concurrency and failures. The role includes production ownership, on-call support, debugging, and roadmap contributions.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based SQL routing and query infrastructure, maintain connectors, review open-source contributions, and operate production systems. Ensure correctness under concurrency, retries, and failures while debugging customer environments and contributing to product direction.

Build and maintain high-performance data lakehouse infrastructure using Java and Rust. Develop reliable Apache Iceberg maintenance workflows, including compaction, snapshot expiry, manifest rewriting, and orphan-file cleanup. Ensure data integrity under concurrency, retries, and failures. Maintain a Rust-based SQL query router, develop connectors, review open-source contributions, operate production systems, participate in on-call support, and debug customer environments.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based query routing capabilities, maintain connectors, review open-source contributions, and operate production systems. Ensure data integrity under concurrency, retries, and partial failures while debugging customer environments and contributing to product direction.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based query-routing systems, maintain connectors, review open-source contributions, and ensure data integrity under concurrency, retries, and failures. Operate production systems, participate in on-call support, and debug customer environments.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan-file cleanup. Develop Rust-based query-routing systems, maintain connectors, review open-source contributions, and ensure data integrity under concurrency, retries, and failures. Operate production systems, participate in on-call support, debug customer environments, and contribute to product roadmap decisions.

Build and maintain high-performance data lakehouse infrastructure using Java and Rust. Develop safe Apache Iceberg maintenance workflows, including compaction, snapshot expiry, manifest rewriting, and orphan-file cleanup. Maintain a Rust-based SQL query router, develop connectors, review open-source contributions, and operate production systems. The role requires ensuring data integrity under concurrency, retries, and partial failures, along with on-call support and customer-environment debugging.

Build and operate high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan-file cleanup. Develop Rust-based SQL routing and query engine connectors, ensure data integrity under concurrency and failures, review open-source contributions, manage releases, and provide production support and debugging.

Build and maintain high-performance data lakehouse infrastructure using Java, Rust, Apache Iceberg, and related technologies. Develop reliable maintenance workflows for compaction, snapshot expiry, manifest rewriting, and orphan file cleanup while ensuring data integrity under concurrency and failures. Maintain a Rust-based SQL query router, contribute connectors and open-source reviews, support production deployments, troubleshoot customer environments, and participate in on-call operations.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based query routing systems, connectors, and production services while ensuring data integrity under concurrency and failures. Responsibilities include open-source collaboration, code reviews, releases, on-call support, and debugging customer environments.

Design and ship secure, scalable full-stack products combining data pipelines, backend architecture, APIs, AI/LLM features, and agentic workflows. Build reliable data systems with strong validation, observability, auditability, and security. Debug issues across ingestion, transformation, databases, APIs, user interfaces, and AI context while managing risks such as hallucinations, prompt injection, data exfiltration, model drift, and provider outages.

Build secure, scalable full-stack products combining data pipelines, APIs, AI/LLM features, and agentic workflows. Design reliable data models and integrations, implement validation and observability, debug issues across the stack, and ensure privacy, auditability, access control, and safe AI behavior. The role requires strong production engineering judgment, deep backend architecture skills, and experience handling sensitive, high-trust data.

Build secure, scalable full-stack products combining data infrastructure, APIs, AI/LLM features, and agentic workflows. Design reliable data models and pipelines with strong validation, observability, auditability, and security. Develop production AI systems with evaluations, scoped permissions, human review, and graceful failure handling. Debug issues across ingestion, databases, APIs, user interfaces, and AI context while protecting sensitive, high-trust data.

Build and ship secure, scalable full-stack products combining data infrastructure, APIs, AI/LLM features, and agentic workflows. Responsibilities include designing data models and pipelines, implementing validation and observability, debugging across the stack, and ensuring security, privacy, auditability, and reliable AI behavior. The role requires strong production engineering judgment, backend architecture expertise, and experience handling sensitive, high-trust data.

Build and ship secure, scalable full-stack products combining data infrastructure, APIs, reliable pipelines, and AI/LLM capabilities. Responsibilities include designing data models and backend architecture, implementing validation and observability, developing safe agentic workflows, debugging across the full technology stack, and ensuring privacy, security, auditability, and data integrity. The role requires production engineering judgment, strong AI safety practices, and experience handling high-trust or regulated data.

Build secure, scalable full-stack products combining data infrastructure and AI. Responsibilities include designing APIs, data models, integrations, reliable data pipelines, AI and LLM features, safe agentic workflows, observability, auditability, and security controls. Debug issues across ingestion, databases, APIs, user interfaces, and AI context while managing risks such as hallucinations, prompt injection, data exfiltration, model drift, and provider outages.

Build and ship secure, scalable full-stack products combining data infrastructure and AI. Design APIs, data models, integrations, reliable pipelines, AI/LLM features, and safe agentic workflows. Implement validation, observability, access controls, auditability, and privacy protections for sensitive, high-trust data. Debug issues across ingestion, transformation, databases, APIs, user interfaces, and AI context while managing hallucinations, model risk, latency, cost, and failure modes.

Build secure, scalable full-stack products combining reliable data infrastructure and AI. Responsibilities include designing APIs, data models, integrations, and validated data pipelines; shipping production LLM features and safe agentic workflows; implementing access controls, auditability, observability, and privacy protections; and debugging issues across ingestion, databases, APIs, user interfaces, and AI contexts.

Own daily programmatic advertising operations, including partner integrations, inventory setups, PMP and deal configurations, optimization, troubleshooting, and performance reporting. Monitor CPM, RPM, fill, win rates, revenue, discrepancies, and traffic quality. Collaborate with SSPs, DSPs, publishers, technical teams, and commercial partners to resolve issues, improve monetization, and scale ad-tech operations.

Own and scale paid mobile user acquisition across multiple ad networks, managing significant budgets and optimizing campaigns for profitable ROAS. Plan tests across networks, geographies, bids, audiences, and creatives; analyze cohort KPIs, ad monetization, SQL, BI dashboards, and MMP data; collaborate with creative, data, and monetization teams; manage network relationships; and report performance, learnings, and next steps to management.