Customer Delivery Engineer

🕒 Maio 7

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TigerData (creators of TimescaleDB)

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

☁️ SaaS

🤖 Inteligência Artificial

Database • SaaS • Artificial Intelligence

A TigerData é a criadora do TimescaleDB e oferece um serviço de nuvem PostgreSQL confiável, projetado para cargas de trabalho de alto desempenho, especialmente em séries temporais e analytics em tempo real. Com foco em segurança e escalabilidade, a TigerData atende aplicações exigentes em diversos setores, proporcionando ingestão de dados ultrarrápida, consultas complexas e gestão eficiente de grandes volumes de dados. Seus serviços são adequados para aplicações voltadas ao cliente e são usados por empresas líderes em setores como IoT, IA e finanças.

Descrição

• Own the hardest part of customer adoption. Ship real results, fast. • Provide customer project delivery. • Implement migrations, data optimizations, and schema designs. • Scope and execute engagements with clear, measurable deliverables. • Fix complex technical problems. • Tune slow queries and configurations. • Write tactical fixes and scripts to unblock customers quickly. • Apply AI to accelerate engineering. • Use copilots (LLMs, AI assistants) to generate query rewrites and test optimizations. • Create reusable AI prompts and delivery playbooks. • Bridge architecture and reality. • Translate reference architectures into customer-specific deployments. • Adapt TigerData features (e.g., Hypertables, Hypercore, continuous aggregates, vector search) to real workloads. • Be the customer’s technical champion. • Own technical success during project delivery. • Escalate to core Engineering only when there’s a product-level gap. • Capture and share knowledge. • Write playbooks, scripts, and internal guides. • Feed learnings back to Product and Engineering.

🎯 Requisitos

• Have deep hands-on experience with PostgreSQL — especially SQL tuning, performance optimization, and schema design • Have delivered complex migrations, data transformations, or optimizations in production environments • Are fluent in SQL and Python (or similar scripting languages for data work) • Are comfortable leading technical conversations with customers, especially under pressure • Love using AI tools (copilots, LLMs) to speed up query rewriting, code generation, or problem diagnosis • Communicate clearly and know how to explain tradeoffs to customers in high-stakes moments • Bonus: experience in Implementation Engineering, Integration Engineering, Solutions Engineering, Professional Services, or Technical Consulting

🏖️ Benefícios

• Flexible PTO and comprehensive family leave • Fridays off in August 😎 • Fully remote opportunities globally • Stock options for long-term growth • Monthly WiFi stipend • Professional development and educational resources 📚 • Premium insurance options for you and your family (US-based employees)