• Build stuff that solves real problems, using whatever tech gets the job done best. • Get your hands dirty with everything from front-end, back-end, to data pipelines and AI models. • Make smart trade-offs between beautiful code and shipping fast (hint: we bias toward shipping).

• Contribute to delivering exceptional service for advanced analytical and scientific instruments • Install, maintain, troubleshoot, and repair complex instruments while providing outstanding customer support • Collaborate with customers in research, industrial, and healthcare environments • Work with cutting‑edge technology and contribute to scientific progress and innovation

• Deliver customer projects • 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

• Develop "Gold Standards" for client environments (e.g., standardizing Entra ID configurations or Intune policies across all tenants). • Manage and optimize the MSP's core toolset (RMM, PSA, Backup portals, and Documentation platforms). • Evaluate emerging tech (like AI-driven helpdesk automation) and decide if/how to integrate it into the service offering. • Act as the final "buck stops here" point for the most catastrophic or persistent technical issues. • Design complex migrations (Cloud-to-Cloud, M&A integrations) that Senior Engineers then execute. • Lead investigations into systemic failures to ensure they never happen again across any client site. • You are measured by how much better you make the other engineers. • Conduct code/script reviews and technical workshops. • Define how the team documents environments to ensure "Single Pane of Glass" visibility. • Oversee the implementation of zero-trust frameworks and MFA across the entire MSP stack. • Ensure client environments meet regulatory standards (HIPAA, CMMC, SOC2) through automated auditing.