Lead engineering strategy and architecture for SqlDBM v2, including security, scalability, AI enablement, DevOps, CI/CD, testing, observability, and deployment workflows. Hire, coach, and unblock full-stack engineering teams while maintaining React code quality and hands-on .NET development. Establish AI tooling standards, guardrails, productivity metrics, and reliable production delivery practices.
About We Comes Before Me Corp, D.B.A. SqlDBM
SqlDBM is redefining the data modeling space with a modern, cloud-native, enterprise-ready platform. Our browser-based solution empowers organizations to design, govern, and operationalize data architecture at scale across departments, teams, and global business units.
Trusted by Fortune 500 companies and industry leaders, SqlDBM serves as a critical component in the ongoing management and delivery of enterprise data platforms. We support complex, multi-cloud environments including Snowflake, Databricks, BigQuery, and Redshift. SqlDBM integrates with Git, dbt, and data catalogs to enable collaboration, architectural consistency, and continuous innovation. Our platform supports long-term transformation initiatives, not just one-time migrations.
- Technical strategy: Define architecture, tooling, security, and scaling for SqlDBM v2, then turn “we should” into “it’s in prod.”
- AI enablement: Formalize an AI toolchain (Cursor/Copilot, etc.), set prompt patterns, guardrails, and velocity metrics.
- Team leadership: Hire, coach, and unblock a squad of full‑stack engineers.
- Delivery & DevOps: Set up and maintain CI pipelines, automated testing, deployment workflows, observability, feature flags, etc.
- Frontend coordination: Keep our React codebase clean
- Backend: .NET Core
- Frontend: React
- Infrastructure: AWS
- LLM framework: Amazon Bedrock
- Proven engineering leadership (supported 10-30 devs across multiple squads).
- Hands‑on full‑stack depth: You can still sketch a migration or debug a stale cache without Slack‑splaining.
- Deep experience with ASP.NET and .NET Core.
- Database intuition: Understand normalization, indexing, and warehouse semantics.
- Familiarity with Amazon Bedrock and other Gen‑AI platforms; routine use of coding copilots, LLM‑powered code review, and automated test generation.
- Expertise in designing and operating CI/CD, automated testing pipelines, and smooth deployment flows - experience deploying to prod multiple times a day.
- Bias towards action. Clear metrics.
- Fully remote, async-first team.
- Annual bonus opportunity: Up to 10% of base salary tied to delivery and uptime targets.
- Equity: meaningful slice-sized for department lead.
- Hardware & AI‑tool budget.
- Benefits: 15 vacation & 5 sick days + 12 holidays; Comprehensive plan coverage for employee and covered dependents for medical, vision, dental, life, Short-term Disability, Long-Term Disability, and employer-sponsored 401k.
*Pay range is based on experience and location
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