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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong full-stack architecture expertise with React/Angular and Python services, alongside leadership in SQL performance and AI-assisted development governance. Proven ability to mentor engineers, define architectural standards, and operationalize CI/CD practices to enhance delivery velocity and quality.
Highest-signal resume keywords
Full-Stack ArchitectureSQL Performance LeadershipTechnical LeadershipAI-Assisted Development GovernanceCI/CD Operationalization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ReactAngularPythonSQLCI/CDContainerizationData ArchitecturePerformance OptimizationError HandlingTesting
Soft Skills
MentoringCoachingCollaborationLeadershipStakeholder Management
Tools & Technologies
DatabricksSnowflakeLLMRAGTemplates
Industry Keywords
Intelligent ApplicationsMulti-Team LeadershipGovernance MindsetHigh-Trust Client EnvironmentsAgentic Engineering
Tech Stack
Tools & technologiesAngularPythonReactSQL
About the role
Key responsibilities & impact- Own architecture and delivery across multiple workstreams for Intelligent Applications
- Define build approaches, templates, standards, and quality gates for forward deployed engagements
- Mentor and guide multiple engineers
- Lead UI, API, and data streams with sequencing, risk management, and integration plans
- Define reference architectures and standards for SOLID/MVC boundaries, error handling, testing, observability, and security
- Drive performance and data architecture decisions, including SQL/query patterns, indexing strategy, and data contracts
- Create reusable accelerators such as scaffolds, templates, spec/context packages, PR checklists, CI quality gates, LLM/RAG reference modules, and evaluation scaffolding
- Partner with data teams using Databricks or Snowflake for analytics/ML adjacency
- Operationalize CI/CD and containerization standards, including pipeline guardrails, environment parity, container-first development workflows, and release verification
- Coach senior and mid-level engineers to improve team throughput and quality
- Partner with leadership and clients to quantify impact and adoption
- Establish or strengthen standards and reusable assets that improve delivery velocity
- Lead a multi-stream delivery track with strong quality and stakeholder trust
- Reduce recurring issues through systemic fixes, tests, observability, and templates
Requirements
What you’ll need- 6–8+ years equivalent experience or demonstrated staff-level impact
- Demonstrated multi-team or multi-stream technical leadership
- Strong full-stack architecture depth with React/Angular and Python services
- SQL performance leadership
- Strong best-practices governance mindset
- Demonstrated leadership shipping production LLM systems, including RAG, tool use, and evaluations
- Engineering governance around AI-assisted development, including verification, secrets/PII, and supply chain
- Preferred: experience operating in high-trust client environments and leading transformations
- Preferred: experience establishing agentic engineering guardrails and templates across teams
- Nice to have: Databricks and/or Snowflake lakehouse/warehouse depth, including secure patterns, performance, and operational integration with apps/APIs
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401K
- PTO
- Paid holidays
- Commuter benefits
- Spending accounts
- Life insurance
- Disability coverage
- EAPs