Title: Lead Engineer (Full Stack / Cloud)
Location : Rockville, MD or McLean, VA
Target Start Date : ASAP
Type: contract
Pay Rate: DOE
We are seeking an experienced
Lead Engineer to elevate development practices and provide architectural leadership for a rapidly growing, data-driven platform. This role is hands-on and impact-focused, with responsibility for improving delivery quality today while designing solutions that scale for future growth.
The ideal candidate is a strong technical leader who can mentor engineers, guide architecture, and set high standards across frontend, backend, and cloud-native systems.
Key Responsibilities - Engineering Excellence: Strengthen development workflows including code reviews, testing standards, deployment practices, and risk mitigation.
- AI-Assisted Development: Champion responsible use of AI coding tools while ensuring proper validation, security, and quality controls.
- Technical Leadership & Mentorship: Pair with engineers on complex implementations, serving as a technical guardrail and mentor.
- Architecture & Design: Lead the design of scalable, maintainable solutions that support increasing platform complexity and growth.
- Data & Performance Optimization: Improve data access patterns, query performance, ETL pipelines, caching strategies, and analytics performance.
- Frontend & UX Leadership: Drive best practices for modern UI development and intuitive, high-performance dashboard experiences.
- Cloud-Native Development: Collaborate across frontend, API, serverless, and infrastructure teams to deliver cohesive solutions.
- Cross-Team Collaboration: Work closely with product, analytics, and platform teams to align technical execution with business needs.
Required Qualifications - 7+ years of full-stack software engineering experience, including technical leadership responsibilities.
- Strong expertise in JavaScript/Node.js, modern frontend frameworks (Angular preferred), and AWS serverless architectures.
- Proven experience building data-driven applications, dashboards, and analytics-heavy user interfaces.
- Hands-on experience with cloud data services, serverless compute, and ETL pipelines.
- Strong background in query optimization, caching strategies, and performance tuning.
- Experience with business intelligence and analytics tools (e.g., QuickSight, Tableau, Power BI, or similar).
- Demonstrated ability to scale applications as system complexity and usage grow.
- Proven track record establishing effective engineering processes and development standards.
- Ability to mentor developers while remaining hands-on with design and implementation.
Immediate Impact Areas - Provide architectural and code review leadership across frontend, API, and serverless components.
- Improve development workflows to reduce delivery risk and increase consistency.
- Optimize data pipelines, queries, and dashboard performance.
- Enhance analytics and reporting capabilities for better insights and usability.
- Establish scalable architecture patterns for continued platform growth.
- Define and implement best practices for integrating AI tools into the development lifecycle.
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