Job Details

Title: Lead Engineer (Full Stack / Cloud)
Location : Rockville, MD or McLean, VA
Target Start Date : SAP
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.
• bility 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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