The Lead Full Stack Developer drives the design, delivery, and evolution of modern web applications, APIs, and system integrations, using AI to accelerate development and deliver intelligent features. This is a hands-on technical leadership role.
Compensation
The target salary range for this position is $128,000.00 - $160,000.00 annually
Responsibilities
Lead the technical design and delivery of full stack solutions, owning architecture decisions, standards, and best practices.
Mentor and coach developers, conduct code reviews, and foster a culture of quality, collaboration, and continuous improvement.
Plan and estimate work with product and project stakeholders, break down requirements, and ensure on-time, high-quality delivery.
Develop responsive front-end interfaces and robust back-end services using modern frameworks and languages.
Design, build, and document RESTful APIs (OpenAPI/Swagger) with strong security (OAuth 2.0, JWT), versioning, and error handling, and define API standards for the team.
Lead backend development for HealthEdge’s healthcare technology platform, designing and implementing new features, maintaining existing services, and ensuring high quality through testing and performance optimization.
Compensation
The annual US base salary range for this position is $145,000-$162,000/Yr.
Responsibilities
Implement new product features according to requirements
Work as a back-end server engineer in an agile team
Design and develop application components in Java
Solve technology and usability challenges
Ensure thorough unit, system, and integration testing
Lead the design, development, and maintenance of scalable backend services and APIs for Noetica’s document analysis platform, collaborating with AI/ML experts and legal SMEs to deliver high-performance, data-intensive solutions.
Locations (6)
New York City, New York, United States
San Francisco, California, United States
Los Angeles, California, United States
Irvine, California, United States
McLean, Virginia, United States
Principal Engineer – Supply Chain, Transportation Technology
Lead technology strategy and engineering for Target’s Transportation Technology team, driving AI-native applications, platform architecture, and enterprise-wide integration.
Compensation
The pay range is $168,000.00 - $303,000.00
Responsibilities
Set the technology vision and provide thought leadership
Shape Business and Product strategy
Drive AI-native applications and AI-enabled engineering
The Project Intake Developer serves as the technical backbone of the Design & Construction (D&C) Project Controls Program's intake platform, responsible for end-to-end management, stability, and feature upgrades.
Responsibilities
Serve as technical point of contact for customer-reported issues, bugs, and service disruptions
Triage, diagnose, and resolve platform defects performing root-cause analysis
Maintain a structured issue-tracking workflow using SIM or equivalent ticketing systems
Analyze complaint trends to identify systemic platform weaknesses
Own the product backlog for the Project Intake platform
Technology Service Delivery Manager and Backend Engineer to design and develop server-side services, APIs, and data integrations for financial services clients. The role involves architecture, governance, and technical leadership.
Responsibilities
Own end-to-end application architecture and technology roadmaps
Establish secure engineering patterns, reusable frameworks, and delivery governance
Lead cross-team decisions, modernization efforts, dependencies, and technical risk
Influence senior client and internal stakeholders
Mentor and develop technical leaders and engineers
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Design and build scalable backend services and APIs
Write maintainable, high-performance server-side code and data processing pipelines
Define clear, efficient API contracts and contribute to service architecture decisions
Design and craft compositional API primitives
Build and maintain integrations with third-party services and internal ML systems
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
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