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# Full-Stack Engineer

- **Company:** Anonymous Employer
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Big Data, Cloud Computing, Continuous Integration, Relational Databases, Distributed Systems, Identity and Access Management, Python (Programming Language), Operational Databases, Software Architecture, RabbitMQ, Role-Based Access Control, Software Engineering, TypeScript, Data Processing, Cloud Platform System, ReactJS, Backend, Kubernetes, Apache Kafka, Graphql, Front End Software Development, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Docker
- **Published:** July 29, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9064037/full-stack-engineer

## About the Role

3-6 years of professional full-stack or backend software engineering experience
Recent experience owning and shipping meaningful production systems
Strong backend development experience, ideally using Python
Experience designing REST, GraphQL, or equivalent production APIs
Hands-on experience with AWS and cloud infrastructure
Experience with event-driven or distributed architectures using Kafka, SQS, RabbitMQ, pub/sub systems, or similar technologies
Experience with relational databases, data modeling, and production data workflows
Ability to contribute across frontend technologies such as React and TypeScript
Experience building authentication, authorization, IAM, or RBAC functionality
Strong technical judgment and the ability to explain architectural decisions and tradeoffs
Exceptional written and verbal communication skills
Comfortable remaining a hands-on individual contributor in a fast-moving startup environment

Strong Plus

Experience at a Seed-Series C startup or as an early/founding engineer
Experience building a product or system from zero to production
AWS GovCloud experience
Current or previous U.S. security clearance
Experience supporting government, defense, aerospace, satellite, or regulated-industry customers
Experience with Docker, Kubernetes, Terraform, or similar infrastructure tooling
Familiarity with AI coding tools and the ability to critically evaluate their output
Customer-facing engineering, solutions engineering, or forward-deployed experience

You may be a strong fit if you:

Prefer ownership over narrowly scoped tickets
Enjoy turning incomplete customer needs into production software
Can move quickly without sacrificing technical judgment
Are comfortable working across backend, infrastructure, data, and frontend systems
Ask why systems work instead of relying entirely on existing playbooks
Want to stay close to the code and are not looking to move immediately into management
Communicate clearly, collaborate without ego, and enjoy working with customers
Work Environment

## Description

We are looking for a backend-leaning Full Stack Software Engineer who wants meaningful ownership and the opportunity to build major parts of a platform from the ground up.

You will work across backend services, APIs, data pipelines, cloud infrastructure, and customer-facing product surfaces. This is a hands-on individual contributor role for an engineer who enjoys solving ambiguous problems, making architectural decisions, and working directly with customers and company leadership.

The ideal balance is approximately 70% backend and 30% frontend.

What You'll Do

Design, build, and operate production backend services and APIs
Own features and systems from initial customer discovery through deployment
Build scalable data-processing and event-driven workflows
Develop secure authentication, authorization, and role-based access-control systems
Work with large, complex datasets and mission-critical operational workflows
Build customer-facing product experiences using modern frontend technologies
Deploy and operate services in AWS-based cloud environments
Establish reliable testing, observability, CI/CD, and production-support practices
Evaluate architectural tradeoffs and challenge assumptions, including AI-generated technical recommendations
Collaborate directly with customers, engineers, and company leadership


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