Senior Full Stack Software Engineer

Description

• Develop and maintain a highly available, low-latency, and scalable API and full stack applications

• Write clean, efficient, and well-documented code for both front-end and back-end components

• Leverage managed cloud services, serverless data warehouse, managed RDBMS, serverless execution, asynchronous messaging, and orchestration for complex processes

• Utilize Terraform to define and manage infrastructure as code (IaC)

• Collaborate closely with cross-functional teams, including product owners, data scientists, and other engineers

• Take ownership of the entire software development lifecycle from conception and design to deployment and maintenance

• Troubleshoot and resolve complex technical issues to ensure reliability and performance of systems

Requirements

• Active TOP SECRET DOD Security Clearance (active) required

• U.S. Citizenship required for positions requiring government security clearance

• Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience

• Extensive experience in full stack software development with proven track record designing and building high-performance, scalable APIs and web applications

• Back-end: Python (or Node.js, Java, or similar) and frameworks like Django, Flask, or FastAPI

• Front-end: JavaScript/TypeScript, React, Angular, or Vue.js

• Database technologies: SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB)

• Strong, hands-on experience with cloud providers such as GCP, Azure, and AWS and managed cloud services

• Proficiency with Infrastructure as Code, particularly Terraform

• Solid understanding of distributed systems, modular monolithic architecture, and API design principles

• Excellent problem-solving skills and ability to work effectively in a collaborative, fast-paced environment

• Troubleshooting and system reliability/performance skills

• Experience with Site Reliability Engineering (SRE) principles (desired)

• Background in Geospatial data processing and analysis (desired)

• Familiarity with containerization technologies such as Docker and Kubernetes (desired)

• Experience with modern DevOps practices and CI/CD pipelines (desired)

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