Entry Level Software Engineer

Uptime Crew; Washington (District of Columbia); Hybrid; USD 75,000 - 95,000; Full time

Benefits offered by this job

Biweekly stipend

Health insurance

Matching 401(k)

Voluntary life insurance

11 paid days off per year

Industry certifications

Inclusive culture

Job summary

Uptime Crew is offering an Entry Level Software Developer (AI Native) program in the Washington DC area. You will start with a 10-week paid remote training, then join a client engineering team on-site with hybrid options.

The role emphasizes AI-assisted development, secure DevSecOps practices, and a fast learning Agile environment. Compensation begins at $75,000 in Year 1 and grows to $95,000 in Year 2, with benefits including health insurance, 401(k) matching, and paid days off.

Qualifications

• Hands-on coding experience through coursework, projects, or internships.
• Strong fundamentals in data structures, algorithms, and web or backend basics.
• Ability to learn quickly and work in an Agile team.

Responsibilities

• Drive the adoption of AI-assisted DevSecOps practices to accelerate secure containerization.
• Develop and maintain AI-enhanced CI/CD pipelines with automated security policies.
• Use AI coding assistants for implementation, refactoring, and documentation while following guidelines.
• Generate unit and integration tests and improve coverage.
• Speed up PRs with AI-assisted reviews, summaries, and risk notes.
• Query logs and docs with AI to troubleshoot issues.
• Partner with product, design, security, and compliance to ship increments to production standards.

Skills

Java

Python

Spring Boot

REST

gRPC

React

SQL

GitHub

CI/CD

Docker

AWS

GCP

Tools

LangChain

Cursor

Windsurf

GitHub Copilot

Job description

Entry Level Software Developer (AI Native)

Location(Hybrid): Arlington, VA; Washington D.C.

U.S. Citizens Only

Why this role

Start your career using AI to code faster, test better, and ship with confidence. Uptime Crew hires you, pays you to train for 10 weeks, then deploys you to our client's engineering team.

The program

• Paid remote training, 10 weeks. Agile sprints, code reviews, and realistic tickets.
• Curriculum focus: AI-assisted software development, prompt patterns for coding and testing, secure and compliant AI use in regulated environments, code quality and reliability, SDLC automation, cloud deployment basics.
• Capstone: Deliver a production-style slice that uses AI tools to cut cycle time, raise test coverage, and improve documentation quality.
• Deployment: Join the client team on-site, contribute to existing services and apps, and continue using AI to accelerate delivery.

What you will do on assignment

• Drive the adoption of AI-assisted DevSecOps practices, using large language models and automation tools to accelerate secure containerization of legacy applications while maintaining security compliance.
• Develop and maintain AI-enhanced CI/CD pipelines that automatically generate security policies, container configurations, and infrastructure-as-code templates based on application requirements and best practices.
• Use AI coding assistants for implementation, refactoring, and documentation while following team guidelines.
• Generate unit and integration tests, improve coverage, and reduce defects.
• Speed up PRs with AI-assisted reviews, summaries, and risk notes.
• Query logs and docs with AI to troubleshoot issues and unblock work.
• Partner with product, design, security, and compliance to ship increments to production standards.

Java or Python, Spring Boot or Node, REST and gRPC, React, SQL, GitHub, CI/CD, Docker, AWS or GCP. AI tools such as LangChain, Cursor, Windsurf, GitHub Copilot, code review assistants, test generators, and documentation copilots.

• Hands-on coding experience through coursework, projects, or internships.
• Strong fundamentals in data structures, algorithms, and web or backend basics.
• Ability to learn quickly and work in an Agile team.
• Willing to work hybrid in D.C. or Virgina
• Pass a coding challenge, background check, and drug screening.

Nice to have

• Projects that show AI-assisted development, such as AI-generated tests or AI-supported refactors.
• Experience with cloud services, databases, or CI/CD.
• Interest in security, privacy, and handling sensitive data.

Benefits and compensation

• During training: Paid biweekly stipend plus benefits.
• Health insurance including medical, vision, and dental.
• Matching 401(k).
• Voluntary life insurance.
• 11 paid days off per year.
• Industry certification(s).
• Inclusive, collaborative culture.

Entry Level AI Engineer responsibilities

• Development in Java, Spring Boot, Microservices, API while providing expertise in the full software development lifecycle, from concept and design to testing, designing, developing and delivering high-volume, low-latency applications for mission-critical systems.
• Participate in technical solution and design discussions.
• Perform proofs of concept and comprehensive solutions throughout the development lifecycle.
• Add new features while improving efficiency, reliability, and scalability to address client needs.

Compensation

Year 1: $75,000

Year 2: $95,000

About Uptime Crew

Uptime Crew is technology-focused and delivers talent in Full-Stack engineering, Cloud, DevSecOps, Networking, Cyber Security, Artificial Intelligence, Business Intelligence, Data Science, and Machine Learning. Our training uses realistic client environments so you can contribute quickly.

Equal Opportunity Employment

Uptime Crew is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law.