ZipRecruiter

Log In

1

Trainee Full Stack Python Developer Jobs (NOW HIRING)

SmartIPlace

Full Stack Python Developer

New York, NY · On-site

$85 - $90/hr

Development environment For a full-stack web application, · Backend: Use Python (with Django) to ... MS SQL server Responsibilities of developers · Develop Business applications by following the ...

Infosys

Full Stack Python Developer

Charlotte, NC · On-site

Required Skill and Experience Python, GraphQL, AWS, ReactJs Full-Stack Cloud Engineer to help design and build an enterprise AI/ML platform portal that enables modeling teams to securely host their ...

Infosys

Full Stack Python Developer

Charlotte, NC · On-site

Required Skill and Experience Python, GraphQL, AWS, ReactJs Full-Stack Cloud Engineer to help design and build an enterprise AI/ML platform portal that enables modeling teams to securely host their ...

CGI

Senior AWS Full Stack Python Developer

Almont, CO · On-site

CGI is seeking a Senior Full Stack Python / AWS Developer to support enterprise cloud application development in a highly regulated financial services environment. This role will focus on building ...

next page

Showing results 1-20

All JobsFull Stack Python Developer JobsTrainee Full Stack Python Developer Jobs

Trainee Full Stack Python Developer information

See salary details

$59.5K

$129.8K

$183.5K

How much do trainee full stack python developer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for trainee full stack python developer in the United States is $129,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $151,000.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Full Stack Python Developer vs Junior Web Developer?

AspectTrainee Full Stack Python DeveloperJunior Web Developer
Required SkillsBasic Python, HTML, CSS, JavaScript, understanding of frameworksHTML, CSS, JavaScript, basic backend knowledge
Experience LevelEntry-level, training-focusedEntry-level, some practical experience preferred
Work EnvironmentInternship or training program, collaborative teamsDevelopment teams, client projects
CertificationsNot mandatory, but relevant courses helpfulNot mandatory, portfolio often valued

While both roles are entry-level and involve web development, a Trainee Full Stack Python Developer focuses on learning both frontend and backend with Python, often in a training setting. A Junior Web Developer typically works on frontend or backend tasks with basic skills. The trainee role emphasizes learning and growth, whereas the junior role involves contributing to ongoing projects.

What cities are hiring for Trainee Full Stack Python Developer jobs? Cities with the most Trainee Full Stack Python Developer job openings:
What are the most commonly searched types of Full Stack Python Developer jobs? The most popular types of Full Stack Python Developer jobs are:
What states have the most Trainee Full Stack Python Developer jobs? States with the most job openings for Trainee Full Stack Python Developer jobs include:
Trainee Full Stack Python Developer jobs near you
Full Stack Python Developer - Herndon, VA. Must have an active Secret Security Clearance

Full Stack Python Developer - Herndon, VA. Must have an active Secret Security Clearance

Navitas Business Consulting Inc

Herndon, VA • On-site

Other

Posted 28 days ago

Job description

Position Title: Full Stack Python Developer 
Job ID#: 26-1106
Clearance: Secret 
Location: Herndon, VA

What You’ll Do:
Navitas is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.
You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. This role partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability.
The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users.

Responsibilities will include but are not limited to:

  • Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.

  • Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.

  • Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.

  • Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.

  • Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.

  • Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.

  • Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.

  • Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.

What You’ll Need:

  • Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.

  • Must have: Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.

  • Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.

  • Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.

  • Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.

Apply