Poly)

JTEC Consulting•Chantilly, VA

7d•Onsite

About The Position

JTEC Consulting is actively hiring Mid-Level and Senior Python Software Engineers to join a specialized team developing and deploying high-impact data systems across classified federal environments in Chantilly, VA. In this role, you will design, build, and deploy containerized microservices and backend APIs in an AWS cloud infrastructure supporting multiple active task orders across data science and software engineering initiatives. In this role you will work within an agile team of developers, data scientists, and mission experts to solve complex, data-heavy challenges.

Requirements

U.S. citizenship
Current TS/SCI with polygraph required for consideration
Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline (equivalent years of direct experience considered in lieu of a degree).
Mid-Level: 5+ years of software development experience with a focus on Python.
Senior Level: 8+ years of software development experience with advanced architectural design experience.
Modern Python development (FastAPI, Flask, or similar REST frameworks).
Relational & Object-Relational Mapping tools (e.g., SQLAlchemy, SQL databases).
Containerization & Orchestration (Docker, Kubernetes, or Helm).
Cloud Computing experience (AWS, AWS C2S, EC2, Lambda, VPC).
Version Control & Automation (Git, Jenkins, CI/CD pipelines).

Nice To Haves

Hands-on experience with big data processing tools (PySpark, Airflow, Trino, NiFi, or Hadoop).
Experience configuring and maintaining Elasticsearch / ELK Stack or OpenSearch clusters.
Knowledge of additional languages (Java, C++, or Bash scripting).
Familiarity with machine learning frameworks or data modeling techniques.

Responsibilities

Design, build, and maintain scalable backend microservices and APIs using Python and FastAPI.
Deploy, manage, and scale microservices within secure cloud environments (AWS C2S) using Kubernetes, Docker, and Helm.
Build and optimize data pipelines and search capabilities across large-scale structured and unstructured datasets using SQLAlchemy, OpenSearch/Elasticsearch, and PySpark.
Automate software testing, integration, and deployment using Jenkins, Git/GitHub, and shell scripting.
Participate in end-to-end agile development sprints, conduct peer code reviews, and align engineering practices with security guidelines (ISSM/IA).