1

Python And Kubernetes Software Engineer Data Jobs in Atlanta, GA

Associate - Data Engineering

Atlanta, GA · On-site

$110.10K - $132.20K/yr

This is a hands-on engineering role for a strong software developer with experience in Python and ... Working experience with containers and Kubernetes-based deployment environments. * Experience with ...

PYTHON DEVELOPER

Alpharetta, GA · On-site

$49 - $67.50/hr

... data scientists and ML engineers • Develop SDKs that support seamless model training ... software engineering practices to build developer friendly libraries • Design, develop, and ...

Principal Software Engineer

Norcross, GA · On-site

$126.60K - $169.70K/yr

Java, J2EE, and Python * Frameworks & Architecture: Microservices, Spring Boot * API Development ... Docker and Kubernetes * Monitoring & Observability: Prometheus and Grafana * Messaging & Streaming:

Principal Software Engineer

Norcross, GA · Hybrid

$126.60K - $169.70K/yr

Java, J2EE, and Python * Frameworks & Architecture: Microservices, Spring Boot * API Development ... Docker and Kubernetes * Monitoring & Observability: Prometheus and Grafana * Messaging & Streaming:

next page

Showing results 1-20

Python And Kubernetes Software Engineer Data information

What are the most commonly searched types of Python And Kubernetes Software Engineer Data jobs in Atlanta, GA? The most popular types of Python And Kubernetes Software Engineer Data jobs in Atlanta, GA are:
What are popular job titles related to Python And Kubernetes Software Engineer Data jobs in Atlanta, GA? For Python And Kubernetes Software Engineer Data jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Python And Kubernetes Software Engineer Data jobs in Atlanta, GA look for? The top searched job categories for Python And Kubernetes Software Engineer Data jobs in Atlanta, GA are:
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Atlanta, GA • Remote

$140K - $220K/yr

Full-time

Posted 9 days ago


Job description

Frontier Technology Inc. (FTI) is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.


Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4–IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate’s residence location, qualifications & experience.

#LI-SB1

#LI-Remote