Python Kubernetes Software Engineer Data Jobs in Bradenton, FL

TS/SCI Linux/UNIX Software Engineer DEV/OPS

• Sarasota, FL

Software Engineer with DevOps

Sarasota, Florida, USA

140000-180000

Job Description

We are seeking software developers with 2 to 10 years of experience in DevOps environments to help design, build, and support mission-focused applications.

The ideal candidate brings drive, adaptability, and collaboration to a team delivering innovative software solutions for the Intelligence Community and Department of Defense.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience building, deploying, and maintaining production software systems
• Proficient with Linux/Unix (Rocky, RHEL, or similar)
• Skilled in Python (preferred) or other modern languages such as C/C++ or Java
• Experience with containerization and orchestration tools (Docker, Kubernetes, Helm)
• Understanding of DevSecOps principles and best practices
• Hands-on experience creating and maintaining CI/CD pipelines (GitLab, Jenkins, GitHub Actions, etc.)
• Familiar with cloud platforms (AWS, GovCloud, Azure, or GCP)
• Knowledge of version control using Git
• Strong problem-solving, collaboration, and communication skills
• CompTIA Security+ certification (or ability to obtain within 30 days of hire)
• Active TS clearance required, TS/SCI Preferred

Bonus Points

• Programming & Development: Skilled in multiple programming languages
• Familiar with Python data science libraries (NumPy, pandas, SciPy, etc.)
• Experience developing RESTful microservices (FastAPI, Spring Boot, etc.)
• Architecture & Modernization: Refactored legacy systems into containerized or microservice architectures
• Strong understanding of vertical and horizontal scaling
• Data & Messaging: Built and maintained ETL pipelines for data processing
• Worked with RabbitMQ or similar message brokers
• Knowledge of database optimization and administration
• DevOps & CI/CD: Experience with Agile workflows (Jira, sprints)
• Used quality and security scanning tools (SonarQube, NexusIQ, Trivy)
• Containers & Kubernetes: Deployed, maintained, and troubleshot applications in Kubernetes clusters
• Managed secure container registries and applied image hardening best practices
• Infrastructure & Cloud: Familiar with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Used monitoring and observability tools (Prometheus, Grafana, ELK stack) to add metrics and alerts
• Security & Compliance: Applied security best practices and compliance requirements
• Domain & Certifications: Experience supporting DoD or IC mission systems; Relevant certifications: AWS DevOps Engineer, CKA, CKAD

Job Duties

• Join a small, experienced team enhancing and modernizing cloud architectures supporting key operations.
• Design, develop, and deploy scalable applications in containerized environments.
• Build and manage containerized systems using Docker and Kubernetes.
• Design and maintain CI/CD pipelines for reliable software delivery.
• Develop and optimize ETL pipelines for efficient data processing.
• Configure and maintain message queuing systems (RabbitMQ, etc.).
• Write Python scripts to automate infrastructure management and deployment tasks.
• Monitor performance and improve reliability and efficiency.
• Collaborate with developers to define best practices for deployment and infrastructure.
• Promote clarity and maintainability through clean design and lightweight documentation.

Why is This a Great Opportunity

Required Qualifications

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience building, deploying, and maintaining production software systems
• Proficient with Linux/Unix (Rocky, RHEL, or similar)
• Skilled in Python (preferred) or other modern languages such as C/C++ or Java
• Experience with containerization and orchestration tools (Docker, Kubernetes, Helm)
• Understanding of DevSecOps principles and best practices
• Hands-on experience creating and maintaining CI/CD pipelines (GitLab, Jenkins, GitHub Actions, etc.)
• Familiar with cloud platforms (AWS, GovCloud, Azure, or GCP)
• Knowledge of version control using Git
• Strong problem-solving, collaboration, and communication skills
• CompTIA Security+ certification (or ability to obtain within 30 days of hire)
• Active TS clearance required, TS/SCI Preferred

Bonus Points

• Programming & Development: Skilled in multiple programming languages
• Familiar with Python data science libraries (NumPy, pandas, SciPy, etc.)
• Experience developing RESTful microservices (FastAPI, Spring Boot, etc.)
• Architecture & Modernization: Refactored legacy systems into containerized or microservice architectures
• Strong understanding of vertical and horizontal scaling
• Data & Messaging: Built and maintained ETL pipelines for data processing
• Worked with RabbitMQ or similar message brokers
• Knowledge of database optimization and administration
• DevOps & CI/CD: Experience with Agile workflows (Jira, sprints)
• Used quality and security scanning tools (SonarQube, NexusIQ, Trivy)
• Containers & Kubernetes: Deployed, maintained, and troubleshot applications in Kubernetes clusters
• Managed secure container registries and applied image hardening best practices
• Infrastructure & Cloud: Familiar with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Used monitoring and observability tools (Prometheus, Grafana, ELK stack) to add metrics and alerts
• Security & Compliance: Applied security best practices and compliance requirements
• Domain & Certifications: Experience supporting DoD or IC mission systems; Relevant certifications: AWS DevOps Engineer, CKA, CKAD

Job Duties

• Join a small, experienced team enhancing and modernizing cloud architectures supporting key operations.
• Design, develop, and deploy scalable applications in containerized environments.
• Build and manage containerized systems using Docker and Kubernetes.
• Design and maintain CI/CD pipelines for reliable software delivery.
• Develop and optimize ETL pipelines for efficient data processing.
• Configure and maintain message queuing systems (RabbitMQ, etc.).
• Write Python scripts to automate infrastructure management and deployment tasks.
• Monitor performance and improve reliability and efficiency.
• Collaborate with developers to define best practices for deployment and infrastructure.
• Promote clarity and maintainability through clean design and lightweight documentation.