> Markdown version of [/jobs/ext/4413436-software-engineer-with-devops](https://www.wearedevelopers.com/jobs/ext/4413436-software-engineer-with-devops). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer with DevOps - **Company:** PLATINUM GLOBAL SOLUTIONS LLC - **Location:** Tucson, AZ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, JIRA, Microsoft Azure, C++ (Programming Language), Cloud Engineering, CompTIA Security+, Extract Transform Load (ETL), Linux, DevOps, Github, Python (Programming Language), NumPy, Queueing Systems, RabbitMQ, Red Hat Enterprise Linux, Ansible, Prometheus, SciPy, Security Software, Software Engineering, Software Systems, SonarQube, Tripwire, Data Processing, Scripting, Grafana, Database Optimization, Spring-boot, Gitlab, Git, Cloudformation, Fastapi, Pandas, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Performance Monitor, Restful APIs, Terraform, Devsecops, Docker, Elk Stack, Legacy Systems, Jenkins, Vulnerability Analysis, Programming Languages, Microservices - **Published:** October 26, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-with-devops-tucson-az--9e2044ff-20d2-45d4-a5ce-d94432763aa0 ## About the Role Software Engineering, DevOps, Sensitive Compartmented Information (SCI), Top Secret Clearance, Intelligence Community, DevOps, Software Engineering, Security Software, Cloud Architecture, Operational Support, Platinum Global Talent Solutions is seeking a dynamic Software Engineer with 2-10 years of DevOps experience to design and deliver mission-critical applications for the Intelligence Community and Department of Defense. This role offers the opportunity to innovate, collaborate, and directly impact national security through modern software solutions., * Skilled in multiple programming languages; Python preferred * Familiar with Python data science libraries (NumPy, pandas, SciPy) * Experience developing RESTful microservices (FastAPI, Spring Boot) * Refactored legacy systems into containerized/microservice architectures * Strong understanding of scaling strategies (vertical/horizontal) * Built and maintained ETL pipelines; worked with RabbitMQ or similar brokers * Knowledge of database optimization and administration * Experience with Agile workflows (Jira, sprints) * Used quality/security scanning tools (SonarQube, NexusIQ, Trivy) * Deployed and troubleshot applications in Kubernetes clusters * Managed secure container registries and applied image hardening * Familiar with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation) * Used monitoring/observability tools (Prometheus, Grafana, ELK stack) * Applied security best practices and compliance requirements Certifications (Preferred): AWS DevOps Engineer, CKA, CKAD Qualifications * Bachelors or Masters in Computer Science, Engineering, or related field * Experience building, deploying, and maintaining production systems * Proficient with Linux/Unix (Rocky, RHEL, or similar) * Skilled in Python or other modern languages (C/C++, Java) * Hands-on experience with Docker, Kubernetes, Helm * Understanding of DevSecOps principles and CI/CD pipelines (GitLab, Jenkins, GitHub Actions) * Familiar with cloud platforms (AWS, GovCloud, Azure, GCP) * Strong Git version control skills * Excellent problem-solving, collaboration, and communication abilities * CompTIA Security+ certification (or ability to obtain within 30 days) * Active TS clearance required; TS/SCI preferred ## Description As part of a small, highly skilled team, you will enhance and modernize cloud architectures supporting vital operations: * Design, develop, and deploy scalable applications in containerized environments * Build and manage systems with Docker and Kubernetes * Create and maintain CI/CD pipelines for reliable delivery * Develop and optimize ETL pipelines for efficient data processing * Configure and maintain message queuing systems (RabbitMQ, etc.) * Automate infrastructure management with Python scripting * Monitor performance, improve reliability, and drive efficiency * Collaborate on best practices for deployment and infrastructure * Promote clarity and maintainability through clean design and lightweight documentation