Cloud Solutions Engineer (Data & Platform)

Depending on your specific background and track (Data vs. Platform), your responsibilities will include a blend of the following:

Infrastructure & Platform Engineering:

· Implement or maintain infrastructure-as-code, automation, and configuration management using tools such as Terraform, Ansible, or comparable platforms.

· Install, configure, harden, and troubleshoot Linux-based and cloud-based infrastructure services.

· Support testing and validation of integrated cloud, data, and application capabilities.

· Help ensure solutions are implemented in a secure, repeatable, resilient, and mission-ready manner.

Data Engineering & Integration:

· Design, develop, test, and support cloud-based data engineering capabilities.

· Build, maintain, and troubleshoot ETL pipelines and data workflows.

· Develop or integrate RESTful APIs, services, and data-driven applications where needed.

We are seeking a highly skilled, hands-on engineer who can integrate capabilities and seamlessly connect data, APIs, services, databases, software applications, and cloud platforms into working mission capabilities. The emphasis for this position is on practical implementation, automation, DevSecOps, data integration, and operational reliability rather than traditional requirements-focused systems engineering., · Active Secret security clearance with the ability to obtain a TS

· Hands-on experience with cloud platform engineering, cloud infrastructure, DevOps, DevSecOps, or platform operations -OR- Hands-on experience in data engineering, data integration, cloud data development, or software engineering.

· Experience supporting CI/CD pipeline implementation, deployment automation, or release support using GitLab CI/CD or similar tools.

· Experience administering, configuring, or troubleshooting Linux-based systems.

· Familiarity with secure software delivery practices and integrated development environments.

· Ability to support secure software and data practices, including safeguarding sensitive, proprietary, CUI, or classified information where applicable.

· Operate effectively in secure, government, defense, or mission-oriented environments.

· Bachelor’s degree in Information Technology, Computer Science, Engineering, or related field (or equivalent experience)

· 5+ years of related professional experience

Desired Qualifications:

· Experience with AWS cloud services and deployment patterns.

· Experience with Databricks or comparable cloud data platform environments.

· Platform Focus: Experience with Docker, Kubernetes, Helm, or similar container and orchestration technologies.

· Data Focus: Experience with Python, SQL, Spark, Java, or similar data engineering technologies.

· AWS certifications such as Solutions Architect, SysOps Administrator, DevOps Engineer, or comparable cloud certifications are a plus.

NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:

• Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.
• Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.
• Openly promote and communicate our ideas for change and adaptability.
• Strive to achieve results as an organization.
• Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.
• Value the talents and contributions of our employees as the key factor for our success.
• Create an environment where people can engage at all levels.
• Encourage people to take risks and allow them to make mistakes.