Software Engineer Cloud & DevSecOps

Software Engineer Cloud & DevSecOps (RDT&E)

Location : Dahlgren VA

Full-Time with benefits

Salary Range: $120K-$140K

Position Overview

Strategic Data Systems is seeking an experienced Software Engineer Cloud & DevOps to support the Naval Surface Warfare Center Dahlgren Division (NSWCDD) Research Development Test & Evaluation (RDT&E) environment in Dahlgren Virginia.

This position offers an opportunity for an accomplished software engineering professional to contribute to the design development integration deployment and modernization of mission-critical applications and supporting infrastructure within a complex Department of Defense (DoD) technical environment.

The successful candidate will bring a strong combination of software development expertise cloud engineering experience DevOps automation capabilities and advanced technical troubleshooting skills. This individual will support the complete software development lifecycle while helping shape technical solutions improve development practices strengthen system reliability and enhance operational efficiency.

Responsibilities

Software Engineering and Application Development

• Design develop maintain and enhance secure scalable and high-performance web applications supporting mission-critical RDT&E operations.
• Contribute to software architecture and technical design decisions emphasizing maintainability reliability performance and long-term sustainability.
• Develop and maintain application functionality using modern programming languages and frameworks including JavaScript and related full-stack technologies.
• Support the integration of applications with enterprise data sources analytics platforms reporting systems and supporting infrastructure.
• Develop and execute comprehensive automated testing strategies including unit functional integration performance and acceptance testing.
• Conduct code reviews identify opportunities for optimization and promote software engineering best practices.
• Diagnose and resolve complex application issues through systematic troubleshooting debugging and root-cause analysis.
• Identify opportunities to modernize legacy applications streamline development processes and improve overall software quality.

Cloud Engineering and Infrastructure Support

• Support the development deployment configuration and maintenance of applications operating within Microsoft Azure and Amazon Web Services (AWS) environments.
• Troubleshoot complex technical issues spanning application code cloud infrastructure networking and supporting services.
• Evaluate cloud-hosted application performance availability security and operational efficiency.
• Collaborate with infrastructure and cybersecurity teams to ensure applications are properly configured secured monitored and maintained.
• Support Infrastructure as a Service (IaaS) virtualization and hybrid cloud solutions.
• Recommend improvements to cloud architectures deployment strategies and operational processes to enhance reliability and scalability.
• Assist with application and infrastructure lifecycle planning deployment coordination upgrades and sustainment activities.

DevSecOps Automation and Containerization

• Design develop maintain and optimize Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitLab.
• Implement automation solutions that improve development efficiency deployment consistency and software delivery reliability.
• Support GitLab version control repository management pipeline configuration and automated testing integration.
• Develop configure and maintain Helm charts supporting containerized application deployments.
• Support application deployment and troubleshooting within Docker and Kubernetes environments.
• Identify and resolve deployment failures configuration inconsistencies and pipeline performance issues.
• Implement secure configuration and secrets management practices utilizing HashiCorp Vault.
• Collaborate with development operations and cybersecurity personnel to strengthen DevSecOps practices throughout the software development lifecycle.
• Evaluate opportunities to reduce manual processes through scripting automation and improved engineering workflows.

Cybersecurity and Secure Software Development

• Incorporate security considerations throughout application design development testing and deployment activities.
• Apply secure coding standards and development practices consistent with applicable DoD cybersecurity requirements.
• Support vulnerability identification remediation code validation and security testing activities.
• Collaborate with cybersecurity professionals to address application and infrastructure security concerns.
• Maintain awareness of security requirements affecting cloud-hosted applications containerized environments and software deployment processes.
• Support compliance documentation audit readiness and adherence to organizational security policies.
• Identify opportunities to improve security automation and strengthen the overall security posture of supported applications.

Technical Leadership and Customer Engagement

• Serve as a trusted technical resource and subject matter expert for software engineering cloud deployment and DevOps-related activities.
• Collaborate directly with government stakeholders engineering personnel system administrators and cybersecurity teams to understand requirements and develop effective technical solutions.
• Provide informed recommendations regarding application architecture deployment strategies technical risks and engineering improvements.
• Independently investigate complex technical challenges and develop practical sustainable resolutions.
• Participate in technical planning sessions design reviews and discussions concerning system modernization and operational improvements.
• Mentor and share technical knowledge with other team members to promote consistent engineering practices and professional development.
• Develop and maintain technical documentation configuration procedures troubleshooting guides and standard operating procedures.
• Communicate technical findings recommendations and potential operational impacts clearly to both technical and nontechnical stakeholders.

Required Qualifications

• Five to eight (58) years of relevant professional experience in software engineering full-stack development cloud engineering DevOps or closely related technical disciplines.
• IAT Level 2 certification such as CompTIA Security
• Top Secret security clearance
• Demonstrated experience developing maintaining and troubleshooting enterprise-level web applications.
• Strong working knowledge of JavaScript and modern software development principles.
• Hands-on experience supporting applications or infrastructure within Microsoft Azure and/or AWS cloud environments.
• Demonstrated experience with GitLab including version control CI/CD pipeline development configuration optimization and automation.
• Experience implementing automated software testing and validation processes.
• Working knowledge of containerized application deployment practices including Docker Kubernetes and Helm.
• Experience with HashiCorp Vault or comparable secure secrets management technologies.
• Strong understanding of software architecture application integration and the software development lifecycle.
• Demonstrated ability to diagnose and resolve complex technical issues across software infrastructure and cloud environments.
• Understanding of secure coding principles cybersecurity compliance requirements and vulnerability remediation practices.
• Experience participating in technical design discussions and recommending improvements to application performance reliability and maintainability.
• Demonstrated ability to work independently manage competing technical priorities and deliver solutions with limited supervision.
• Experience working directly with customers or technical stakeholders to assess requirements and resolve operational challenges.
• Strong analytical organizational written communication and interpersonal skills.

Preferred Qualifications

• Bachelors degree in Computer Science Software Engineering Information Technology Computer Engineering or a related technical discipline.
• Experience developing applications using Python Flask Java Spring TypeScript and HTML.
• Advanced experience configuring administering and troubleshooting Kubernetes environments.
• Experience developing and maintaining Helm charts for enterprise containerized applications.
• Experience designing or improving cloud-based application architectures within Azure or AWS.
• Experience supporting hybrid cloud environments including on-premises infrastructure virtualization cloud identity management and storage solutions.
• Familiarity with cloud monitoring logging observability and performance optimization tools.
• Strong understanding of networking fundamentals including TCP/IP routing VPNs VLANs peering and load balancing.
• Experience implementing Infrastructure as Code (IaC) configuration management or infrastructure automation solutions.
• Experience integrating automated security testing and compliance validation into CI/CD pipelines.
• Familiarity with DoD cybersecurity requirements secure development environments and Risk Management Framework (RMF) processes.
• Experience supporting software development and infrastructure operations within DoD federal government or other highly regulated environments.
• Demonstrated experience improving engineering processes modernizing applications or implementing technical automation initiatives.
• Relevant industry certifications in cloud engineering software development Kubernetes DevOps or cybersecurity.

Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

IC