Sr. DevSecOps Engineer

Ost•Orlando, FL

About The Position

Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Sr. DevSecOps Engineer Description of specific duties in a typical workday for this position: The DevSecOps Engineer (Data Platform) provides secure DevSecOps engineering support for enterprise data platforms, enabling reliable, scalable, and compliant data ingestion, processing, storage, and analytics. Individuals integrate security, automation, and continuous delivery practices into data platform development and operations to support trusted, high-availability data services across the enterprise. Responsibilities include designing, implementing, and maintaining CI/CD pipelines for data platforms; integrating security controls and compliance checks into automated workflows; and supporting secure deployment and operation of data services, pipelines, and analytics environments. The DevSecOps Engineer (Data Platform) collaborates with data engineers, cloud architects, cybersecurity personnel, and program stakeholders to ensure security, performance, and reliability are embedded throughout the data lifecycle. Additional duties include supporting containerization and orchestration of data services; implementing infrastructure-as-code (IaC) solutions; integrating vulnerability scanning and monitoring tools; supporting identity and access management for data platforms; and assisting with RMF and compliance documentation. The role monitors platform performance and security posture supports incident response and remediation and continuously improves automation and operational efficiency.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Technology, Cybersecurity, or a related technical discipline
Minimum of 10 years of experience supporting DevSecOps, platform engineering, or secure data platform operations within a DoD, Federal, or large enterprise environment
Demonstrated experience with: DevSecOps practices and CI/CD pipelines
Data platforms, data pipelines, or analytics environments
Infrastructure as Code (IaC) and automation tools
Containerization and orchestration technologies
Security integration and compliance support
Collaboration across data, cloud, and cybersecurity teams
Active Secret Clearance

Nice To Haves

Experience supporting enterprise data platforms, data lakes, or analytics ecosystems
Familiarity with: Cloud platforms (AWS, Azure, or similar)
Data pipeline technologies (ETL/ELT frameworks)
Kubernetes and container security
Monitoring and logging tools for data platforms
NIST SP 800-series and RMF requirements
Certifications such as: DevSecOps or cloud platform certifications
Security+ or cloud security credentials

Responsibilities

designing, implementing, and maintaining CI/CD pipelines for data platforms
integrating security controls and compliance checks into automated workflows
supporting secure deployment and operation of data services, pipelines, and analytics environments
collaborating with data engineers, cloud architects, cybersecurity personnel, and program stakeholders to ensure security, performance, and reliability are embedded throughout the data lifecycle
supporting containerization and orchestration of data services
implementing infrastructure-as-code (IaC) solutions
integrating vulnerability scanning and monitoring tools
supporting identity and access management for data platforms
assisting with RMF and compliance documentation
monitoring platform performance and security posture supports incident response and remediation and continuously improves automation and operational efficiency