Enterprise Architect

Description

Leidos is looking for an Enterprise Architect to support a large U.S. Department of Justice (DOJ) program. The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace. The Enterprise Architect will be responsible for architecting, designing, and driving the adoption of DevOps methodologies across the organization. This individual will play a key role in defining and implementing strategies for automating software delivery and infrastructure management. You will collaborate with cross-functional teams, including software development, IT operations, security, and business stakeholders, to ensure that the organization's IT infrastructure supports the efficient and secure delivery of products and services. This work is located onsite in the DC area.

• Define and implement the DevOps architecture and strategy to align with business objectives, improving software delivery speed, quality, and scalability.
• Design scalable, resilient, and secure systems that leverage continuous integration (CI), continuous deployment (CD), and automated testing frameworks.
• Create and maintain architecture blueprints that incorporate DevOps best practices and automation tools for both development and operational workflows.
• Lead the design and implementation of CI/CD pipelines to automate the software development lifecycle (SDLC).
• Integrate tools like Jenkins, GitLab CI, CircleCI, Azure DevOps, or others for automated build, test, and deployment processes.
• Ensure seamless deployment workflows across on-premise, cloud, and hybrid environments, including staging and production.
• Promote and drive the use of Infrastructure as Code (IaC) to automate infrastructure provisioning and management using tools such as Terraform, Ansible, Chef, or Puppet.
• Develop automated processes for managing cloud resources, including configuration management, server provisioning, and network setup.
• Implement and maintain robust monitoring, logging, and alerting systems using tools such as Prometheus, Grafana, Splunk, or ELK Stack.
• Ensure the performance, reliability, and security of DevOps environments by continuously assessing and optimizing both infrastructure and deployment pipelines.
• Define key performance indicators (KPIs) for DevOps processes and lead the continuous improvement of operational efficiency.
• Architect cloud-based and hybrid solutions to support agile development and continuous delivery with platforms like AWS, Azure, and Google Cloud.
• Provide guidance on selecting and integrating cloud-native services for containerization, microservices, and orchestration (e.g., Kubernetes, Docker).
• Develop and maintain comprehensive documentation for DevOps processes, pipelines, and automation scripts.

• Bachelor's with 12+ years of relevant experience or Master's degree with 10+ years of relevant experience in Computer Science, Information Technology, Engineering, or a related field.
• 7+ years of experience in IT architecture or engineering, with at least 3-5 years of hands-on experience in DevOps practices and tools.
• Strong understanding of DevOps principles, including automation, CI/CD, and infrastructure management.
• Expertise in CI/CD tools such as Jenkins, GitLab, Azure DevOps, or similar.
• Extensive experience with containerization and orchestration tools, such as Docker and Kubernetes.
• Strong experience with cloud platforms (AWS, Azure, GCP) and implementing DevOps solutions in cloud-native environments.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform, Ansible, Chef, or Puppet.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, Splunk, or the ELK Stack.
• Strong knowledge of scripting and programming languages like Python, Bash, Ruby, or Go.
• Understanding of security principles and best practices in DevOps (e.g., DevSecOps).
• Proven ability to lead teams in a collaborative, cross-functional environment and mentor junior engineers.
• Ability to address complex system integration challenges and find innovative solutions.
• Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Experience with microservices architecture and serverless computing.
• Knowledge of cloud-native application design and deployment.
• Familiarity with Agile and Scrum methodologies.
• Exposure to AI/ML integration within DevOps pipelines.
• Certifications: Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Microsoft Certified: Azure DevOps Engineer Expert are preferred.