DevOps / Cloud Architect – Systems Engineer

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Leidos

10,000+ employees

Founded 1969

🔒 Cybersecurity

🔬 Science

Defense • Cybersecurity • Science

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• Lead cloud architecture, infrastructure, automation, and DevOps activities. • Design and maintain CI/CD pipelines and deployment processes. • Support cloud-based analytics and data management environments. • Develop infrastructure-as-code and automation solutions. • Support monitoring, performance optimization, security, and operational readiness. • Assist with modernization initiatives and phased migration activities. • Collaborate with engineering, analytics, governance, and operations teams.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or related discipline. • 8+ years of experience supporting cloud architecture, DevOps, infrastructure engineering, or systems engineering. • Experience with Azure cloud environments and DevOps practices. • Experience supporting CI/CD, automation, and deployment pipelines. • Strong troubleshooting and systems engineering skills. • Ability to obtain/maintain a Public Trust Security Clearance. • Experience supporting CDC, HHS, or public health analytics environments (preferred). • Experience with EDAV (Databricks, Azure Data Factory, Delta Lake, R Studio, PowerBI, Tableau), 1CDP (Palantir Foundry), Azure SQL, Azure DevOps, or similar platforms (preferred). • Experience supporting migration from SAS to other analytics solutions (e.g., R, Python, Databricks, Palantir Foundry) (preferred). • Experience supporting modernization, migration, and cloud adoption initiatives (preferred). • Experience with Kubernetes, GitHub, Azure DevOps, and infrastructure-as-code technologies (preferred). • Azure Solutions Architect Expert (AZ-305), Azure DevOps Engineer Expert (AZ-400), Azure Data Engineer Associate (DP-203), or equivalent certifications (preferred).

🏖️ Benefits

• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement

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