Senior DevSecOps Engineer

Leidos•Gaithersburg, MD

4d•$107,900 - $195,050

About The Position

Leidos is seeking a mission-driven Senior DevSecOps Engineer to support the Chinook Program and its Intelligence Community customer. The role helps provide more than 400 analysts, engineers, and data scientists worldwide with reliable, secure access to cloud-based tools and computing resources used for data processing, analytical solutions, and mission-critical decisions. The engineer administers and maintains Databricks and/or Syntasa platforms across multiple AWS Virtual Private Cloud environments. The work includes managing users, workgroups, compute resources, clusters, permissions, JSON configurations, and AWS infrastructure, while ensuring documentation and configuration controls are maintained. The role also develops Bash and/or Python automation, improves operational reporting and monitoring, applies DevSecOps practices, and supports platform reliability and security. The engineer collaborates with cross-functional Agile teams, participates in Agile ceremonies, and provides technical support to globally distributed users and customer stakeholders. Databricks or Syntasa expertise is not required on day one; hands-on, on-the-job training is provided to build platform-specific skills. The position requires active Top Secret/SCI clearance and the ability to successfully pass a polygraph examination. U.S. citizenship is required by contract.

Requirements

U.S. citizenship is required by contract.
Active Top Secret/SCI clearance and ability to successfully pass a polygraph examination.
Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field with 8–12 years of prior relevant experience, or a master’s degree with 6–10 years of prior relevant experience.
Hands-on experience with HTML, CSS, and REST APIs.
Experience with an object-oriented programming language such as Python (including Pandas, Boto3, PySpark, or MLOps), Java, or C++.
Experience with Amazon RDS, Linux, and Git.
Hands-on experience developing and maintaining Bash and/or Python scripts for automation, system administration, reporting, or operational support.
Experience administering, configuring, maintaining, or troubleshooting commercial off-the-shelf applications or enterprise software platforms.
Experience with AWS, including familiarity with S3, IAM policies, and VPC environments.
Working knowledge of cloud resource administration, user provisioning, access controls, permissions management, and configuration management.
Experience creating, modifying, and validating JSON configuration files and maintaining technical documentation.
Experience identifying and implementing automation to streamline administrative tasks, improve operational efficiency, or support reporting.
Familiarity with Linux operating systems, command-line utilities, shell scripting, and systems troubleshooting.
Experience using version control tools such as Git and following configuration-management and change-control processes.
Understanding of DevSecOps principles, secure system administration, and software or infrastructure lifecycle management.
Experience working in an Agile/Scrum environment and collaborating with cross-functional teams to deliver technical solutions.
Strong analytical, troubleshooting, and problem-solving skills for investigating complex platform and configuration issues.
Strong written and verbal communication skills, including technical documentation and collaboration with geographically distributed users and customer stakeholders.
Ability and willingness to learn Databricks and/or Syntasa administration through structured on-the-job training.
Ability to work independently, manage competing priorities, and provide reliable support in a fast-paced, mission-focused environment.
Must hold or be willing to obtain within six months Security+ CE or higher DoD 8570/8140 certification, required for privileged administrator access.

Nice To Haves

Experience supporting cloud-based applications or enterprise platforms within the Intelligence Community or Department of Defense.
Hands-on Databricks administration experience, including workspace management, user and group permissions, compute pools, clusters, and platform configurations.
Experience administering Syntasa or comparable enterprise data analytics and data science platforms.
Experience supporting multiple AWS VPC environments, isolated cloud deployments, or multi-environment platform architectures.
Experience configuring and maintaining AWS IAM roles and policies, S3 bucket permissions, and secure cloud resource access.
Experience developing Python or Bash automation for user provisioning, configuration updates, resource management, or operational reporting.
Familiarity with Databricks REST APIs, CLI tools, and JSON-based configuration management.
Experience collecting, analyzing, and reporting service metrics, system health indicators, resource utilization, and operational performance.
Experience using AWS CloudWatch, CloudTrail, or comparable monitoring and logging solutions.
Familiarity with infrastructure-as-code and automation tools such as Terraform, AWS CloudFormation, or Ansible.
Experience supporting Linux-based systems and troubleshooting cloud-hosted applications.
Experience with GitLab, CI/CD pipelines, automated deployments, and configuration-management workflows.
Understanding of cloud security principles, least-privilege access, audit logging, and secure configuration practices.
Experience supporting large, geographically distributed user communities, particularly data scientists, analysts, or technical researchers.
Experience developing SOPs, configuration baselines, operational dashboards, and technical support documentation.
Familiarity with Agile delivery tools such as Jira and collaboration in customer-controlled technical environments.

Responsibilities

Administer, configure, and maintain Databricks and/or Syntasa across multiple AWS VPC deployments serving more than 400 users and data scientists.
Manage platform resources, including users, workgroups, compute pools, clusters, permissions, and JSON configurations, with proper documentation and configuration control.
Configure and maintain AWS resources, including S3 buckets, IAM roles and policies, and associated cloud infrastructure.
Troubleshoot platform, user-access, and resource issues; maintain configuration baselines, SOPs, and system documentation.
Develop and maintain Bash and/or Python scripts for platform administration, configuration management, operational reporting, and repetitive-task automation.
Identify and implement automation opportunities to improve administrative efficiency, platform reliability, and service delivery.
Develop tools to collect service metrics, monitor resource utilization, and report performance.
Apply DevSecOps best practices, secure configuration management, version control, and change control across cloud environments.
Collaborate with cross-functional Agile teams to prioritize enhancements, resolve technical issues, and support platform improvements.
Participate in Agile ceremonies, including sprint planning, daily standups, backlog refinement, sprint reviews, and retrospectives.
Provide technical support to a globally distributed community of users and data scientists, coordinating with customer stakeholders on operational needs.
Develop specialized expertise in Databricks, Syntasa, AWS services, and customer-specific administration processes through on-the-job training.