5-7 years of experience with Agile/Scrum methodologies in collaborative settings.
Proven track record in high-performing cross-functional teams managing multiple projects simultaneously.
Experience gathering requirements from stakeholders and translating them into technical solutions autonomously.
Strong commitment to self-directed work, code quality, testing, and documentation.
Ability to manage context-switching between projects and systems adeptly.
Proficiency in DevOps Engineering and CI/CD pipeline management using Jenkins.
Hands-on experience with AWS, Terraform, Docker, and database management.
Responsibilities
Lead the architecture and creation of a secure data ecosystem.
Collaborate with cross-functional teams to enhance data capabilities.
Gather and analyze stakeholder requirements to implement technical solutions.
Manage and optimize CI/CD pipelines and infrastructure as code.
Develop and monitor AWS services to support organizational needs.
Ensure code quality and documentation in team deliverables.
Support data analytics initiatives through enterprise-level data platforms.
Benefits
Opportunity to work with modern data-centric technologies.
Impactful role in shaping and transforming data strategies.
Collaborative and dynamic team environment.
Potential for professional growth and mentorship opportunities.
Access to advanced training and resources in emerging technology solutions.
Full Job Description
Introduction The Sponsor's office is architecting and creating a coherent secure data ecosystem that is compatible and synchronized with the overall Sponsor's data strategy and broader mission capabilities. These solutions and capabilities include a platform to conduct enterprise search, digital forensics, and data analytics. The Sponsor fuses modern, data-centric tradecraft and capabilities with other components in pursuit of extracting maximum value from existing data.
Required Skills and Demonstrated Experience:
Demonstrated experience with Agile/Scrum development methodologies in a fast-paced, collaborative team environment.
Demonstrated experience working effectively in high-performing, cross-functional teams with multiple concurrent projects.
Demonstrated experience working directly with stakeholders to gather requirements, understand needs, and translate them into technical solutions with minimal oversight.
Demonstrated experience in self-directed work with a strong ownership mentality and commitment to code quality, testing, and documentation.
Demonstrated experience context-switching between projects and systems as priorities demand.
DevOps Engineering
Demonstrated experience implementing and managing CI/CD pipelines with Jenkins.
Demonstrated experience with Infrastructure as Code tools; Terraform and CloudFormation
Demonstrated experience with AWS services (to include EC2, S3, RDS, Lambda, VPC, IAM, and CloudWatch).
Demonstrated experience with containerization such as Docker and Podman.
Demonstrated experience with strong scripting proficiency: Bash and Python.
Demonstrated experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning using PostgreSQL and MySQL
Demonstrated experience with monitoring, logging, and alerting systems; Prometheus/Alertmanager and CloudWatch.
Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
Demonstrated experience with networking, security, IAM policies, and AWS architecture best practices.
Demonstrated experience with Git-based workflows, branching strategies, and version control best practices.
Highly Desired Skills and Demonstrated Experience:
DevOps Engineering
Demonstrated experience deploying and managing data platform components: Apache Spark, Trino, Apache Ranger, Apache Iceberg, Apache Superset, or data catalogs.
Demonstrated experience with data lakehouse architectures and supporting infrastructure.
Demonstrated experience with secrets management solutions such as AWS Secrets Manager or Parameter Store.
Demonstrated experience with disaster recovery, backup strategies, and continuity planning
Demonstrated experience or familiarity with API gateways and modern microservices patterns
Demonstrated experience with cost optimization practices in AWS.
Demonstrated experience or background deploying and supporting AI/ML workloads or model serving infrastructure.
Demonstrated experience mentoring team members on DevOps and cloud best practices
Demonstrated experience with NoSQL databases such as DynamoDB or MongoDB, etc
Demonstrated experience with additional monitoring tools such as Grafana or ELK stack
Demonstrated experience with excellent written and verbal communication skills with both technical and non-technical audiences.
US Citizenship:
This position requires US Citizenship. Verification of US Citizenship to meet federal government security requirements will be confirmed.
Security Clearance:
The successful candidate must have an active U.S. Government Top Secret Security Clearance with a Full Scope Polygraph.
Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
Travel:
This position is expected to be onsite. The position will be located within the Washington Metropolitan Area (WMA). Local travel/POV will be on an as needed basis, within the local place of performance.
