3 days ago
Chantilly, VA, USASenior
Base Salary
$150k - $250k/yr
Responsibilities
- Design and operate cloud-native architectures and large-scale big data systems for data correlation, aggregation, graphing, persistence, partitioning, and indexing.
- Build and optimize graph databases and graph traversal capabilities using DynamoDB, Apache Gremlin, Apache Cassandra, TinkerPop, JanusGraph, and related technologies.
- Develop high-performance data processing pipelines using AWS Lambda, Step Functions, PySpark, and MLOps workflows.
- Design and operate serverless geospatial indexes with GeoMESA and implement partitioning, sharding, sorting, aggregation, deduplication, stream processing, and metrics gathering.
- Develop and maintain NoSQL, relational database, object-storage, search, and data governance solutions for structured, semi-structured, and unstructured data.
- Develop user interfaces and experiences using React and WebGL.
- Develop and operate Kubernetes-based infrastructure and maintain software configuration using GitHub and related tools.
- Perform technical analysis and develop implementation strategies for large-scale graph database search optimization.
- Facilitate engineering discussions across teams and support delivery of communications and geospatial data capabilities.
- Implement DevSecOps, security controls, encryption, access auditing, compliance requirements, and security accreditation documentation.
Requirements
- Active TS/SCI clearance with polygraph applicable to the customer.
- Demonstrated experience designing cloud-native architectures using AWS, Google, IBM, and Oracle cloud services.
- Demonstrated experience designing and operating large-scale big data systems, including systems spanning trillions of records or events.
- Experience building and optimizing graph databases, graph traversal capabilities, NoSQL solutions, data models, partitioning, sharding, aggregation workflows, and stream processing.
- Experience with Lambda, Step Functions, PySpark, GeoMESA, React, WebGL, Kubernetes, and MLOps pipelines.
- Experience with relational databases, NoSQL databases, object storage, data processing pipelines, security controls, encryption, auditing, and data governance.
- Experience with Apache Gremlin, TinkerPop, JanusGraph, Cassandra, DynamoDB, Postgres, MariaDB, ELK, Minio, Amazon S3, Neo4j, and MongoDB.
- Experience with C or C++ for writing interfaces and Python with PyPI libraries.
- Experience with CentOS 7, Rocky Linux 8, Docker, Docker Compose, Docker Swarm, VS Code, GitLab, JupyterHub or Jupyter notebooks, and MATLAB.
- Experience implementing DevSecOps and agile development in production environments and supporting federal security, regulatory, compliance, and accreditation requirements.
- Preferred experience includes AWS EMR, AWS ECS, AWS Fargate, AWS Organizations, AWS Service Control Policies, AWS Well-Architected practices, enterprise data catalogs, Policy Decision Points, and multi-tenant cloud environments.
- Preferred certifications include AWS Certified Solutions Architect, AWS Machine Learning Certification, Agile certification, Azure, Security+, GSEC, and CCNA.
- Preferred experience includes IT service management, SLA measurements, customer consultation, technical presentations, systems perspectives, RESTful endpoints, and microservices.
Benefits
- Medical, dental, and vision health coverage.
- Health Savings Account with company contribution.
- Annual paid time off and paid holidays.
- Paid parental leave.
- 401(k) with generous company match.
- Training and development opportunities.
- Award programs and company-sponsored events.
- Work-life balance, family assistance, financial wellness, retirement planning, continued education, and opportunities for professional growth.
- Full-time position in Chantilly, Virginia; the posting does not state a remote or hybrid arrangement.
Tech Stack
Amazon DynamoDBApache CassandraAWSCC++DockerGoogle CloudIBM CloudJupyter NotebookKubernetesMariaDBMATLABMongoDBNeo4jOracle CloudPostgreSQLPythonReact
Categories
BackendData Engineering
About GRVTY
GRVTY builds software, data platforms, and analytics for intelligence, surveillance, reconnaissance, and targeting (ISR&T) missions, serving U.S. defense and intelligence customers. Offerings include GEOINT analytics, deployed analysts, enterprise IT support, and managed software services, including data lake/warehouse applications. The privately held company is headquartered in McLean, Virginia and operates under federal contracts across cyber, space, and spectrum domains.