Strong fit for systems software engineers who design and operate large-scale graph databases and cloud-native architectures, with a focus on geospatial and big data processing in the national security domain.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from GRVTY via Greenhouse
What Impact You'll Have
The Sponsor's data analytics and collection services provide intelligence products to inform operations, drive collection, solve Sponsor business problems, and support national security needs. The Sponsor specializes in development and maintenance of large-scale innovative solutions to solve the Sponsor's leading challenges in data correlation, aggregation, and graphing. The contractor shall support the advancement of the Sponsor's solution with highly technical software development to meet complex and evolving mission needs.
What You'll be Owning
GRVTY is seeking a Software Developer (Systems Software) with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.
What You Must Have
Active TS/SCI with Polygraph Clearance
Demonstrated experience with designing cloud-native architectures using cloud services such as AWS, Google, IBM, and Oracle
Demonstrated experience designing and operating big data systems
Demonstrated experience building and optimizing performance of large scale graph databases (tens of billions of edges) using DynamoDB or new enhanced capabilities
Demonstrated experience developing and operating graph traversal capabilities using data graphing tool traversal capabilities built upon Apache Gremlin or new enhanced capabilities
Demonstrated experience developing and operating NoSQL solutions to complex big data applications
Demonstrated experience in data modeling for performance, partition sharding, record/event aggregation workflows, stream processing, and metrics gathering
Demonstrated experience designing and operating large-scale serverless geospatial indexes built with GeoMESA
Demonstrated experience with partition and sort key design and implementation to ensure consistent performance
Demonstrated experience with aggregation operations to de-duplicate records on continuous data feeds
Demonstrated subject matter expertise experience with relational databases to noSQL
Demonstrated experience building and operating high-performance data processing pipelines using Lambda, Step Functions and PySpark
Demonstrated experience building high quality User Interface/User experiences with the React framework and webGL
Demonstrated experience designing and operating large scale graph databases using Apache Cassandra
Demonstrated experience performing in-depth technical analysis of large-scale graph databases to develop implementation strategies for search optimizations
Demonstrated experience developing technical capabilities for processing, persistence and search of datasets that are collected or maintained using standards common in the Sponsor's community
Demonstrated experience facilitating engineering discussions across teams representing multiple stakeholders to develop and execute implementation strategies that meet mission needs
Demonstrated experience developing Machine Learning Operations (MLOps) pipelines for large scale application
Demonstrated experience maintaining configuration of software using configuration management resources such as GitHub
Demonstrated experience designing, building and operating big data systems, such as persistence, partitioning, indexing, at scale of trillions of records/events
Demonstrated experience with Niagara Files (NiFi) applications or new enhanced capabilities
Demonstrated experience developing and operating Kubernetes infrastructure
Demonstrated experience supporting engineering efforts that will contribute to delivery of capabilities such as datasets and functionality such as communications, geospatial workflows
Demonstrated experience implementing DevSecOps and agile development in production environments
Demonstrated experience with agile software development and testing
Demonstrated experience with federal security, regulatory and compliance requirements and security accreditation package development
Demonstrated experience with data security and governance using centralized security controls like LDAP, encrypting the data, and auditing access to the data
Demonstrated experience with specialized technologies that are optimized for the particular use of the data, such as relational databases, a NoSQL database (Cassandra), or object storage
Demonstrated experience with Apache, TINKERPOP, GREMLIN and/or JANUSGRAPH to design, develop, implement and maintain system
Demonstrated knowledge of Graph Database to design, develop, implement and maintain system
Demonstrated experience with C or C++ to write interfaces
Demonstrated experience using centralized security controls like LDAP, encrypting data, and auditing access to data
Demonstrated experience with: Databases: Postgres, MariaDB, ELK, Minio, AWS S3, Neo4j, MongoDB, noSQL
Demonstrated experience with: Languages: Python (pypi libraries)
Demonstrated experience with: Operating Systems: Centos7, RockyLinux8
Demonstrated experience with: Orchestration: Kubernetes, Docker, Docker-Compose, Docker-Swarm
Demonstrated experience with: Development Tools: vscode, gitlab, jupyterhub/notebooks, MATLAB
Demonstrated experience with: Environments: large collaboration and development environments
Demonstrated experience with: Data types: Unstructured, structured, or semi- structured data, including: CSV, JSON, JSONL, AVRO, Protocol Buffers, Parquet, etc
What Would be Nice to Have
Demonstrated experience with designing cloud-native architectures using Sponsors cloud services
Demonstrated experience designing and operating big data systems within the Sponsors policy and regulatory environment
Demonstrated experience developing and operating graph traversal capabilities using the Sponsors data graphing tool traversal capabilities built upon Apache Gremlin
Demonstrated experience building and operating high performance data processing pipelines using Lambda, Step Functions and PySpark on the Sponsors infrastructure with EMR
Demonstrated experience working with the Sponsor's enterprise services used for Data Management, including the enterprise catalog service (and associated APIs), and Policy Decision Points (PDPs).
Demonstrated experience developing Machine Learning Operations (MLOps) pipelines for large scale application in the Sponsor's environment
Demonstrated experience and understanding of IT Service Management and common SLA measurements
Demonstrated experience presenting solutions, requirements, and presentations to diverse audiences.
Demonstrated experience working with container orchestration technologies such as AWS ECS, AWS Fargate, and Kubernetes or other enhanced capabilities available
Demonstrated experience in managing large operational cloud environments spanning multiple tenants using Multi-Account management, AWS Well Architected Best Practices, and AWS Organization Units/Service Control Policies (OU/SCP).
Demonstrated experience with Micro-services such as building decoupled systems, utilizing RESTful endpoints and lightweight systems
Demonstrated experience in total systems perspectives, including a technical understanding of systems and applications relationships, dependencies, and requirements of hardware and software components
Demonstrated experience consulting with customers to determine present and future user needs
Demonstrated experience providing frequent contact with customers, traceability within program documents, and the overall computing environment and architecture
Certifications:
AWS Certified Solutions Architect
AWS Machine Learning Certification(s)
Agile certification
Azure
Security+
GSEC
CCNA
Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
Virginia Pay Range
$150,000 - $250,000
Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
Virginia Pay Range$150,000—$250,000 USDWhy Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
- Award Programs
- Variety of Company Sponsored Events
EEO Statement
GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
Source: GRVTY careers (Greenhouse)