Software Engineer - TS/SCI w/Poly

Software Engineer

Herndon, VA.

The Contractor shall support the advancement of the Sponsor's data analysis environment and data graphing solution with highly technical software development to meet complex and evolving mission needs in an agile development environment. The Contractor shall deliver capabilities in compliance with the Sponsors A&A framework.

The Contractor shall determine how requirements are satisfied in coordination with stakeholders and the Sponsor. The Contractor shall ensure that all developed applications and modifications to existing Sponsor capabilities operate in compliance with applicable security and architecture documents and approval as directed by the Sponsor. All planned activities shall be coordinated with and approved by the Sponsor.

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

· Languages: Python (pypi libraries)

· Operating Systems: Centos7, RockyLinux8

· Orchestration: Kubernetes, Docker, Docker-Compose, Docker-Swarm

· Development Tools: vscode, gitlab, jupyterhub/notebooks, MATLAB

· Environments: large collaboration and development environments

· Data types: Unstructured, structured, or semi-structured data, including: CSV, JSON, JSONL, AVRO, Protocol Buffers, Parquet, etc

DESIRED SKILLS AND DEMONSTRATED EXPERIENCE

Other skills and demonstrated knowledge that are highly desired but not required to perform the work, include:

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:

o AWS Certified Solutions Architect

o AWS Machine Learning Certification(s)

o Agile certification

o Azure

o Security+

o GSEC

o CCN

Vacation – 5 weeks of accrued paid vacation per year (i.e., 8.33 hours accrued per pay period worked)

• Holidays - Paid holidays published annually by the Office of Personnel Management, excluding Inauguration Day

• 100% paid for Health Benefits* (United Healthcare, Guardian Dental, VSP Vision, MetLife, Life and Disability Insurance and annual $1500 employer HSA contribution on qualified plans) *health benefits kick in the 1st of the month following your start date

• 6% 401k Contribution (3% paid out during each pay period, the additional 3% will be paid out as a lump sum in Q1 each year)

• Training Reimbursement – Approved training and education expenses will be reimbursed

• Travel Expenses – Approved travel expenses will be reimbursed *Note – From time to time, the company may change employee benefits.