Software Engineer SME Lvl

GRAY WOLF SOLUTIONS
SOFTWARE ENGINEER – SME
Active TS/SCI and FS poly required
McLean, VA area


The Sponsor provides data-driven, business analysis to support senior organizational leaders and requires
support specializing in cloud development of relevant processes, tools, and integrated systems to format,
load, analyze, and display large-volume data streams, arriving in a variety of formats.

REQUIRED SKILLS & DEMONSTRATED EXPERIENCE:
• Development, customization, and use of developing applications for analysis.
• Cloud microservices and tools, such as S3, RDSes, and EC2 instances.
• Managing Structured Query Language (SQL) databases within cloud based relational databases;
specifically, populating SQL database (MySQL and Postgres) with new schemas, mapping between
different SQL databases, and streamlining data discovery.
• Implementing and automating Nifi workflows for Extract-Transform-Load processes, as well as custom
Python or Java code when appropriate.
• Creating operating system level scripts to perform ETL operations on SQL databases.
• Version control systems, specifically Git.
• JavaScript, CSS, HTML5, and Flask.
• Containerization like Docker or developing and deploying containerized applications or databases.
• User-centered design principles and practices, web standards, typography and color, and web usability
standards.
• Anaconda, Bash, and Terraform for development purposes.
• Building and maintaining CI/CD pipelines with software such as source control (Git/GitHub),
continuous build/delivery (Jenkins), issue management (Jira), and documentation (Confluence).
• Automated testing and deployment of infrastructure or configurations.
• Administration, provisioning, and use of cloud technologies (i.e. AWS) particularly with application of
data science approaches in the cloud.
• Optimizing connectivity between cloud-based services and on-prem high performance cloud compute
servers.
• Creating and maintaining systems and architectural documentation
• Provisioning and management of cloud compute resources and services, such as AWS, Azure.
• Professional proficiency with the following coding languages: SQL, PL/SQL, Python, Java.

DESIRED SKILLS & DEMONSTRATED EXPERIENCE:
• Demonstrated experience in Computer Science, Computer Engineering, Systems Engineering, or
closely related discipline.
• Organizing and structuring solutions to complex problems.
• Strong coordination and collaboration skills.
• Working in a Sponsor analytic mission area, specifically involving research on analyst user needs.
, GRAY WOLF SOLUTIONS
• Supporting data scientists to create—through fine tuning, transfer learning—models for classification,
prediction, generative AI, or other similar tasks.
• Optimizing the deployment of AI models in the cloud.
• Connecting cloud servers to Tableau to output visualizations.
• Demonstrated experience with the sponsor’s data management lifecycle
• Balancing competing activities and priorities.
• Distributed computation, including experience creating parallel processing solutions.

WORK REQUIREMENTS:
The Contractor shall…
• process through NiFi schemas or custom scripts large datasets into Sponsor's on-premise and Cloud
environments through the development of algorithms and schemas analyzing new data sets to optimize
this ingestion.
• generate metrics to track data ingest statistics to maintain data integrity.
• document the data-flows according to standards set by Sponsor.
• complete all steps in the product-design process from conceptualization, detailed user interface,
functional design, through implementation and usability review.
• develop conceptual models, workflows, design prototypes, and user- interface specifications.
• lead work to optimize cloud-based computing technologies, such as leveraging pyspark, distributed
computation, and model training or inference, and integrate solutions into relevant delivery
mechanisms or partner systems.
• build tools and scripts to monitor, troubleshoot, automate, and deploy Al models and outputs as
part of a variety of existing business analytic platforms.
• be directly responsible for solutions related to the Sponsor's analytic work in these key areas:
availability, latency, performance, efficiency, documentation, change management, monitoring,
security, emergency response, and capacity planning.
• apply, develop and deploy cloud microservices and integration of cloud resources with on prem high
performance computation servers to support the Sponsor's efforts.
• use the Sponsor's knowledge management, version control, coding standards, and delivery platforms.
• champion and manage requirements, builds, upgrades, and fixes within multiple (dev, test, production)
environments.
• assist developers & data scientists with code deployments, particularly providing Cl/CD config.
• use a microservice-based architecture and agile coding for engineering and development activities to
support reliable network performance, modern resource management, and security processes.
• provide engineering services to the Sponsor's data science team to maximize the data scientist's
effectiveness including the preparation of data science compute environments, data engineering, data
modeling, data triage, database support and administration, backend and UX development, product
evaluation, analytical support, operational support, big data analytics scale-out design, and knowledge
management.
• design coherent architectures for platforms that enable the collection, analysis, and visualization of
multiple types of data.

TRAVEL – This position may require travel. Travel could be local or temporary duty (CONUS or OCONUS).