The Role
Design and implement large-scale content and metadata systems and analytics. Develop operational ML prototypes, web UIs and REST APIs, and scalable algorithms for petabyte-scale data. Build, test, and deploy cloud-native solutions using containers, Kubernetes, distributed processing, and object storage while supporting MLOps and LLM integrations.
Summary Generated by Built In
At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
Leveraging advances in data science to support challenging analytic problems including information overload, discovery, attribution, tracking, and assessment. Develop an evolving suite of operational prototypes driven by state-of-the-art data science techniques for behavioral, geo-temporal, social, and content analysis against full-scale collection in robust, flexible, and multi-tenant cloud environments. Research to advance the science of machine learning and statistics in mission problems.
Telework: Possible up to 2 days a week if tasking is available. Not guaranteed.
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Capabilities
- Design, implement and test new features and capabilities for Apache/Accumulo needed to support large content and metadata repositories.
- Conducting Apache/Accumulo training sessions, which include hands-on software configuration and programming exercises.
- Developing web-based user interfaces to support search and presentation of operational data and developing web services that provide REST-based APIs to the content and metadata
repositories. - Developing algorithms to operate on large volumes of operational metadata. This work will investigate advanced parallel programming techniques for implementing analytics that can
effectively run on petabyte-scale operational data set in a secure manner. The mission relevant
analytics will be designed, implemented, tested for deployment in the content and metadata
repositories
Required Qualifications
- TS/SCI with agency appropriate poly
- Within the last ten (10) years, a minimum of seven (7) years experience combined programming with all of the following languages: Java, C++, or Python
- Within the last seven (7) years, a minimum of five (5) years experience designing and developing applications in a Windows or UNIX/Linux operating environment
- Within the last three (3) years, a minimum of one (1) year of experience using database technologies such as Apache Accumulo, MongoDB, ScyllaDB, Google Cloud Bigtable, Amazon DynamoDB, Azure Cosmos DB, Postgres, or equivalent technologies.
- Within the last three (3) years, a minimum of one (1) year of experience using distributed batch- or stream-processing solutions such as Ray, Apache Spark, Apache Flink, Apache Beam, Databricks, cloud-native data-processing services, or equivalent technologies.
- Within the last three (3) years, a minimum of one (1) year of experience using distributed file or object storage systems such as HDFS, Amazon S3, Azure Data Lake Storage, Google Cloud Storage, or equivalent technologies.
- Within the last three (3) years, a minimum of one (1) year experience with requirements analysis and design for one (1) or more object-oriented systems
- Within the past two (2) years, six (6) months development experience with Kubernetes, Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Computing Services
- A bachelor's degree in computer science or related discipline; an associate's degree in computer science or related discipline and two (2) years programming experience or five (5) years programming experience may be substituted for a bachelor's degree
Required Technical Skills
- Minimum 1 year hands-on MLOps experience, including fine-tuning and operationalizing small ML models
- Python
- Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Pytorch, Keras, spaCy, GLiNER)
- Java
- JavaScript
- Angular
- React
- Docker
- Kubernetes
- AWS
- Bash
- Databases – Postgres, neo4j, click-house, accumulo, mongo-db, sql-lite, duckDB
- Operating Systems – Linux (RHEL 8), Windows
- Experience working with LLMs
Desired Technical Skills
- Experience with Claude Sonnet 4
- Ability to write code with dynamic prompts using OpenAI Chat Completions API
The Benefits Package
- Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.
- Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
- A Choice of Medical Plan Options, some with Health Savings Account (HSA)
- Vision and Dental
- Life and AD&D Benefits
- Short and Long-Term Disability
- Hospital Indemnity, Accident, and Critical Illness Insurances
- Optional Identity Theft and Legal Protection Services
Additional benefits include:
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
Company Environment & Perks
- Employee Referral Bonus Eligibility up to $10,000
- Mobility Among Wyetech-supported Contracts
- Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
- Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
- Employees receive two complementary branded clothing orders annually.
Wyetech, LLC 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.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected]. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
Skills Required
- Active TS/SCI security clearance with agency-appropriate polygraph
- Minimum seven (7) years programming experience within last ten years using Java, C++, or Python (combined)
- Minimum five (5) years designing and developing applications in Windows or UNIX/Linux environments within the last seven years
- Minimum one (1) year experience (within last three years) using database technologies such as Apache Accumulo, MongoDB, ScyllaDB, Google Cloud Bigtable, Amazon DynamoDB, Azure Cosmos DB, Postgres, or equivalent
- Minimum one (1) year experience (within last three years) using distributed batch- or stream-processing solutions such as Ray, Apache Spark, Apache Flink, Apache Beam, Databricks, or equivalent
- Minimum one (1) year experience (within last three years) using distributed file or object storage systems such as HDFS, Amazon S3, Azure Data Lake Storage, Google Cloud Storage, or equivalent
- Minimum one (1) year experience (within last three years) with requirements analysis and design for one or more object-oriented systems
- Six (6) months development experience within past two years with Kubernetes, AWS, Microsoft Azure, or Google Cloud Platform
- Bachelor's degree in computer science or related discipline (or associate's degree plus two years programming experience, or five years programming experience may substitute)
- Minimum one (1) year hands-on MLOps experience, including fine-tuning and operationalizing small ML models
- Proficiency in Python and Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, PyTorch, Keras, spaCy, GLiNER)
- Proficiency in Java
- Proficiency in JavaScript and experience with Angular and React
- Experience with Docker and Kubernetes
- Experience with AWS
- Experience with Bash
- Experience with databases: Postgres, neo4j, ClickHouse, Accumulo, MongoDB, SQLite, DuckDB
- Operating system experience: Linux (RHEL 8) and Windows
- Experience working with large language models (LLMs)
- Experience designing, implementing, testing Apache/Accumulo features and conducting Accumulo training
- Experience developing web-based user interfaces and REST-based web services for operational data
- Experience developing scalable analytics algorithms for petabyte-scale operational metadata
- Experience with distributed processing and parallel programming techniques for large-scale analytics
- Experience developing and deploying mission-relevant analytics in secure, multi-tenant cloud environments
- Experience with Databricks
- Experience with cloud-native data-processing services
- Experience with HDFS and/or cloud object storage (Amazon S3, Azure Data Lake Storage, Google Cloud Storage)
- Experience with distributed databases and metadata repositories
- Ability to conduct hands-on software configuration and programming training
- Experience building operational prototypes driven by state-of-the-art data science techniques
- Experience with GLiNER
- Experience with ClickHouse
- Experience with neo4j
- Experience with SQLite and DuckDB
- Experience with ScyllaDB
- Experience with Google Cloud Bigtable
- Experience with Azure Cosmos DB
- Experience with Amazon DynamoDB
- Experience with Apache Spark
- Experience with Apache Flink
- Experience with Apache Beam
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Wyetech offers quality engineering services in the fields of Software Engineering, Systems Engineering, Cloud Engineering, Data Analysis, and Cyber Security to federal and commercial customers. Wyetech has qualified employees in a broad spectrum of engineering disciplines; however, it is our quality that sets us apart from the rest. Candidates are internal referrals and are thoroughly scrutinized. The result of this has been tremendous, our customers recognize the level of quality and professionalism that Wyetech staff offer. Wyetech is always seeking new quality engineering talent. Please refer to our website for inquries and applications.
