Cloud Software Engineer 3 (Potential Telework)

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

• 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

• 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

• Experience with Claude Sonnet 4
• Ability to write code with dynamic prompts using OpenAI Chat Completions API

• 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

• 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.

Pay Range: $ 87.78 - $ 124.84 per hour*

Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.