Cloud Software Engineer 3 (Potential Telework)

Wyetech LLC
Laurel, MD, United States
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$182,582.0 - $259,667.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Microsoft Windows Apache Accumulo Application Programming Interfaces (APIs) Amazon Web Services Amazon S3 Apache HTTP Server Microsoft Azure Bash Shell BigTable C++ (Programming Language)
+45 more
Cloud Computing Cloud Storage Computer Programming Databases Distributed File Systems Amazon DynamoDB Design of User Interfaces Hadoop Distributed File System Python (Programming Language) PostgreSQL Linux System Administration Machine Learning Metadata Repositories MongoDB Neo4j NumPy Operational Data Store Red Hat Enterprise Linux Cloud Services Azure Data Lake Software Configuration Management SQL Databases Web Services Google Cloud Pytorch ReactJS Large Language Models Apache Spark Software Application Programming Parallel Computation Keras Pandas Matplotlib AngularJS Scikit Learn Kubernetes Information Technology Apache Flink Cosmos DB Machine Learning Operations Spacy Stream Processing Apache Beam Docker Databricks

Job description

  • 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

Requirements

  • 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

Benefits & conditions

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.

Additional benefits include:

  • 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.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:

  • 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

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.

$87.78 - $124.84 an hour

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.

About the company

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).

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