Enterprise - Cloud Software Engineer - Python, Java, AWS

Erias Ventures•Laurel, MD

7d•Hybrid

About The Position

We are seeking a Cloud Software Engineer who shall leverage 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. This positions may allow for partial telework.

Requirements

A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
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.
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
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

Nice To Haves

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

Responsibilities

Leverage 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.

Benefits

Above Market Hourly Pay
11% Roth or Traditional 401k with Immediate Vesting and Deposit
Spot Bonuses for Assisting with Business Development and Company Growth
Professional Development Bonuses for Certificates and Degrees
Company subsidized Medical Coverage
100% Company Paid Vision and Dental Coverage
100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
Monthly Wellness Reimbursement
Paid Time Off with Flexible Work Schedules and Birthday Off
Amazon Prime Membership and Monthly Internet Reimbursement
Technology and Productivity Allowance for Equipment and Supplies
Morale Building and Company Events to Celebrate our Successes and Build our Community
Onboarding and Annual Swag
Company Paid Professional Development and Training
Referral bonus of up to $10,000 for each successful hire.