Cloud Software Engineer III

Reflexive Concepts; Laurel (MD); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Reflexive Concepts is seeking a Cloud Software Engineer III to join our team and apply data science advances to challenging analytic problems. You will develop operational prototypes for behavioral and geo-temporal analyses in cloud environments, and help push the state of the art in machine learning and statistics for mission problems.

Telework is possible up to two days per week if tasking allows, though not guaranteed.

Qualifications

• 7+ years of combined programming in Java, C++, or Python (within last 10 years).
• 5+ years designing and developing apps in Windows or UNIX/Linux environments.
• 1+ year experience with distributed batch or stream processing (e.g., Spark, Flink, Beam).
• 1+ year experience with distributed storage (S3, Azure, Google Cloud Storage, Hadoop).
• 1+ year experience with object-oriented design and requirements analysis.

Responsibilities

• Develop an evolving suite of cloud-based prototypes for behavioral, geo-temporal, social, and content analysis.
• Support analytics on large-scale data collections in multi-tenant cloud environments.
• Research and advance ML and statistics for mission-oriented problems.

Skills

Python

Java

C++

JavaScript

Angular

React

Docker

Kubernetes

AWS

Linux

Windows

LLMs

Education

Bachelor's degree in Computer Science

Associate's degree in Computer Science with programming

Tools

Apache Spark

Apache Flink

Apache Beam

Databricks

Ray

Accumulo

MongoDB

ScyllaDB

Google Cloud Bigtable

DynamoDB

Azure Cosmos DB

Postgres

Amazon S3

HDFS

Azure Data Lake Storage

Google Cloud Storage

Job description

Reflexive Concepts is seeking a skilled Cloud Software Engineer III to join our team!

Candidate will 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.

Telework: Possible up to two (2) days a week if tasking is available; not guaranteed.

Qualifications

• Active TS/SCI w/ Full Scope Polygraph


• 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 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 Skills

• Experience with Claude Sonnet 4


• Ability to write code with dynamic prompts using OpenAI Chat Completions API