Mid-Level Cloud Software Engineer

Independent Software•Columbia, MD

About The Position

As a Cloud Software Engineer (CSWE) – Level 2 at Independent Software, you will design, develop, maintain, and enhance complex Big Data cloud systems based on documented requirements. You will contribute across the full software lifecycle, with a focus on back-end processing, data ingestion, analytics, and indexing within distributed cloud environments. In this role, you will apply expertise in cloud computing, distributed systems, and the Hadoop ecosystem to build scalable, high-performance solutions. You will work independently and as part of a team, applying appropriate software development methodologies to ensure reliable, secure, and maintainable cloud-based systems.

Requirements

Experience with cloud computing and distributed systems architectures
Experience with Big Data technologies and Hadoop ecosystem tools (HDFS, MapReduce, HBase, YARN, Zookeeper)
Proficiency in Java and/or Python
Experience with Information Retrieval (IR) technologies (e.g., Elasticsearch, Solr, Lucene)
Experience with data ingestion and processing of large datasets (JSON, XML, CSV, Avro)
Familiarity with DevOps practices, CI/CD pipelines, and version control systems
Experience with technologies such as Elasticsearch, NiFi, Spring Boot, or similar tools
Experience with distributed coordination frameworks and multi-node system management
Experience working in UNIX/Linux environments (e.g., CentOS, RedHat)
Understanding of system performance, scalability, and optimization in distributed environments
Familiarity with security practices, including authentication, PKI, and securing distributed systems
Strong analytical, troubleshooting, and problem-solving skills
Ability to work independently and collaboratively in a fast-paced environment
Must possess an active TS/SCI with appropriate Polygraph to be considered for this role

Responsibilities

Analyze user requirements to derive software design and performance requirements
Design, develop, and maintain Big Data cloud applications and distributed processing systems
Implement data ingestion, parsing, processing, and indexing pipelines
Develop and support MapReduce and distributed analytics workflows
Design solutions using Hadoop ecosystem tools (HDFS, HBase, YARN, Zookeeper)
Develop software using Java, Python, and object-oriented design principles
Integrate distributed file systems, Big Table technologies, and coordination frameworks
Debug, troubleshoot, and resolve software problem reports in distributed environments
Manage and support multi-node cloud and distributed system deployments
Design and implement Information Retrieval (IR) solutions (Elasticsearch, Solr, Lucene)
Provide input to system design, including hardware/software trade-offs, software reuse, and COTS/GOTS integration
Support requirements analysis from system-level architecture to individual components
Review, test, and validate software components and document results
Support system deployment, monitoring, and performance optimization