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 supporting mission-critical operations. 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 collaborative team, contributing to system design, implementing advanced data processing workflows, and ensuring reliable and secure cloud-based operations.

Requirements

Strong experience with cloud computing and distributed systems architectures
Experience with Big Data technologies and Hadoop ecosystem tools (e.g., HDFS, MapReduce, HBase, YARN, Zookeeper)
Proficiency in programming languages such as Java and Python
Experience with Information Retrieval (IR) concepts and technologies (e.g., Elasticsearch, Apache Solr, Lucene)
Experience with data ingestion, parsing, and processing of large and diverse data sets (e.g., JSON, XML, CSV, Avro)
Experience with DevOps tools and practices, CI/CD pipelines, and version control systems
Familiarity with technologies such as Elasticsearch, NiFi, Spring Boot, and Angular
Experience with distributed coordination frameworks and multi-node system management
Knowledge of cloud-based storage, Big Table implementations, and distributed file systems
Experience with 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 as part of a team in a fast-paced environment
Bachelor’s degree in Computer Science or a related discipline from an accredited college or university is required
Four (4) additional years of cloud software engineering experience may be substituted for a bachelor’s degree
Master’s degree in Computer Science or related discipline may be substituted for two (2) years of experience
Minimum of eight (8) years of software engineering experience on programs and contracts of similar scope, type, and complexity is required
Minimum of two (2) years of experience supporting Big Data cloud technologies and/or distributed computing environments is required
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 for cloud-based systems
Design, develop, and maintain Big Data cloud applications and distributed processing systems
Implement and support data ingestion, parsing, processing, and indexing pipelines
Develop and implement MapReduce and distributed analytics workflows
Design and implement solutions using Hadoop ecosystem technologies (e.g., HDFS, HBase, YARN, Zookeeper)
Develop software using Java, Python, and related object-oriented programming languages
Integrate cloud-based distributed file systems, Big Table technologies, and coordination frameworks
Debug and resolve issues within distributed cloud computing frameworks
Manage and support multi-node cloud and distributed system deployments
Design and implement Information Retrieval (IR) solutions for large-scale data processing
Collaborate with system engineers and stakeholders to define system capabilities and performance requirements
Provide input to system design, including hardware/software trade-offs and COTS/GOTS integration
Develop, test, and validate software components and document results
Recommend and implement improvements to software development processes and documentation standards
Serve as a technical lead or subject matter expert for cloud computing technologies when appropriate
Ensure quality control across software development efforts and team deliverables
Support cloud system deployment, monitoring, and performance optimization