Mid-Level Cloud Software Engineer
Listed on 2026-05-31
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Software Development
Software Engineer, Cloud Engineer - Software, DevOps
What You Will Do
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, contributing 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, working independently and as part of a team, applying appropriate software development methodologies to ensure reliable, secure, and maintainable cloud‑based systems.
Key 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 Map Reduce 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
Skills and Qualifications
- Experience with cloud computing and distributed systems architectures
- Experience with Big Data technologies and Hadoop ecosystem tools (HDFS, Map Reduce, 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 Dev Ops 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, Red Hat)
- 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
- Bachelor’s degree in Computer Science or a related discipline from an accredited college or university
- Four (4) additional years of cloud software engineering experience may be substituted for a bachelor’s degree
- Master’s degree in a related discipline may be substituted for two (2) years of experience
- Minimum of eight (8) years of software engineering experience on programs of similar scope, type, and complexity
- Minimum of two (2) years of experience supporting Big Data cloud technologies and/or distributed computing environment
- Must possess an active TS/SCI with appropriate Polygraph to be considered for this role
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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