What are the responsibilities and job description for the Software Engineer - SOLR and FUSION, Linux (Scripting), Python position at Cloudious?
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### Resume Summary
Experienced Software Engineer with hands-on expertise in designing and implementing enterprise search solutions using Apache Solr and Fusion. Skilled in tuning search relevancy, developing robust query pipelines, and managing large-scale data indexing from diverse sources. Proficient in administering and optimizing Solr clusters, performing schema design, and troubleshooting complex search infrastructure issues. Strong background in Linux system administration, automation using shell scripting and Python, and integrating observability into CI/CD pipelines. Demonstrated ability to collaborate with DevOps/SRE teams, ensuring high system availability and performance. Adept at working in fast-paced, finance domain environments with a passion for learning new technologies.
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### Key Skills
- SOLR & Fusion: Search solution design, query relevancy tuning, pipeline optimization, schema design, collection management, SolrCloud configuration, troubleshooting.
- Linux & Scripting: Linux environment setup, Bash/Shell scripting, automation of deployments/monitoring, server performance tuning.
- Python: Automation, data processing, scripting for ETL and monitoring tasks.
- Data Engineering: Bulk and real-time indexing from RDBMS, Hadoop, flat files; ETL pipeline orchestration.
- DevOps & CI/CD: Jenkins, GitLab CI, observability integration, Terraform, Ansible.
- Elasticsearch (Preferred): Architecture understanding, shard management, cluster tuning, query DSL.
- Analytics & ML: Experience with Spark for data processing and leveraging Fusion's ML features.
- Problem Solving: Strong analytical and troubleshooting skills in large-scale, distributed search and data environments.
- Finance Domain Experience: Familiar with finance industry data and compliance requirements.
- Collaboration: Effective communicator, team-oriented, agile development practices.
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Tip: In your work experience, highlight any hands-on projects with SOLR/Fusion, Linux automation, or related search infrastructure. Quantify improvements (e.g., "reduced search latency by 40% through query pipeline optimization") and include collaboration with DevOps or finance domain if possible.