About the Role

We are seeking a highly skilled and experienced Senior Python & Elasticsearch Engineer to join our team in Bengaluru. This hybrid role requires a strong foundation in Python, Elasticsearch, and related technologies, with a focus on developing custom search and analytics applications. You will be instrumental in designing, developing, and maintaining robust search solutions and RESTful APIs.

Responsibilities

• Develop and maintain custom search and analytics applications using FastAPI and Elasticsearch.
• Ingest and index data from diverse sources, including big data systems like Databricks and Snowflake.
• Query data from Elasticsearch and create efficient REST APIs.
• Utilize Java and Spring Boot for building enterprise-grade microservices.
• Develop, secure, and maintain RESTful APIs using Java/Spring Boot, adhering to API design best practices.
• Integrate Java-based services with Elasticsearch and other backend systems.
• Implement AI/ML use cases on Elasticsearch.
• Optimize Elasticsearch performance through query analysis, indexing tuning, caching, and JVM heap size management.
• Create reusable libraries for index templates, custom analyzers, and scripts.
• Collaborate with data engineers to build efficient data pipelines and ETL jobs.
• Guide application developers on complex search, filtering, aggregation, and query optimization.
• Research and prototype new Elasticsearch features, including AI-based relevance tuning and graph capabilities.
• Leverage Microsoft Azure cloud technologies.
• Anticipate and resolve technical challenges, guiding the team effectively.
• Apply knowledge of the software development lifecycle, DevOps practices (CI/CD), and standard methodologies.
• Utilize source control management systems (Git, Bitbucket) and package management tools (Jfrog), ensuring secure coding practices and compliance.

Qualifications

• Strong fundamentals in Python, Elasticsearch, FastAPI, and Python scripting.
• High degree of proficiency in custom search and analytics application development.
• Extensive experience indexing data from various sources, including big data systems.
• Good hands-on experience querying Elasticsearch and creating REST APIs.
• Working knowledge of Java and Spring Boot.
• Experience developing, securing, and maintaining RESTful APIs.
• Understanding of API design principles.
• Experience implementing AI/ML use cases on Elasticsearch.
• Proven experience in tuning Elasticsearch performance.
• Experience in Cloud technologies, primarily Microsoft Azure.
• Knowledge of software development lifecycle and DevOps.
• Experience with source control management systems and package management.
• Knowledge of secure coding practices, compliance, open source technologies, and licensing.