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We are seeking an experienced ELK Stack & APM Engineer to design, implement, and maintain our logging, monitoring, and application performance management infrastructure. The ideal candidate will have deep expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) and Application Performance Monitoring (APM).

Key Responsibilities

• Design, deploy, and maintain production-grade Elasticsearch clusters, ensuring high availability, performance, and scalability
• Implement and optimize log ingestion pipelines using Logstash and Beats
• Create and maintain Kibana dashboards, visualizations, and alerts for operational intelligence
• Configure and manage APM servers to monitor application performance metrics
• Develop and maintain data retention policies and implement data lifecycle management
• Troubleshoot performance issues and optimize cluster resources
• Implement security best practices and access controls across the ELK stack
• Automate deployment and configuration management using Infrastructure as Code
• Provide technical guidance and support to development teams for log integration
• Conduct capacity planning and resource optimization

Required Qualifications

• 2+ years of experience with Elasticsearch, including cluster management and optimization
• Strong knowledge of Logstash configuration, pipeline development, and data transformation
• Expertise in creating Kibana visualizations, dashboards, and implementing alerting
• Experience with APM implementation and troubleshooting
• Proficiency in one or more scripting languages (Python, Ruby, Bash)
• Strong understanding of logging architectures and best practices
• Familiarity with monitoring tools and observability practices

Job Title: ELK Stack Engineer

Position Overview:

We are seeking a skilled and experienced Senior Elasticsearch Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines using the ELK Stack (Elasticsearch 7.1 or higher, Logstash, Kibana). The Senior Elasticsearch Developer will play a key role in managing large datasets, optimizing complex queries, and maintaining self-hosted Elastic Search clusters.

Responsibilities:

• Design, develop, and maintain data pipelines using the ELK Stack.
• Handle large datasets (3 billion+ records, 100+ fields per index) with efficiency and accuracy.
• Develop and optimize complex Elasticsearch queries for efficient data retrieval and analysis.
• Manage and maintain self-hosted Elastic Search clusters.
• Implement DevOps practices, including containerization with Docker.
• Perform backups, disaster recovery, and index migrations to ensure data security and integrity.
• Execute data processing and cleaning techniques, including writing custom scripts to extract and transform data into usable formats.
• Collaborate with the engineering team to integrate Elastic Search with other systems.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Minimum 5+ years of experience in designing, developing, and maintaining data pipelines using the ELK Stack.
• Hands-on experience handling large datasets (3 million+ records, 50+ fields per index).
• Strong proficiency in developing and optimizing complex Elasticsearch queries.
• Experience managing and maintaining self-hosted ElasticSearch clusters.
• Proficiency in DevOps practices, including containerization with Docker.
• Knowledge of security best practices, including backups, disaster recovery, and index migrations.
• Experience with database administration and data processing techniques.
• Excellent communication and teamwork skills.

Benefits:

• Competitive salary and benefits package between 20 to 35 LPA.
• Opportunities for professional development and growth.
• Collaborative and inclusive work environment.
• Flexible work hours and remote work options.

• Understand fundamental design principles and best practices for developing backend servers and web applications  Gather requirements, scope functionality, estimate and translate those requirements into solutions.  
• Implement and integrate software features as per requirements. 
•  Deliver across the entire app life cycle.
•   Work in a product creation project and/or technology project with implementation or integration responsibilities, Improve an existing code base, if required, and ability to read source code to understand data flow and origin
• Design effective data storage for the task at hand and know how to optimize query performance along the way.  
• Follow an agile methodology of development and delivery  
• Strictly adhere to coding standards and internal practices; must be able to conduct review code  Mentor and possibly lead junior developers  
• Contribute towards innovation  Performance optimization of apps 
•  Explain technologies and solutions to technical and non-technical stakeholders  
• Diagnose bugs and other issues in products  
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Must have / Good to have:

• 4+ years experience with Core Python development  Design and implementation of high-availability, and performant applications on Unix environment  
• Good with multithreading and data structures  
• Develop back-end components to improve responsiveness and overall performance  
• Familiarity with database design, integration wiht applications and python packaging.  Familiarity with front-end technologies (like JavaScript and HTML5), REST API, security considerations  
• Familiarity with functional testing and deployment automation frameworks  
• Experience in development for 3-4 production ready application using Python as programming language  
• Experience in writing unit test cases including positive and negative test cases 
•  Experience of CI/CD pipeline code deployment (Git, SVN, Jenkins or Teamcity) 
•  Experience with Agile and DevOps methodology 
•  Very good problem-solving skills  
• Experience with Web technologies is a plus  
• Experience with ELK stack is a plus.