Application Administrator Job in Mumbai at Kyndryl India Pvt. Ltd.

Kyndryl is hiring for the role of Application Administrator!

Responsibilities of the Candidate :

• You'll conduct thorough needs assessments, uncovering the requirements for new applications or upgrades to existing ones, and document these specifications with utmost precision using cutting-edge Business Analysis (BA) methodologies.
• Whether it's crafting comprehensive use cases, tracing requirements meticulously, or visualizing process flows, your attention to detail will be unmatched.
• Drawing upon your exceptional analytical prowess, you'll gather requirements from stakeholders and masterfully translate them into functional and nonfunctional specifications.
• As the driving force behind our customers' application modernization endeavors, you'll guide them through every step of the process, ensuring their systems are future-proofed and optimized for success

Requirements :

• 2 years of experience working with the ELK stack, including Elasticsearch, Logstash, and Kibana.
• Proficiency in scripting languages e.g., Python, Bash, and experience with cloud platforms e.g., AWS, Azure.
• Experience in application architecture, middleware and data experience.
• Soft Skills - Strong leadership, communication, and problem solving skills.
• Knowledge of Agile Methods, Service Architecture, and enterprise Cloud Integration, knowledge of file beat, bit Sets and Lucene.
• In depth analysis of mapping ,Indexing, operations, transactions logs, Lucene Indexing, index aliases and cross-index operations, understanding of configurations options, ,mappings and APIs and available settings.
• Strong ability to influence, collaborate and build relationships with key stakeholders, vendors, and cross-functional teams.
• A degree in Computer Science, Information Technology, or a related field is often preferred.
• Conceptual good understanding about Elastic search configuration, API and local gateway, aggregations, search types,, highlighting and other options.,
• Understanding of Search query DSL cluster state recovery, low level replication , low level recovery and shared allocation.In depth understanding of aggregations and nested document relations.
• In depth understanding of performance tuning, more on data flow and memory allocation.
• Good understanding in Hadoop Environment and its eco system and infrastructure.
• Expertise in Tuning and troubleshooting of Elastic search and its stack.