Engineering

Senior ElasticSearch Architect

Pune | Remote
Work Type: Full Time

You will work on:

We help many of our clients make sense of their large investments in data - designing, architecting & building analytics or machine learning applications. You will work on cutting edge cloud native technologies to crunch terabytes of data into meaningful insights.

What you will do (Responsibilities):

  • Collaborate Engineering and Product Management to transform raw data to often actionable and meaningful insights for the enterprise.
  • Lead small dynamic, product-oriented environment to deliver enterprise class products.
  • Design and implement ELK (ElasticSearch, Logstash and Kibana) stack solutions on AWS cloud.
  • Design application for appropriate High Availability and Scalability.
  • Help design policies and procedures to efficiently and securely manage a multi-tenant  multi-node cluster across multiple different stakeholders efficiently.
  • Provide Elastic Search tuning/optimizing based on application needs.
  • Contribute to team mentoring, design discussions with detailed technical information and help develop code with quality, scalability and extensibility.
  • Continuously improve software development practices work across the full stack.


What you bring (Skills):

  • Expert knowledge with the Elasticsearch platform building analytics applications for  high volume, low latency & time-series use cases.
  • Expert in everything Elasticsearch - upgrades, ILM, Tranforms, Rollups, Cluster sizing among others.
  • Expert knowledge in Low-level Java Rest Clients for Elasticsearch.
  • Expertise in memory management, fine tuning & performance engineering of low latency Java & Elasticsearch applications
  • Intricate knowledge of working with Kafka, Redis and Elasticsearch.
  • Good Linux and Kubernetes skills.
  • Ability to multitask and prioritize in a fast paced, team-oriented environment 
  • Strong Analytical and Communication skills.
  • Familiarity with System Architecture on bare metal or in AWS.


Great if you know (Skills):

  • T-shaped skills are always preferred - so if you have the passion to work across the full stack spectrum - it is more than welcome. 
  • Exposure to infrastructure-based skills like Docker, Istio, Kubernetes is a plus
  • Ability to work out the right architectures for Big Data systems using Kafka, Flink, Elasticsearch, Redis or similar technology stack.
  • Collaborate with DevOps and Test Automation teams to build favorable developer experience in both build and CI/CD.


Advantage Cognologix:

  •  A higher degree of autonomy, startup culture & small teams.
  •  Opportunities to become an expert in emerging technologies.
  •  Remote working options for the right maturity level.
  •  Competitive salary & family benefits.
  •  Performance-based career advancement.



About Cognologix:

Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals.

We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern and cloud-native way.

Minimum Experience:
10 years
 
Top Skill:
Elasticsearch, Time-series Analytics
 

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