Senior Engineer - Data Solutions

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Data-Engineering, Big-Data-Engineering, Kafka-Solutions, Elasticsearch-Solutions, Platform-Engineering, Senior-Data-Engineering, Senior-Data-Management-Engineer, Senior-Cloud-Data-Engineer, Data-Platform-Engineer, Senior-Solutions-Engineer, Senior-DataOps-Engineer
Tech
elasticsearchkafkakubernetes
Source
himalayas
First observed
2026-08-22 16:00 UTC
Last seen
2026-08-22 16:00 UTC
Source claims posted
2026-08-22 15:36 UTC
Consecutive misses
1 of 10

What the posting says

Responsibilities:

Prepare for projects, discussing the goals and expectations with the customer and building specifications

Researching best practices or components required for projects

Technical delivery of Elastic and Kafka solutions using Kubernetes based deployment models.

Solution design, development, and integration of Elastic & Kafka products and APIs, platform architecture, and capacity planning in mission-critical environments

Monitor, upgrade, patch and support Elastic & Kafka deployments.

Track tickets in support desk and project tasks in project boards.

Build strong relationships with customers.

Writing or editing documentation and knowledge bases

Data modeling, query development and optimization, cluster tuning and scaling

Solving customers data challenges

Engineering our solutions for automation using helm

Engaging with our Sales and Pre-Sales teams to assist with solution scoping and identifying technical risks or concerns

Honing your skills by completing certifications on our product stacks.

Comfortable working remotely in a highly distributed team

Requirements:

Hands-on experience and an understanding of Elasticsearch and/or Lucene OR Apache Kafka. Having both would be a bonus.

Experience building and operating in-production Big Data, stream processing, observability and/or enterprise data integration solutions

Minimum of 2 years experience as a Software Engineer, System Administrator, or DevOps Engineer

Knowledge of information retrieval and/or analytics domain

An understanding of deploying enterprise systems in a containerised environment, preferably Kubernetes.

Experience operating Linux

Hands-on experience with large distributed systems from an architecture and engineering perspective

Good communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions

Excel at working directly with customers to gather, prioritize, plan and execute solutions to customer business requirements as it relates to our technologies

Understanding and passion for open-source technology

Experience helping customers build Apache Kafka solutions alongside relational and NoSQL databases, message queues, and related products

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #273226 2026-08-22 16:00 UTC
    Published
  2. o
    #275507 2026-08-22 16:21 UTC
    Not seen
    Miss 1 in a row