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
- 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
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#273226 2026-08-22 16:00 UTCPublished
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#275507 2026-08-22 16:21 UTCNot seenMiss 1 in a row