Principal Software Engineer - Performance Tuning - Elasticsearch
Referral Board · Romania
Posted 29 days ago
or apply directly on Referral Board's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days Referral Board's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Referral Board's roles list one
- Ghost-job risk at Referral Board
- high 57 stale, 2 reposted of 109 open
- Hiring momentum
- 138 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Referral Board's own greenhouse board since 2026-08-03. Full hiring picture for Referral Board.
About this role
The Principal Software Engineer for Performance Tuning at Elasticsearch will lead initiatives focused on optimizing the performance of Elasticsearch across various environments. This role involves developing performance models, driving optimization strategies, profiling system behavior, and mentoring other engineers. The engineer will collaborate with teams to embed performance considerations into new features and automate profiling and benchmarking processes.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Referral Board as an employer.
What you need
- Deep knowledge of Java internals and JVM memory management
- Experience in profiling and optimizing distributed systems
- Solid comprehension of distributed systems architecture
- Proven track record of using AI or advanced tooling for optimization
- Ability to collaborate across functions and teams
- Ability to work autonomously and drive decisions in a distributed team
Nice to have
- Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications
- Deep knowledge of modern storage engine performance, index modes, or vector search optimizations
- Experience defining and managing Performance SLAs and success criteria for distributed systems
- Experience working on the internals of a large-scale data store or search engine
What you get
- Competitive pay based on the work you do
- Health coverage for you and your family in many locations
- Flexible locations and schedules for many roles
- Generous number of vacation days each year
- Financial donation matching up to $2000
- Up to 40 hours each year for volunteer projects
Worth weighing
- No variable compensation component mentioned
- Salary range provided, but specifics on experience and skills affecting final offer are vague
- Role involves significant collaboration, which may require adaptability to different teams and projects
Summarised from Referral Board's posting. Read the full original.
Listed by Referral Board on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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