Principal Software Engineer - Performance Tuning - Elasticsearch
Referral Board · United States
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
As a Principal Software Engineer on the Elasticsearch Performance team, you will lead initiatives focused on optimizing the performance of Elasticsearch. Your responsibilities will include developing performance models, driving optimization strategies, profiling system behavior, and collaborating with various teams to embed performance considerations into new features. Additionally, you will mentor other engineers and drive automation efforts to enhance performance testing and benchmarking workflows.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- 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
- Eligible to participate in Elastic's stock program
- Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
- Health coverage for you and your family in many locations
- Flexible locations and schedules for many roles
- Generous number of vacation days each year
- Up to $2000 matching for financial donations and service
Worth weighing
- No specific mention of technology stack beyond Java and distributed systems
- Salary range provided but may vary based on multiple factors
- Role involves significant collaboration and mentoring, which may require strong interpersonal skills
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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