Principal Java Engineer, Elastic
Machine Learning, Elasticsearch
CA$192.5-304.5k
Plus stock program
Open source platform powering search, observability, security, and more
Open for applications
Open source platform powering search, observability, security, and more
1001+ employees
Open for applications
CA$192.5-304.5k
Plus stock program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- You have strong skills in core Java and C++ and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features
- You have a deep technical proficiency in algorithms
- You have professional experience in leading the development of Machine Learning components
- You have shown your ability to understand and work on complex systems
- You demonstrate the ability to build and debug features with a broad impact, running on multiple machines
- You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components
- You have experience communicating with a variety of stakeholders
Desirable
- Experience with the Elastic Stack
- Experience with Python / Go
- Open source experience
What the job involves
- We are on the lookout for a Principal Software Engineer II to join our Elasticsearch - Machine Learning team and help build and maintain the platform and components used for machine learning in Elasticsearch
- On the Java side this will involve maintaining and extending ML support in Elasticsearch, on the C++ side this will involve working on model performance optimizations
- You will help us to build the platform and components that enable customers to gain insight from their data
- This team builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform - making these available for our Search, Observability and Security Solutions
- This work will involve close collaboration with elasticsearch and enterprise search engineers
- Build and maintain Machine Learning and advanced analytical platform components
- Implement scalable, high quality, well-architected code
- Collaborate with other engineering teams within Elastic that build on our platform
- Assist our support engineers and community
- Promote knowledge sharing and collaboration in a distributed team
Application process
- This is a posting for an existing vacancy. We are actively seeking to fill this position with a qualified candidate
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
Share this job
View 90 more jobs at Elastic