Java Developer, Elastic
AutoOps Services - Platform Applications
CA$106.9-156.9k
+ Elastic's stock program
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
CA$106.9-156.9k
+ Elastic's 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
- 3+ years experience in Java programming language
- Knowledge in system design and architecture
- Experience with designing and implementing RESTful services
- Familiarity with the ELK stack (Elasticsearch, Logstash, Kibana)
- Experience with operational investigations, resolving stability issues and have the ability to troubleshoot performance and concurrency issues
- Willingness to dive into new issues and ask for help when you need it
- Basic knowledge in any relational database with a preference to Postgres
- A proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes
- The ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
- Work autonomously, drive decisions and result in a distributed team by leveraging asynchronous, direct, and transparent communication
What the job involves
- As a member of the AutoOps Backend team, you will play key roles in developing features and designing systems. You will work with skilled professionals to influence the product's growth. You will also help define how our customers interact with their data
- Write clean, maintainable Java code while adhering to industry best practices. Participate in code reviews to uphold quality standards and troubleshoot issues within existing software solutions
- Integrate third-party APIs and conduct unit and integration testing to ensure reliability. Develop and implement the necessary business and infrastructure logic for the ELK stack
- Implement RESTful services to enable effective system communication. Ensure data consistency and integrity throughout the integration process. Troubleshoot and resolve integration-related issues
- Work closely with cross-functional teams to define integration requirements and develop strategies for integrating the ELK stack with various data sources
- Tackling difficult issues, including performance or concurrency issues, and proposing solutions
- Leverage AI tools as an integral part of your daily workflow to improve productivity, accelerate problem solving, and deliver high quality results while applying sound engineering judgment
- Owning operational investigations end-to-end, until performance or stability issues are successfully resolved
- Supporting our support engineers with the harder problems
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.
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