Engineering Manager, Elastic
Search Management - Elasticsearch
CA$128.3-203k
Salary benchmarked on CAD rates and may differ on location + Equity
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$128.3-203k
Salary benchmarked on CAD rates and may differ on location + Equity
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Experience leading distributed teams of software engineers
- Ability to work in a distributed team throughout the world
- Strong communication skills, both verbal and written, with the ability to drive conversations across multiple teams to a conclusion
- Previous experience working with collaborators outside of Engineering
- You know and care about writing performant software and have traced and fixed performance issues yourself
- Ability to work in a fast-paced environment
- Ability to work independently
Desirable
- Significant experience as a hands-on software engineer so you understand the core principles of the engineering work that is going on in your team
- Experience working in Lucene or Solr
- Open Source experience
- Prior professional exposure to Elasticsearch
- Hands-on experience with Docker and Kubernetes
What the job involves
- This is an experienced team lead role where you will be working with the team that delivers these search-focused enhancements to the Elasticsearch platform
- The goal of this team is to build a high quality, fast, and relevant foundation for search within Elasticsearch
- You will participate in roadmap and project planning efforts and will have ownership for delivering it
- You’ll be participating in project management efforts as the teams complete plans together with the Tech Lead and Product Manager
- Manage, mentor and lead a globally distributed team of Java engineers working on search functionality within Elasticsearch
- Lead the efficient delivery of search enhancements with regular releases of Elasticsearch, ensuring high quality and innovative feature development
- Work with our product managers to define requirements
- Foster a culture of mutual respect, collaboration and consensus-based decision-making
- Stay true to the principles of software development as adopted by our team
- Build roadmaps and lead prioritization; balance the right amount of structure and planning for a fast-paced engineering team
- Identify resource requirements and help drive recruitment of high quality colleagues
- Support the development and training of direct reports through regular 1:1s and career conversations
- Be a great person to work with, somebody who sincerely empathizes with others
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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