Principal Consulting Architect - Observability/Security - ANZ
Elastic AustraliaEst. Est. AUD 180,000–270,000 / yearLead
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
- Java
- Javascript
- Go
- Aws
- Azure
- Gcp
- Linux
- Machine Learning
- Agile
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
You will have the opportunity to work with tremendous Services, Engineering and Sales teams and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers.
What You Will Be Doing
We are looking for a delivery architect who demonstrates visionary leadership by orchestrating and implementing Elastic solutions, generating customer business value from our products. Grouping responsibilities in the following areas:
Assess and Design
Thoroughly analyze and understand customer business pain points and intricate technical challenges
Gather requirements in complex enterprise customer environments
Master Elastic solution architectural design on platforms integrating with other enterprise technologies
Create and build out customer road maps
Demonstrate technical authority by proficiently articulating complex technical solutions in clear language, effectively persuading the audience to embrace recommended best practices while presenting and delivering Elastic's optimal solutions.
Implement and Deliver
Orchestrate and implement capacity planning in mission-critical environments
Perform technical audits, upgrades, platform migrations, and use-case expansion
Work with and guide our customers along their ever-maturing Observability journey
Influence and Collaborate
Work closely with the Elastic Engineering, Product Management, and Support teams to identify feature enhancements, extensions, and product defects
Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns
Be a mentor/coach for your fellow Elastic consultants
Demonstrated ability to communicate to a variety of stakeholders up to the C-suite level
What You Bring
Minimum of 5 years as a Consulting Architect or senior IT functional leadership experience
History of working as a Consultant delivering professional services engagements
Strong customer advocacy, relationship-building, presentation and communications skills
Ability to lead meetings with project owners and C-level stakeholders.
Ability to articulate the business value of an outcome-based delivery while being technically savvy and hands-on
Demonstrated experience of technical leadership throughout project lifecycles
Solid experience deploying Elastic Observability solutions or similar domains (Splunk, Datadog, Dynatrace, New Relic, AppDynamics, Sentinel, Grafana Labs)
Hands-on experience in on-prem systems and/or public/private cloud platforms like AWS, Azure, GCP, Openstack
Hands-on experience in Linux
Good understanding of networking, security, containerization, serverless, DevOps in system landscapes and infrastructure automation knowledge.
Experience utilising programming or scripting languages in a corporate environment like Python, Javascript, Go or Chef/Puppet etc.
Understanding of databases
Ability and willingness to travel from time to time as required
Comfortable working remotely in a highly distributed team
Bonus Points
BS or Master in Computer Science
Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure
Deep understanding of Elasticsearch and Lucene, including Elasti
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