As a Sr. Technical Consultant – Search, you will play a pivotal role in helping our customers realise the value of Elastic's Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.
\nYou'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Search platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.
\nKey responsibilities include:
\nThe ideal candidate will have 5+ years of experience as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies, including Elasticsearch and related search platforms. They will also have hands-on experience designing and deploying search solutions, proficiency in at least one programming language, and knowledge of distributed search systems and large-scale infrastructure.
\nThe role offers a competitive salary range of $110,900-$175,500 USD, with opportunities for growth and professional development in a dynamic and distributed company.
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\nThis role is eligible to participate in Elastic's stock program and has a competitive salary range of $192,500-$304,500 CAD.
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\nThese ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
\nAn employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
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\nThe typical starting salary range for this role is: $154,000-$243,600 CAD
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\nIn terms of compensation, this role has a base salary with no variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD.
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\nYou will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
\nYou will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.
\nYou will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.
\nYou will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
\nYou will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
\nYou will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
\nYou will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
\nYou will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.
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\nYou'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.
\nKey responsibilities include:
\nRequired skills include:
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\nOur team is responsible for building the core platform that powers search for Elastic's customers and users for e-commerce, observability, SIEM, and more. We focus on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene, evolving the search tier of our Serverless architecture, and building search functionality in our new piped query language, ES|QL.
\nAs an Engineering Manager, 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.
\nOur company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack.
\nAt our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.
\nWe believe that engineering complex, pluggable software that is built to last the test of time is both tricky and exciting. Doing so requires a team of diverse individuals, with sharp minds and the ability to empathize with our users, working together with mutual respect and a common mission.
\nWe care deeply about giving you full ownership of what you're working on. Our company fundamentally believes great minds achieve greatness when they are set free and are surrounded and challenged by their peers, which is clearly visible throughout our organization.
\nAt Elastic, hierarchy does not determine how decisions get made. We feel that anyone needs to be in the position to comment on anything, regardless of their role within the company.
\nResponsibilities
\nRequirements
\nBonus Points
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