Description
As a Consulting Architect – Observability, 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.
You'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.
Key responsibilities include:
- Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
- Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.
- Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
- Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
- Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
- Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.
- Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration
Required skills include:
- 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
- Expertise in the Telecommunications domain, especially with Mobile networks and devices.
- Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
- Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
- Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
- Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
- Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
- Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
- Hands-on expertise in distributed systems and large-scale infrastructure.
- Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
- Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
- Strong communication and presentation skills, with experience engaging directly with customers.
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
- Comfortable working in highly distributed teams, both remote and on-site when needed.
- 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.