Solutions Engineer

Posted 9 Days Ago
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Hiring Remotely in Gurugram, Haryana, IND
In-Office or Remote
Senior level
Machine Learning • Software
The Role
Drive technical sales cycles for an observability platform by partnering with account executives, presenting solutions, conducting product demonstrations and proofs of concept, sizing implementations, and developing custom integrations. Advise customers on monitoring, observability, security, and log management best practices while integrating technologies such as Kubernetes, cloud platforms, Docker, Prometheus, and OpenTelemetry.
Summary Generated by Built In
Description

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

Solution Engineers in Coralogix are key in meeting our customers’ expectations and helping them utilize their observability and security data. We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey.

Solution Engineer is expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.

Key Responsibilities

  • Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles.
  • Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide.
  • Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts.
  • ⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product.
  •  ⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs.
Requirements
  • ⁠Minimum 5 years of experience in a customer-facing role such as pre-sales, solutions engineering or technical architecture.
  • Exceptional communication and presentation skills.
  • Proven ability in technical integrations and conducting POCs.
  • Proficiency in coding with high-level programming languages (Java, Go, Python).
  • Solid understanding of Monitoring, Observability, Log Management, SIEM.
  • Background in Engineering/DevOps will be considered an advantage.
  •  ⁠Previous experience in Technical Sales of Log Analytics, Monitoring, APM, RUM, SIEM is desirable.

Technical Expertise

  •  ⁠In-depth knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, OpenTelemetry.
  • ⁠ ⁠Candidates should have hands-on experience and the ability to integrate these technologies into customer environments, providing tailored solutions that meet diverse operational requirements.

Skills Required

  • At least 5 years of experience in a customer-facing role such as pre-sales, solutions engineering, or technical architecture
  • Exceptional communication and presentation skills
  • Proven ability to perform technical integrations and conduct proofs of concept
  • Proficiency coding in Java, Go, or Python
  • Solid understanding of monitoring, observability, log management, and SIEM
  • Hands-on knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry
  • Background in engineering or DevOps
  • Previous technical sales experience with log analytics, monitoring, APM, RUM, or SIEM
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The Company
HQ: Boston, MA
198 Employees
Year Founded: 2014

What We Do

We’re rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different data pipelines per use case, we provide deep insights for less than half the cost. In short, we are streaming the future of data.

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