Gravitee

Solutions Engineer

Gravitee

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformGraphQLGRPCJavaJavaScriptKafkaKubernetesLinuxPython

About the role

  • Partner with Account Executives to lead the technical sales process, demonstrating Gravitee’s value and transforming prospects into happy, successful customers.
  • Conduct discovery sessions, deliver impactful product demos, lead Proof of Concepts (PoCs), and provide expert technical guidance to customers and prospects.
  • Collaborate with Customer Success Managers and Technical Account Managers to ensure current customers maximize the value they get from Gravitee and identify growth opportunities.
  • Engage with partners and service providers to explore new opportunities and technical collaborations.
  • Work closely with marketing, product development, and other teams to influence product evolution, provide customer feedback, and contribute to webinars, blog posts, and other content initiatives.

Requirements

  • 3+ years in a previous Solutions Consultant, Solutions Architect or Solutions Engineering role for a B2B vendor
  • A track record of providing solutions and engaging with technical (e.g developer and architect) customer personas
  • Excellent communication skills and the ability to present advanced technical topics and deliver tailored demos to different audiences
  • Experience working in middleware technology, ideally within API management, IAM or integration
  • Good knowledge of REST, JSON and XML
  • Some scripting experience, ideally with Java or JavaScript/Python
  • Hands-on experience with cloud providers (AWS, Azure, GCP)
  • Ability to design deployment architectures (HA, DR, etc)
  • Understanding of Kubernetes, Docker, continuous integration and continuous delivery processes as well as experience with Linux
  • Creativity and innovation to come up with new material to have people discovering and learning about Gravitee
  • Understanding of Event Driven Architectures and APIs (desired)
  • Understanding of OAuth2 and OpenID Connect (desired)
  • Knowledge of Kafka, gRPC, GraphQL (desired)
  • Hands-on experience with LLMs or AI Agent frameworks or platforms (desired)