Solution Engineer

Company Description

Micromonic is dedicated to unlocking value for businesses through domain-driven AI models and responsible AI solutions, powered by our dual platforms: NeuralMicromonic and Guardian9. We design customized AI systems to enhance decision-making, streamline operations, and drive innovation. Our expertise in Domain-Driven Micro Models and Responsible AI ensures ethical and scalable AI at every step. Our platforms, NeuralMicromonic and Guardian9, offer targeted AI solutions and enterprise-grade governance, respectively, enabling organizations to confidently scale AI applications.

Role Description

We are looking for a skilled Solution Engineer with a strong background in end-to-end engineering solutions, particularly around application modernization, cloud platforms, and API-driven architectures. The ideal candidate will collaborate with cross-functional teams to design, develop, and deliver scalable and secure solutions that drive business value

• Architect and implement end-to-end engineering solutions for modernizing legacy applications.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Design cloud-native and hybrid solutions leveraging public cloud platforms (AWS, Azure, GCP).
• Develop and manage RESTful APIs, integration layers, and microservices.
• Lead and guide development teams on solution implementation best practices.
• Conduct system assessments and create modernization roadmaps.
• Ensure solutions meet performance, scalability, and security standards.
• Provide technical expertise during pre-sales and delivery engagements.

Qualifications

• 5+ years of experience

  as a

  Solution Engineer

  ,

  Solutions Architect

  , or in a similar technical role.
• Proven expertise in

  software development

  and

  system integration

  .
• Demonstrated experience leading or contributing to

  application modernization

  initiatives (e.g.,

  re-platforming

  ,

  re-architecting

  ,

  containerization

  ).
• Strong hands-on knowledge of

  cloud platforms

  , including

  AWS

  ,

  Azure

  , or

  Google Cloud Platform (GCP)

  .
• Proficiency in

  API design and management

  (e.g.,

  REST

  ,

  GraphQL

  ,

  API Gateways

  ).
• Experience with

  containerization and orchestration tools

  such as

  Docker

  and

  Kubernetes

  .
• Solid understanding of

  CI/CD pipelines

  ,

  DevOps practices

  , and

  Infrastructure as Code

  tools (e.g.,

  Terraform

  ,

  CloudFormation

  ).
• Strong

  consulting

  ,

  presales

  , and

  sales support

  skills, with the ability to engage both technical and business stakeholders.
• Excellent

  problem-solving

  ,

  troubleshooting

  , and

  analytical

  abilities.