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Solution Architect
Solution Architect

Solution Architect at dimiour · Remote only · 10 - 20 years · ₹23L - ₹40L / yr · Profitable · Remote only · Posted 30 Jan 2025

dimiour's logo

Solution Architect

Mohammed Dayan's profile picture
Posted by Mohammed Dayan
10 - 20 yrs
₹23L - ₹40L / yr
Remote only
Skills
skill iconNodeJS (Node.js)
skill iconSwagger
MVC Framework
Payment gateways
API
API management
skill iconJava
skill iconPython

Responsibilities

  •  Develop and maintain server-side Node.js applications using the Express.js framework,
  • OpenAPI, API Gateway, and Swagger specifications.
  •  Work with a team of developers to design, implement, and test new features.
  •  Optimize and troubleshoot existing applications to improve performance and reliability.
  •  Write clean, maintainable, and efficient code.
  •  Collaborate with front-end developers to integrate server-side and client-side applications.
  •  Mentor and coach junior developers on the team
  • Keep up to date with the latest Node.js, Express.js, OpenAPI, API Gateway, Swagger, and Jest developments.
  • Qualifications
  • Minimum 5+ years as Solution architect Experience is must
  • 5+ years of experience In Node.js
  • 2+ years of experience with the Express.js framework
  • 2+ years of experience with OpenAPI, API Gateway, and Swagger is must
  • Strong understanding of JavaScript programming language
  • Experience with SQL and NoSQL databases
  • Experience with RESTful API design and development
  • Experience with unit testing and test-driven development (Jest)
  • Excellent problem-solving and debugging skills.
  • Ability to work independently and as part of a team.
  •  Strong communication and interpersonal skills 
  •  Experience with cloud computing platforms such as AWS or Azure
  •  Experience with container orchestration technologies such as Docker and Kubernetes
  •  Experience with continuous integration and continuous delivery (CI/CD) pipelines
  •  Experience with leading and mentoring development teams
  • Strong knowledge of integration patterns, technologies, and tools
  • Experience with integration platforms such as MuleSoft, Dell Boomi, or similar.
  • Experience with API management platforms such as Apisix, Apigee, Kong, or similar.
  • Experience with cloud-based integration solutions such as AWS, Azure, or similar.
  • Strong understanding of microservices architecture and RESTful APIs
  • Experience in designing and implementing complex integration solutions for enterprise-level applications.

Knowledge of security and compliance requirements for integration solutions

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About dimiour

Founded :
2007
Type :
Services
Size :
5000+
Stage :
Profitable

About

N/A

Company social profiles

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  • Room to grow with the company: as RockED scales, so does the scope of this role.
  • Care for you and your family: health and insurance coverage, fully sponsored by RockED.
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  • Understanding of secure API/tool integration, authentication, permissions, and data handling when exposing capabilities to AI agents. 
  • Ability to identify practical opportunities for AI, automation, and reusable engineering tooling. 
  • Experience with CI/CD, Git-based development, and modern software engineering practices. 
  • Experience performing code reviews and mentoring other developers. 
  • Strong analytical, problem-solving, written, and verbal communication skills. 

Preferred Skills 

  • Experience building AI-enabled developer tools, agents, or internal engineering platforms. 
  • Experience with prompt engineering, structured outputs, RAG, embeddings, or LLM APIs. 
  • Experience integrating engineering systems such as GitLab, Jira, CI/CD pipelines, APIs, databases, or observability platforms with AI agents. 
  • Experience creating reusable MCP tools or agent workflows used by multiple developers. 
  • Airline, travel, Offer/Order, reservation systems, or GDS experience is a plus. 

Mindset We Are Looking For 

We are looking for developers who think beyond implementing the immediate requirement and consistently ask: 

  • Can AI or automation make this development process faster or more reliable? 
  • Can this capability be built as a reusable tool, skill, agent, or MCP integration? 
  • Can repetitive analysis, debugging, testing, or documentation be automated? 
  • Can an existing solution be simplified or made more scalable? 
  • How can AI be used responsibly without compromising security, quality, or maintainability? 

The goal is to build an engineering organization where developers use AI and automation as part of their everyday engineering workflow, while continuing to maintain strong software engineering fundamentals. 

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
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