Delivery

Client Solutions Architect-2203 (Remote)

Remote
Work Type: Full Time

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth.  

You can learn more about us at: http://www.cesltd.com


Position Summary: 

We are seeking a skilled Solution Architect with extensive experience in .NET, Angular, and full-stack development, complemented by domain knowledge in manufacturing. This role will focus on designing, implementing, and scaling robust technology solutions aligned with business objectives, with opportunities to cross-skill in artificial intelligence (AI). This position also requires strong people management skills to lead cross-functional teams effectively and ensure successful project delivery.

Key Responsibilities:

Solution Architecture Design and Implementation:
  • Define and document architecture for scalable, secure, and high-performing solutions, particularly within manufacturing systems.
  • Ensure that solutions align with business goals, incorporating best practices and cutting-edge technologies.
    Technical Guidance and Cross-Skilling in AI:
  • Provide technical expertise in .NET, Angular, and full-stack frameworks, supporting teams with in-depth guidance.
  • Develop proficiency in AI and machine learning technologies, applying them to manufacturing use cases and enhancing solution capabilities.
    Requirements Gathering and Analysis:
  • Collaborate with stakeholders to gather, analyze, and prioritize requirements, ensuring that solutions meet end-user needs and business objectives.
    Technology Evaluation and Selection:
  • Assess and select appropriate technologies and platforms based on performance, compatibility, and cost, ensuring they align with project goals.
    Ensuring Solution Performance, Scalability, and Security:
  • Implement strategies to maintain high standards in solution performance, scalability, and security, addressing potential risks and vulnerabilities proactively.
    Risk Management and Continuous Improvement:
  • Identify, document, and mitigate project risks, maintaining a commitment to quality and continuous improvement throughout the solution lifecycle.
    People and Project Management:
  • Lead and mentor cross-functional teams, fostering collaboration between developers, project managers, and business analysts.
  • Ensure effective communication across teams, managing project expectations, timelines, and deliverables efficiently.

Key Skills and Qualifications:
  • Technical Expertise: Proficiency in .NET, Angular, and full-stack development; experience with AI and machine learning is a plus.
  • Manufacturing Domain Experience: Familiarity with manufacturing processes and requirements, ensuring solutions are tailored to industry needs.
  • Analytical and Problem-Solving Skills: Strong analytical abilities to tackle complex technical challenges and deliver innovative solutions.
  • Leadership and People Management: Ability to lead and inspire teams, manage cross-functional collaboration, and drive project success.
  • Strong Communication Skills: Proven capability to communicate effectively with technical and non-technical stakeholders
Technical Expertise: 

  • Proficiency in .NET, Angular, and full-stack development; experience with AI and machine learning is a plus.
  • Manufacturing Domain Experience: Familiarity with manufacturing processes and requirements, ensuring solutions are tailored to industry needs.
  • Analytical and Problem-Solving Skills: Strong analytical abilities to tackle complex technical challenges and deliver innovative solutions.
  • Leadership and People Management: Ability to lead and inspire teams, manage cross-functional collaboration, and drive project success.
  • Strong Communication Skills: Proven capability to communicate effectively with technical and non-technical stakeholders
Why CES :
  • Flexible working hours to create a work-life balance.
  • Opportunity to work on advanced tools and technologies.
  • Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
  • Highly encouraged for any innovative ideas & thoughts and we support in executing the same.
  • Periodical and on-spot rewards and recognitions on your performance.
  • Provides a better platform for enhancing skills via many different L&D programs.
  • Enabling and empowering atmosphere to work along.

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