Solution Architect

CodeValue is a leading software company delivering a full spectrum of software services that enable customers to focus on their core business activities.

At CodeValue, we leverage the Web by administering cross-platform development. We strive to build and maintain our top-notch expertise in this extremely dynamic and versatile field.

A Software Architect at CodeValue is a technological leader, responsible for architecting, designing and implementing a software solution end to end. While having overall responsibility for a project, CodeValue architect is also part of the engineering team due to our passion for coding.

In addition, the Software Architect is in charge of mentoring team members – keeping them up-to-date on technology and the project on track.

If you are a technological leader with the ability to see the big picture, passion for coding and a team player, you should apply for this position!

As a Solution Architect at CodeValue, you will be responsible for:

•  Design and implement the architecture for large-scale, distributed systems, from concept to production.
•  Develop high-performance, secure, and scalable technical architecture designs that support Big Data and AI workloads.
• Collaborate closely with Product Managers, Data Scientists, and Engineering teams to translate user stories and business requirements into robust technical solutions.
•  Work side-by-side with DS and Data engineers, fostering knowledge sharing, architectural governance, and best practices.
• Investigate and introduce emerging technologies to enhance scalability, reliability, security and innovation across the platform.

• Master/Bachelor’s Degree in Computer Science or Data Science.
•  5+ years of hands-on experience as a as System Architect/Principal Architect lead – Must.
• Proven track record in designing and deploying Big Data and AI solutions using frameworks.
• In-depth knowledge of metadata management, taxonomy, and big data object models.
• Experience with cloud-based Big Data and AI services (AWS, GCP, or Azure) .
• Familiarity with machine learning frameworks and concepts.
•  Knowledge of C4I, communication systems and protocols – Advantage.
•  Knowledge of cybersecurity practices, agile development, and system operations – Advantage.
•  Hands-on experience with Java, C++, or Python and ability to develop proof-of-concepts.
• Deep technical expertise and systems thinking across application, data, and infrastructure domains.