Solution Architect
CodeValue
Description
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.
Requirements
- 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.