Mid. Solution Engineer
Job Description
- Engage with clients and stakeholders to gather requirements, understand technical and business challenges, and define project goals.
- Analyze business and technical challenges, then design and propose tailored technology solutions that align with the client's needs.
- Collaborate with sales, technical, and product teams to develop comprehensive solution proposals and presentations.
- Continuously research, evaluate, and recommend emerging technologies, frameworks, and best practices to enhance solution effectiveness.
- Conduct feasibility studies and Proof-of-Concept (PoC) testing to validate new approaches before full implementation.
- Work closely with developers, solution architects, and project managers to ensure smooth execution of projects, from ideation to deployment.
- Troubleshoot, refine, and optimize systems, applications, and architectures for improved performance, scalability, and security.
- Create and maintain technical documentation, best practices, and solution architectures for internal and client reference.
- Engage in research & development (R&D) to explore innovative solutions.
- Provide consultancy support by advising clients on the best technology strategies.
Job Requirements
- Bachelor's, Diploma 3, or Diploma 4 degree in IT, Software Engineering, Computer Science, or other related fields.
- Have a minimum of 1-2 years of experience as an Fullstack Engineer with strong proficiency in Go, Python, and JavaScript.
- Passion for technology, research, and innovation, with the ability to stay up to date with emerging trends in software engineering and AI/IoT solutions.
- Ability to work collaboratively with cross-functional teams, including developers, project managers, and business stakeholders.
- Strong problem-solving and analytical thinking skills to evaluate client challenges and propose innovative solutions.
- Excellent technical documentation and communication skills to explain complex concepts to both technical and non-technical stakeholders.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of databases, networking, and security principles.
- Experience with DevOps practices (CI/CD, Infrastructure as Code, Automation) is a plus.