Develops Analytics-based solutions, integrates various Analytics-related capabilities and technologies, knowledge of scripting languages, system administration, automation tools, and CI/CD practices on Data Analytics Platform on public cloud (GCP/Azure/AWS).
The Solution/Dev Ops Engineer is an Engineer capable to implement, adjust and maintain the analytical components in GCP that steer and monitor a Gen AI chatbot.
Skills requirement – Senior.
The Senior Solution Engineer is able to demonstrate strong Solutioning skills, with the appropriate strong stakeholder management and liaison skills with business and tech audiences.
The Solution Engineer manages the asset life cycle from inception to productionalization, operational deployment and subsequent maintenance.
EXPERIENCE & SKILLS NEEDED
Must have:
Leadership skills with strong stakeholder management capabilities.
Solution overview and ability to connect the dots.
Ability to communicate solutions, approaches, and activities to the development team(s).
Cloud Experience: either Azure, GCP, or AWS, including coding.
Affinity with Advanced Analytics, Data Science, and NLP.
Experience with solution realization in a landscape with tools like Ansible, Puppet, or Terraform for automating infrastructure - the tech stack here is Terraform with Azure Dev Ops pipelines.
Understanding of continuous integration and continuous deployment processes.
Familiar with software engineering practices like versioning, testing, documentation, and code review.
Ability to troubleshoot and resolve complex issues quickly.
Nice to Have:
Experience with different Programming and Scripting skills – Python and Go, Python Java, statistically typed language, e.g. Scala, Java, Go.