Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, popular AI title, mid-level generalist skills and metro hiring increase candidate competition.
Core ML, cloud, and microservices skills transfer across industries but domain-specific AI experience preferred.
Extensive mandatory cloud, ML, microservices, and container/CICD skills create strict technical filters despite no years specified.
Design, develop, test, and deploy software solutions and microservices with APIs, telemetry data, and ML/AI algorithms in cloud-based environments.
Prototype and showcase multi-vendor infrastructure internally and to clients.
Collaborate across multiple teams for software delivery, code review, automation, and maintaining technical documentation.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Seasoned experience in software development including microservices, RESTful APIs, and cloud architecture (AWS, GCP, Azure).
Strong programming skills in languages such as C/C++, C#, Java, JavaScript, Python, Node.js.
On-site working location. Work Experience Required: Seasoned (senior-level) experience, precise years not specified.
Expertise in cloud-based infrastructures and deployments across multiple public clouds and container runtimes (Kubernetes, Docker).
Experienced working with geo-distributed teams through innovation to production stages, involving Agile, Lean, and DevOps practices.
Proficiency with large datasets, applying ML/AI algorithms, and end-to-end software delivery lifecycle tools.