AI Ops Engineer
Endava · United States · 4 wk ago
RemoteRemoteEngineeringFull-time
Job Description
No C2C | Unable to provide sponsorship or work on transfers at this time.
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).
- 2–4 years of professional software engineering experience.
- Strong programming skills in Python.
- Hands-on experience developing AI applications using the Google Agent Development Kit (ADK) or similar agentic AI frameworks.
- Experience developing and deploying applications within Google Cloud Platform (GCP).
- Experience working with REST APIs, cloud services, and distributed applications.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills within Agile teams.
Preferred Qualifications
- Experience with Terraform and Infrastructure as Code (IaC).
- Experience with containerization technologies such as Docker or Kubernetes.
- Familiarity with CI/CD pipelines and DevOps practices.
- Mobile development experience (Android and/or iOS).
- Experience integrating AI models into enterprise applications.
- Knowledge of software testing, monitoring, and production support best practices.
Additional Information
- Discover some of the global benefits that empower our people to become the best version of themselves.