2 часа назад
DevOps Engineer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (Agentic AI) (Cloud Infrastructure and Automation): Designing and maintaining CI/CD, infrastructure, and operational automation for reliable multi-tenant cloud platforms with an accent on Kubernetes, GitOps, observability, and AI-driven operations. Focus on building AI agents for incident triage, root cause analysis, and engineering assistants while improving deployment reliability, security, and scalability.
Location: Colombo, Western Province, Sri Lanka
Company
is an enterprise software company with AI-driven solutions, more than 7,000 employees, and operations across all continents.
What you will do
- Design, develop, and deploy automation solutions that improve the reliability and efficiency of operational platforms.
- Implement and maintain CI/CD pipelines supporting continuous integration, testing, and deployment.
- Build and expand automation frameworks, GitOps workflows, and deployment automation for multi-tenant cloud platforms.
- Build AI agents for operational automation, including AI-driven incident triage, root cause analysis, and operational assistants.
- Improve platform reliability, security, observability, scalability, and resource utilization while monitoring performance and troubleshooting production issues.
- Collaborate with development teams and stakeholders, maintain documentation, create training materials, and share technical knowledge.
Requirements
- Bachelor’s degree in Software Engineering, Systems Engineering, Computer Science, or equivalent professional qualifications.
- 2–5 years of enterprise experience in DevOps, cloud engineering, or related infrastructure roles.
- 2+ years of experience administering Linux, Unix, or Windows systems, plus hands-on experience with Oracle database technologies and PL/SQL.
- Experience with CI/CD tools, Kubernetes, Helm, Docker, Terraform, Ansible, and scripting with Bash, PowerShell, Python, or Go.
- Experience with Azure AKS, AWS, or GCP infrastructure and knowledge of GitOps tools such as ArgoCD and Crossplane.
- Strong communication, problem-solving, analytical, and collaboration skills for working with geographically dispersed teams.
Nice to have
- Experience with Azure services including networking, firewalls, Front Door, Container Registry, Managed Identities, and Storage.
- Experience with agentic AI frameworks and autonomous AI systems, AI governance, prompt engineering, RAG, and AI-powered workflow orchestration.
- Familiarity with MongoDB Atlas, testing automation, test data management, Prometheus, ELK Stack, or Grafana.
- Knowledge of security, compliance, infrastructure hardening, incident response, and production troubleshooting.
- Experience with highly available and scalable multi-tenant cloud systems.
Culture & Benefits
- Flexible and hybrid work opportunities are available to support different working needs.
- International, diverse, and geographically distributed working environment.
- Focus on innovation, collaboration, continuous learning, inclusion, and sustainability.
- Opportunity to work with AI-driven enterprise software and emerging technologies.
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