We are looking for a talented Senior DevOps Engineer with a passion for Agentic AI. You will build, scale, and maintain the infrastructure for our enterprise product, contributing to core technology and deployment workflows within our dynamic startup.
Responsibilities:
- Collaborate with cross-functional teams to develop AI solutions.
- Own the software lifecycle, from requirement analysis through maintenance.
- Write high-quality code, perform reviews, mentor staff
Qualifications:
- Cloud Platforms: Expert management of AWS services (IAM, EKS, S3, etc.)
- Container Orchestration: Proficient in Kubernetes and Docker.
- DevOps & CI/CD: Skilled in GitOps (Flux2/ArgoCD) and automation (GitHub Actions/Jenkins).
- Infrastructure as Code: Experienced with Terraform and scripting in Python.
- Observability: Competent in architecting solutions using CloudWatch.
- API & Architecture: Knowledge of multi-tenant OIDC/OAuth2, gateways, and service meshes.
- Software Engineering: Production-grade coding in Java, Python, or Go.
- Multi-Cloud:
Expertise in at least one major cloud (AWS, GCP, Azure).
Any Certifications on the below will be an added advantage
- Cloud Certification AWS / Azure / GCP
- CKA Certified Kubernetes Administrator
- HashiCorp Certified: Terraform Associate
The Mindset:
- Critical Thinker: Expert in logical reasoning and complex troubleshooting. Exercises robust judgment to deliver results and evaluate effective actions even with limited information.
- Continuous Learner: Exhibits a swift ability to master emerging technologies, intricate systems, and modern engineering workflows.
- Self-Starter: Acts independently to identify and mitigate risks or suggest enhancements before they are requested.
- Full Accountability: Maintains a high bar for excellence and takes complete responsibility for the features they deliver, ensuring precision in every detail.
- Flexibility: Displays a strong desire to stay current by rapidly integrating the latest