CredFlow AI
Sr. DevOps Engineer
- Compensation
- Not disclosed
- Location
- Gurgaon
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 3+ years of experience in DevOps, Cloud Engineering, or Platform Engineering.
- Strong hands-on experience with Kubernetes and container orchestration.
- Experience with Docker, Helm, and cloud-native tooling.
- Proven experience building and managing CI/CD pipelines.
- Hands-on experience with AWS or GCP (or similar cloud platforms).
- Experience with monitoring systems such as Prometheus and Grafana.
- Strong understanding of Linux systems, networking, and distributed systems.
- Experience with container security and production deployments.
Nice to have
- Experience with OCI marketplace or cloud marketplace packaging.
- Familiarity with infrastructure as code tools, such as Terraform.
- Exposure to AI/ML workloads or model deployment systems.
- Experience with microservices and distributed architectures.
- Exposure to SRE practices and incident management.
Full description
We are hiring a DevOps Engineer to own the deployment and infrastructure stack powering PrimaLabs' platform (PrimaServe). This role is responsible for building reliable, reproducible, and scalable deployment systems across cloud and customer environments.
You will manage containerised deployments, Kubernetes infrastructure, CI/CD pipelines, and observability systems to ensure stable and consistent production environments. This role is critical to enabling customer delivery and scaling benchmark workloads.
Responsibilities:
- Own and maintain the PrimaServe deployment stack (Docker, Kubernetes, Helm).
- Build and manage CI/CD pipelines for reliable and repeatable deployments.
- Package and deploy applications across cloud marketplaces (AWS, GCP, OCI).
- Design and manage Kubernetes-based infrastructure for production workloads.
- Implement and maintain monitoring and observability (Prometheus, Grafana).
- Ensure deployment reliability, reproducibility, and environment consistency.
- Manage container security, image optimisation, and runtime configurations.
- Troubleshoot production issues and improve system stability (SRE practices).
Requirements:
- 3+ years of experience in DevOps, Cloud Engineering, or Platform Engineering.
- Strong hands-on experience with Kubernetes and container orchestration.
- Experience with Docker, Helm, and cloud-native tooling.
- Proven experience building and managing CI/CD pipelines.
- Hands-on experience with AWS or GCP (or similar cloud platforms).
- Experience with monitoring systems such as Prometheus and Grafana.
- Strong understanding of Linux systems, networking, and distributed systems.
- Experience with container security and production deployments.
Good to Have:
- Experience with OCI marketplace or cloud marketplace packaging.
- Familiarity with infrastructure as code tools, such as Terraform.
- Exposure to AI/ML workloads or model deployment systems.
- Experience with microservices and distributed architectures.
- Exposure to SRE practices and incident management.