PrivaSapien - DevOps Architect - Azure Kubernetes Service (6-8 yrs)

Job Description :

Role : DevOps Architect.

Job Location : Bangalore.

Experience : 6-8 years.

Educational Qualification : Engineering & preferably from a premier institute.

About the Job :

We are entering data and AI era.

At PrivaSapien, you will have the opportunity to lead this era with Privacy Enhancing & Responsible AI Technologies.

You will be an individual contributor working in setting up the big data ecosystem of the world's first privacy red teaming and blue teaming platform.

You will be working on cutting edge privacy platform requirements with customers across the globe and industry verticals.

As part of being one of the early employees of the organization, you will be given a significant ESOP option and will be working with some of the brilliant minds from IISc and IIMs.

Apply today to be a part of a team that is taking AI into Privacy era.

Responsibilities :

- Work closely with development, operations, and other cross-functional teams to foster collaboration and effective communication.

- Possess extensive expertise in navigating and contributing to software development environments based on Linux/Unix systems.

- Demonstrate hands-on experience on AI/ML workload integrations and executions.

- Hands-on experience on containerizing application using docker.

- Implement and maintain Kubernetes clusters, showcasing a deep understanding of orchestration, scaling, and resource management.

- Leverage Certified Kubernetes Administrator (CKA) credentials to ensure best practices in Kubernetes administration, troubleshooting, and performance tuning.

- Work seamlessly in a multi-cloud environment, specifically AWS and Azure.

- Execute hands-on development and deployment of microservices and containerized applications.

- Shall have hands-on experience on Databases like Postgres, Mongo, & MySql.

- Should be able to understand highly scalable queuing and caching solutions.

- Deliver high quality, scalable, and resilient solutions that are documented and thoroughly tested.

- Employ scripting for automation and demonstrate proficiency in building and managing systems, infrastructure, and applications through automation using infrastructure as code, with notable experience in Terraform.

- Possess an understanding of operational concepts and tooling, including monitoring platforms such as Grafana or Nagios, log aggregation solutions like Splunk, and distributed tracing.

- Stay current with the latest trends, tools, and best practices in Cloud and DevOps.

Requirements :

- Minimum 4 years of experience in any of the roles -DevOps, build release, integration, configuration engineer.

- 4 + years of strong experience working with Linux/Unix software development environments.

- Solid practical exposure to integrating and executing AI/ML workloads.

- 4+ year experience in Docker and Kubernetes with practical expertise (holding CKA Certification), and familiarity with Helm.

- Expertise in networking, security, and cloud platforms (AWS, Azure, GCP, etc.

- 3+ years' experience in databases NoSQL & SQL MongoDB, SnowFlake, PostgreSQL, DeltaLake, Parquet.

- Strong hands-on experience in CI/CD tools like GitLab, Jenkins, Nexus, Artifactory.

- Strong hands-on experience in scripting tools (Linux, Terraform, Python and shell) and in Monitoring tools (Grafana, Prometheus).

- Strong understanding of networking, DNS, HTTP and Restful services.