(PLEASE READ THROUGH THE JD COMPLETELY BEFORE APPLYING. WE NEED IMMEDIATE JOINERS APPLICATION ONLY)

Job Title: DevOps Specialist

Job Type: Full-Time | Location: Chennai

Experience Level: Sr. Associate (5-6 years)

Company Overview:

Yavar is a data intelligence platform company offering industry-specific private AI applications. Our platforms help enterprises unlock intelligence using AI, deep-tech orchestration, and secure cloud infrastructure. We're looking for a DevOps Specialist to build and scale our multi-cloud (GCP & Azure) environments with security-first automation.

Who Should Apply:

We seek engineers with 5-6 years of DevOps experience, including 1-2 years designing and managing cloud native architectures. If you have hands-on experience with cloud platforms (GCP/ Azure), containerization (dockers / Kubernetes), infrastructure as a code (terraform, ansible) and designed secure CI/CD pipelines, enforced zero-trust access, and optimized cloud costs—while thriving in fast-paced AI/ML environments—this role is for you. Familiarity with DevSecOps practices, observability stacks, and modern identity and access protocols is a strong plus.

Role Summary:

As a DevOps Specialist at Yavar, you will play a critical role in building and maintaining the backbone of our cloud-native infrastructure. You'll be responsible for designing and optimizing CI/CD pipelines, managing cloud deployments, ensuring high availability and security, and supporting developer productivity through automation. You'll also oversee internal IT operations, including employee onboarding/offboarding, identity management, and system access controls. This role is ideal for someone who thrives at the intersection of infrastructure reliability, DevOps innovation, and organizational IT administration

Key Responsibilities:

Design, implement and maintain CI/CD pipelines to ensure smooth and automated code deployments across environments.
Manage multi-cloud architectures (GCP/AWS/Azure) focusing on scalability, cost-efficiency and high availability.
Implement and manage infrastructure as a code (IaaC) using toolis like Terraform/ Cloud Formation, ensuring compliance with SOC2/GDPR.
Setup and manage containerized environments using Kubernetes, including helm-based deployments.
Ensure system reliability, performance monitoring, altering and optimizing costs with finops practices using tools like Prometheus, Grafana, or datadog.
Implement zero-trust IAM (GCP IAM Roles, Azure RBAC/PIM) and SSO/MFA (Azure AD, Google Workspace).
Automate CI/CD pipelines (GitHub Actions, Azure DevOps) with embedded security scans.
Manage secrets (Hashicorp Vault, GCP Secret Manager) and encryption (KMS, Cloud HSM).
Collaborate with AI teams to deploy RAG pipelines and vector databases at scale.
Continuously evaluate and adopt emerging tools, frameworks, and practices to improve DevOps productivity and operational resilience.
Participate in architecture reviews, performance benchmarking, deployment automation and disaster recovery planning.
Own and manage internal IT administration – including employee onboarding, ID provisioning, access controls and system audits.

Must-Have Qualifications:

5-6 years in DevOps, infrastructure engineering, and system administration roles.
1-2 years experience in managing cloud environments (AWS, GCP & Azure).
Proficiency in:
Infra-as-Code: Terraform, ARM/Bicep
Containers: Docker, Kubernetes (GKE/AKS), Helm
Security: IAM, VPC-SC, NSGs, SIEM tools
CI/CD: Jenkins, GitHub Actions, Github scripting and automation scripting (Bash, python, or shell).
Experience managing IT administration workflows, employee RBAC and endpoint management.
Bachelor's degree or Masters in Computer Science or related field.

Key Attributes:

Security-first mindset with expertise in least-privilege access.
Pragmatic problem solver who debugs production incidents via SRE practices.
Clear communicator who can explain infrastructure decisions and operational trade-offs to cross functional teams.
Collaborative spirit working with AI/ML and product teams.
Continuous learner, staying current with emerging tools, best practices and zero-trust frameworks.

Why Join Us

Build secure, scalable infrastructure for cutting-edge AI products.
Work with top-tier cloud tech and open-source tools.
Shape privacy-preserving architectures for enterprise AI.
Competitive salary + certification sponsorships.

How to Apply: If you're passionate about secure cloud automation, send your resume (with Terraform/GitHub samples) to [HIDDEN TEXT].