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DevOps Engineer

iMark Infotech Pvt Ltd -
Chandigarh, Chandigarh

Quick apply

Job details

Full-time
₹50,000 - ₹1,00,000 a month
2 hours ago

Benefits

Provident Fund

Qualifications

CI/CD
Azure
Go
Kubernetes
Software deployment
DevOps
Spark
Git
Java
Application development
AWS
Docker
Distributed systems
Terraform
Continuous integration
Scalability
Kafka
AI
gRPC
GitLab
Communication skills
Python
Identity & access management

Full job description

Job description:
Job Title: DevOps Engineer

About the Role
We are launching a cutting-edge AI training initiative that leverages real-world engineering expertise to build next-generation intelligent systems. As a DevOps Engineer, you will play a key role in designing, documenting, and translating real-life DevOps and backend incidents into high-quality benchmark scenarios. Your experience with outages, scalability challenges, secure deployments, and distributed systems will directly contribute to training advanced AI models.

Key Responsibilities

Capture and document real-world DevOps and backend engineering incidents, converting them into structured benchmark tasks
Design and contribute to secure, scalable, Kubernetes-native architectures
Build and optimize CI/CD pipelines and infrastructure-as-code workflows
Implement and maintain observability, monitoring, and alerting systems
Work across identity and access management (IAM), infrastructure security, and backend services
Collaborate with engineering teams to build realistic, production-grade workflows
Contribute to best practices for secure and isolated (air-gapped/offline) environments

Key Requirements (Must Have)

5–15 years of hands-on DevOps / Platform Engineering experience
Strong Kubernetes expertise (production-scale deployments, troubleshooting, scaling, security)
Terraform OSS and Infrastructure as Code (IaC) experience
CI/CD pipeline implementation (preferably GitLab CI)
Docker and containerized environments
Multi-cloud experience across AWS, Azure, and/or GCP
Proficiency in Go, Python, or Java
Experience designing and operating distributed systems
Observability and monitoring expertise (Prometheus, Grafana, logging, alerting)
IAM and infrastructure security experience, including Keycloak or similar identity platforms
Client-facing experience with a proven track record of clearing customer/client technical interviews
Strong communication and stakeholder management skills
Ability to document and translate real-world production incidents into structured engineering scenarios

Preferred (Good to Have)

Experience with air-gapped/offline deployment environments
Exposure to Data Engineering platforms and pipelines (Airflow, Kafka, Spark, etc.)
MLOps / AI infrastructure experience
gRPC and Kubernetes-native application development
Experience working on large-scale platform modernization or cloud migration initiatives

Additional RequirementsCandidates must demonstrate hands-on experience across at least five functional areas/tools, including:

Identity & Access Management (IAM)
Observability (Prometheus, Grafana)
CI/CD Pipelines
Keycloak
GitLab CI
Terraform OSS
Kubernetes ecosystem tools
ML / Distributed pipelines (nice to have)

What We Offer

Opportunity to work on next-generation AI systems
Exposure to complex, real-world engineering challenges
Collaborative and high-performance work environment
Career growth in advanced DevOps and AI-driven platforms

Job Type: Full-time

Pay: ₹50,000.00 - ₹100,000.00 per month

Benefits:

Provident Fund

Work Location: In person

Quick apply

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