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DevOps Engineer | ₹60–85 LPA + Equity | Pune (On-site)

Actively Reviewing

Venus Global Technology

Pune Contract 4–8 yrs exp Posted 1 month ago · Apply by Jul 18, 2026

Job Description

ocation: Pune, India (HQ2 – In-Office)

Compensation: ₹60,00,000 – ₹85,00,000 + Performance-Based Equity

We are building next-generation AI-powered software systems and are looking for a highly skilled DevOps Engineer to help scale the infrastructure behind autonomous AI applications and enterprise-grade platforms.

This is a high-impact, hands-on role where you will work across cloud infrastructure, Kubernetes orchestration, CI/CD automation, observability, and AI-native platform engineering. You’ll play a critical role in building scalable systems that enable software delivery at machine speed.

What You’ll Work On

Build and manage Kubernetes infrastructure supporting large-scale AI and application workloads
Design and maintain high-performance CI/CD pipelines across distributed systems
Automate infrastructure provisioning using Terraform and Python
Manage Helm-based deployments and release automation
Implement observability platforms including monitoring, logging, tracing, and alerting
Support production reliability, incident response, and platform scalability
Collaborate closely with engineering teams to improve developer productivity and deployment velocity

Required Skills

5–8 years of DevOps / Platform Engineering experience
Strong Python scripting and automation expertise
Deep Kubernetes and container orchestration experience
Hands-on experience with Helm and Terraform
Strong CI/CD implementation experience
Cloud platform expertise (AWS, GCP, or Azure)
Linux systems administration and Docker/containerization fundamentals

Nice to Have

CKA Certification
Exposure to MLOps tools such as MLflow or Kubeflow
Experience with distributed systems and microservices
Knowledge of service mesh and API gateway technologies
Prior startup or AI infrastructure experience
Strong focus on developer tooling and platform optimization

This opportunity is ideal for engineers who enjoy ownership, fast-paced environments, infrastructure automation, and building highly scalable AI-driven platforms.