DevOps Engineer Intern (Infrastructure + QA) – Kubernetes, Terraform, Cloud | Paid Internship | Noida / India

Company: Synthlane Technologies
Role: DevOps Engineer Intern – Infrastructure & QA (Voice AI Systems)
Job Type: Paid Internship (3–6 Months)
Work Mode: Work From Office
Location: Noida, Uttar Pradesh, India
Start Date: Immediate
Employment Opportunity: High probability of PPO / Full-Time DevOps Engineer role

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Company Overview – Synthlane Technologies

Synthlane Technologies is a deep-tech company building next-generation Voice AI (VoiceAl) systems that operate in high-security, high-reliability production environments. Our platforms run across cloud infrastructure, GPU-based systems, and on-premise client networks with strict performance, compliance, and uptime requirements.

We solve complex problems in cloud infrastructure engineering, DevOps automation, platform reliability, cybersecurity, and large-scale distributed systems. Our engineering culture values ownership, reliability, documentation, and real-world production impact.

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Internship Role Overview – DevOps Engineer (Infrastructure + QA)

This is not a shadow internship. As a DevOps Engineer Intern, you will work directly on production-grade infrastructure, monitoring systems, CI/CD workflows, cloud deployments, and QA validation pipelines for enterprise Voice AI platforms.

You will gain hands-on exposure to Kubernetes clusters, Terraform infrastructure, GPU workloads, cloud networking, incident response, monitoring, and release reliability engineering.

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Key Responsibilities

Infrastructure & Cloud Engineering

• Assist in managing Kubernetes production clusters for scalable Voice AI workloads.
• Support GPU infrastructure provisioning, scheduling, scaling, and reliability monitoring.
• Implement and maintain Infrastructure as Code (IaC) using Terraform.
• Work with AWS, GCP, or Azure cloud environments.
• Support on-premise and hybrid cloud deployments for enterprise clients.
• Ensure infrastructure changes are reviewed, traceable, reproducible, and documented.

Monitoring, Reliability & Operations

• Configure and maintain monitoring and alerting systems using Grafana, Prometheus, PagerDuty (or equivalents).
• Define and validate reliability metrics including uptime checks, error budgets, and deployment safety checks.
• Participate in incident investigation, root cause analysis, and post-incident summaries.
• Improve system stability through preventive reliability improvements.

QA for Infrastructure & Product Workflows

• Convert PRDs and user stories into test scenarios and validation checklists.
• Perform manual testing of web applications across browsers (Chrome, Firefox, Safari).
• Test REST APIs using Postman, Insomnia, curl, validating edge cases and error handling.
• Perform basic database validation using SQL (SELECT, WHERE, JOIN).
• Track tasks and issues using Jira, Linear, or ClickUp with clear reproduction steps and acceptance criteria.

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Required Skills & Qualifications

Core Technical Skills

• Hands-on production experience with Kubernetes.
• Hands-on production experience with Terraform.
• Experience with at least one major cloud provider: AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Working knowledge of Linux systems administration.
• Scripting skills using Python and/or Bash.
• Strong understanding of networking fundamentals:
  • VPC / VNET
  • Subnets
  • Routing
  • VPNs
  • Security Groups / Firewalls

DevOps & Platform Knowledge

• Familiarity with CI/CD pipelines, Git-based workflows, and modern DevOps tooling.
• Understanding of cloud security best practices:
  • IAM
  • Secrets management
  • Least privilege access
  • Audit logging
• Strong documentation habits including runbooks, deployment notes, and checklists.

Professional Attributes

• Very high ownership and accountability.
• Strong problem-solving and systems-level thinking.
• Ability to clearly explain what you are doing, why it matters, risks involved, and validation approach.
• Excellent attention to detail — reliability depends on small details.
• Comfortable working in fast-paced, high-impact production environments.

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Preferred (Nice to Have)

• Exposure to bare-metal or on-premise infrastructure.
• Experience with GPU workloads or ML/AI infrastructure.
• Familiarity with DevSecOps practices.
• Experience with modern developer tools and Git workflows.
• Contributions to open-source DevOps, Kubernetes, or infrastructure projects.

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Why This Internship Stands Out

• Real production infrastructure exposure, not simulated tasks.
• Work on enterprise Voice AI systems used by real clients.
• Learn true site reliability engineering (SRE) practices.
• Direct mentorship from experienced infrastructure engineers.
• High visibility, fast learning, and strong conversion to full-time DevOps Engineer roles.

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Target Countries for Search Traffic

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