Senior DevOps Engineer

2 days ago

Navi Mumbai, Maharashtra, India QualityKiosk Full time ₹ 15,00,000 - ₹ 20,00,000 per year

CorporateNavi Mumbai

Posted On

01 Sep 2025

End Date

31 Oct 2025

Required Experience

4 - 6 Years

Basic Section

No. Of Openings

1

Designation

Senior Software Engineer

Closing Date

31 Oct 2025

Organisational

MainBU

Corporate

Sub BU

Corporate

ParentCC

Research & Development

CostCenter

Product

Legal Entity

QualityKiosk Technologies Private Limited

Legal Entity Location

Navi Mumbai

Country

India

Region

India

State

Maharashtra

City

Navi Mumbai

Working Location

Mahape

Client Location

NA

Skills

Skill

Highest Education

No data available

CERTIFICATION

No data available

Working Language

No data available

JOB DESCRIPTION

Location:

Remote / Hybrid (India preferred)

About the Role:

We are building an enterprise-ready AI agent and AI framework. This role is central to the success of the platform — you'll lead the design, deployment, and scaling of cloud-native infrastructure, enabling smooth operation of the agent across GCP and other cloud providers.

You'll work closely with AI engineers, product managers, and QA leaders to operationalize an LLM-based stack integrated with enterprise tools like Jira, Zephyr, and Selenium.

Key Responsibilities:

  • Design and deploy secure microservice-based architecture (Docker, Kubernetes, API Gateway)
  • Build and manage CI/CD pipelines across cloud environments (GCP, AWS, Azure)
  • Orchestrate cloud-native LLM endpoints (e.g., OpenAI, Claude, PaLM)
  • Integrate external APIs securely (OAuth2 flows with Jira, TestRail, etc.)
  • Manage vector DBs (Pinecone, FAISS, or Weaviate) and inference caching (Redis/in-memory)
  • Set up observability: logging, alerting, audit trails (Cloud Logging, Prometheus, etc.)
  • Implement TLS, JWT auth, secret management (Vault, Secret Manager)
  • Optimize cost and scalability across multi-agent workflows

Required Skills:

  • 3–6 years in cloud infrastructure engineering or DevOps
  • Proven experience with:

o Google Cloud Platform (GCP)

o Kubernetes & Docker

o API gateways (NGINX/Istio/Kong)

  • Familiarity with modern LLM stacks (LangChain, Haystack, OpenAI APIs)
  • Strong understanding of OAuth2, JWT, HTTPS/TLS, role-based access
  • GitOps-style CI/CD (Cloud Build, GitHub Actions, ArgoCD)

Nice to Have:

  • Knowledge of LLMOps or MLOps principles
  • Prior experience with test automation tools (Selenium, Playwright)
  • Background in working with QA or developer productivity tools
  • Contributions to open-source infra tools or AI orchestration frameworks

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