DevOps

Ascendion Engineering

Pune District

On-site

INR 1,500,000 - 3,500,000

Full time

14 days+

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Job summary

Ascendion is seeking a Senior DevOps Engineer (Cloud-Native / Multi-Cloud) to own Kubernetes platforms, CI/CD pipelines, and reliability operations across GCP, Azure, and AWS. You will maintain scalable production workloads and implement secure, observable systems, including ML/data platforms.

The role emphasizes cloud-native infrastructure, strong Kubernetes expertise, and collaboration with data teams, with opportunities to work on cutting-edge AI-enabled engineering initiatives.

Qualifications

  • 3+ years hands-on Kubernetes experience in production
  • 3+ years building multi-cloud infrastructure with Terraform
  • 3+ years designing and maintaining CI/CD pipelines at scale
  • Strong SRE mindset including incident response and reliability ownership
  • Experience with Databricks and/or Vertex AI is a plus
  • Familiarity with security best practices: IAM, secrets management, compliance

Responsibilities

  • Design, build, and operate Kubernetes clusters (GKE, AKS, EKS) including networking, RBAC, autoscaling, GitOps
  • Manage multi-cloud infrastructure across GCP, Azure, and AWS using Terraform
  • Build and maintain end-to-end CI/CD pipelines via GitHub, Bitbucket, and Azure DevOps
  • Own monitoring and observability stacks with Prometheus and Grafana
  • Handle IAM, secrets management, security controls, and compliance requirements
  • Support Databricks and Vertex AI cluster operations for data and ML workloads

Skills

Kubernetes
Terraform
CI/CD pipelines
Observability
Security best practices
Multi-cloud

Tools

Databricks
Vertex AI
GitHub
Bitbucket
Azure DevOps

Job description

About Ascendion

Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

  • Build the coolest tech for world's leading brands
  • Solve complex problems - and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

This is a senior DevOps role focused on cloud-native infrastructure across GCP, Azure, and AWS. You'll own Kubernetes platforms, CI/CD pipelines, and reliability operations - keeping production workloads fast, secure, and scalable. If you like working across the full stack of modern infra (including ML/data platforms), this one's for you.

Job Title

DevOps Engineer (Cloud-Native / Multi-Cloud)

Key Responsibilities
  • Design, build, and operate Kubernetes clusters (GKE, AKS, EKS) - networking, RBAC, autoscaling, GitOps, and container lifecycle
  • Manage multi-cloud infrastructure across GCP, Azure, and AWS using Terraform (modules, state, environments)
  • Build and maintain end-to-end CI/CD pipelines via Bitbucket, GitHub, and Azure DevOps
  • Own monitoring and observability stacks - Prometheus, Grafana, logging, and alerting
  • Handle IAM, secrets management, security controls, and compliance requirements
  • Support Databricks and Vertex AI cluster operations for data and ML workloads
Minimum Qualifications
  • 3+ years of hands-on Kubernetes experience (GKE, AKS, or EKS) in production environments
  • 3+ years building multi-cloud infrastructure with Terraform
  • 3+ years designing and maintaining CI/CD pipelines at scale
  • Solid SRE mindset - incident response, debugging, and reliability ownership
  • Experience with Azure Databricks and/or Vertex AI a strong plus
  • Familiarity with security best practices: IAM, secrets management, compliance
Location

Pune

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