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Cloud / DevOps Engineer
Uk Client
Cloud / DevOps Engineer

Cloud / DevOps Engineer at Uk Client · Remote only · 7 - 10 years · ₹15L - ₹22L / yr · Remote only · Posted 25 Oct 2026

Data Fidelity Pvt Ltd's logo

Cloud / DevOps Engineer

at Uk Client

Agency job
7 - 10 yrs
₹15L - ₹22L / yr
Remote only
Skills
DevOps
Snow flake schema
Windows Azure

SIX-MONTH CONTRACT ONLY JOB: An engineer who prioritises infrastructure-as-code, with Terraform as the core skill, and delivers change through GitHub pipelines rather than manual intervention. Has a DevOps and automation mindset and applies zero-trust and least-privilege principles, designing access, secrets, and identity from the outset. Treats documentation as a key part of the build process and part of the definition of done, not an afterthought. Open and collaborative, building capability within the team so others can run and own what is delivered.

• Azure variant: strong Azure and Kubernetes experience.

• Snowflake variant: strong Snowflake operations experience, working alongside the DataOps team and applying the same infrastructure-as-code-first approach to the Snowflake environment.

 

Expected Skills:

• Infrastructure as Code: Strong hands-on Terraform experience, infrastructure provisioning and automated infrastructure management.

• CI/CD & Automation: GitHub Actions, secure pipeline implementation, multi-environment promotion and deployment automation.

• Security & Identity: Zero-trust principles, least-privilege access, secrets management, OIDC and Workload Identity Federation.

• Enterprise Networking: AKS-to-Snowflake and on-premises connectivity, private endpoints, Kubernetes network access controls and cross-boundary DNS resolution.

• Kubernetes Deployment & Administration: AKS/Kubernetes, Airflow or Dagster deployments, stateful workloads, resource isolation and dynamic worker autoscaling.

• Kubernetes Monitoring & Troubleshooting: Grafana, production issue diagnosis, pod memory leak detection, CPU/memory metrics and cluster bottleneck analysis.

• Snowflake IaC & Access Management: Terraform-based Snowflake provisioning, RBAC, role hierarchy and development, staging and production database permissions.

• Documentation & Ownership: Technical documentation, operational handover, collaborative working and team enablement.

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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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Chennai
3 - 5 yrs
₹10L - ₹20L / yr
skill iconAmazon Web Services (AWS)
skill iconKubernetes
skill iconDocker
CI/CD
Linux administration
+1 more

Role Overview

We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.


Key Responsibilities

  1. AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  2. AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
  3. CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
  4. Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
  5. Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
  6. Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.


Must-Have Skills & Qualifications

  1. 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
  2. AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
  3. Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
  4. Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
  5. Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
  6. CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).


Nice-to-Have Skills

  1. Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
  2. Experience with event-driven messaging systems (Kafka, Redis, or SQS).
  3. Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
  4. AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).
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Shubham Vishwakarma

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