Cloud DevOps Engineer

8 years

0 Lacs

india

Posted:18 hours ago| Platform: Linkedin logo

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Skills Required

devops technology ai security engineering data stack aws deployment automation management optimization kubernetes microservices terraform support sds opentelemetry scalability efficiency monitoring saml model documentation architecture vpc iam code helm autoscaling networking linux containerization docker scripting programming python gcp inference siem communication collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role


Cloud DevOps Engineer

hands-on platform engineering role

You will own the secure deployment lifecycle end-to-end—from infrastructure automation and certificate management to observability, performance optimization, and CI/CD reliability.


What You’ll Work On


Cloud & Kubernetes Infrastructure
  • Deploy and manage microservices using

    Kubernetes (EKS/GKE), Terraform, and Helm

  • Operate data plane and control plane workloads across AWS and multi-cloud
  • Support new regional deployments as the platform scales globally
Envoy Deployment & Certificate Management
  • Deploy Envoy proxies (sidecars, forward/explicit proxies, MITM use cases)
  • Manage

    PKI, certificate rotation, and lifecycle automation

  • Work with

    SDS/xDS integrations

    and customer-specific deployment patterns
Observability & OpenSearch
  • Configure and troubleshoot

    OpenTelemetry (OTEL) collectors

  • Manage

    OpenSearch indices, shards, mappings, ingestion pipelines (OSIS)

  • Optimize for resiliency, scalability, performance, and cost efficiency
DevOps Automation & CI/CD
  • Build and maintain

    CI/CD pipelines

    for platform services
  • Implement

    canary and blue-green deployments

  • Manage secrets securely using

    KMS / Secrets Manager

Security, Monitoring & Operations
  • Review and strengthen cloud security policies and best practices
  • Integrate customer identity providers (

    SAML / OIDC

    )
  • Set up monitoring and alerting using

    CloudWatch

  • Participate in incident response and post-mortems
  • Collaborate with cloud provider support when required
  • Support AI/LLM model deployment workflows
Documentation & Environment Management
  • Maintain architecture documentation, runbooks, and SOPs
  • Manage

    dev / staging / production

    environments and upgrades


Required Qualifications


  • 6–8+ years

    of hands-on experience in

    DevOps / SRE / Cloud Engineering

  • Strong AWS expertise:

    VPC, IAM, EC2/EKS/ECS, CloudWatch, ALB/NLB, Route53, ACM, OpenSearch

  • Hands-on experience deploying

    Envoy proxy

  • Deep understanding of

    TLS, PKI, certificate chains, SDS/xDS

  • Experience with

    OpenTelemetry, OpenSearch, OSIS pipelines

  • Strong Infrastructure-as-Code experience (

    Terraform, Helm, CloudFormation

    )
  • Solid Kubernetes, microservices, autoscaling, and networking knowledge
  • Experience building and maintaining

    CI/CD pipelines

  • Strong Linux, networking, DNS, and containerization (Docker) skills
  • Scripting or programming in

    Python, Bash, or Go


Preferred Experience


  • Multi-region or multi-cloud deployments (

    AWS, GCP, Azure

    )
  • Exposure to

    AI/LLM infrastructure

    (model hosting, inference, GPU workflows)
  • Experience with

    security-focused observability

    , SIEM, or DLP platforms
  • Understanding of

    Zero Trust architectures

    and identity federation


Soft Skills


  • Strong ownership mindset and execution skills
  • Clear communication and documentation abilities
  • Comfortable working independently in a fast-paced startup environment
  • Collaborative approach with engineering, security, and customer teams


We’re grateful to everyone who takes the time to apply. While we’re unable to respond to every applicant, we’ll be in touch directly with those whose experience aligns closely with the role.

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