Senior Cloud Platform / DevOps / SRE Engineer

Location: Pune (Hybrid - 3days office in a week)

Mode: Full time

Must Have:

AWS

Migration (Cloud to cloud or Datacenter to cloud)

Terraform - Infrastructure as Code (IaC)

Experience level: 10+ years

Key Responsibilities

- Lead and support migrations from colo, hosted, legacy, and existing cloud environments into AWS.
- Assess current-state infrastructure, document dependencies, identify risks, and create practical migration, cutover, rollback, and validation plans.
- Map source environments — including networking, IAM, storage, databases, DNS, certificates, security controls, observability, and deployment workflows — into appropriate AWS target architectures.
- Build, maintain, and standardize cloud infrastructure using Terraform or OpenTofu, with awareness of AWS CDK/CloudFormation, Azure Bicep, Pulumi, and other cloud-native IaC tools.
- Operate and improve multi-account AWS environments using AWS Organizations and related governance patterns.
- Help establish a centralized cloud operating model across AWS, with a path toward Azure and GCP.
- Design and support cloud networking, IAM, security, logging, monitoring, backups, disaster recovery, and high availability patterns.
- Build and improve CI/CD pipelines for application and infrastructure deployments.
- Define opinionated best practices for infrastructure automation, CI/CD, observability, reliability, security, and cloud operations.
- Implement monitoring, logging, tracing, alerting, dashboards, and service health indicators so issues are detected quickly and resolved effectively.
- Build automation and self-healing workflows so common production failures can be corrected automatically where possible.
- Participate in production support, incident response, escalation, and on-call processes as needed.
- Partner with engineering teams to containerize legacy applications using Docker and deploy to ECS, EKS,



Kubernetes, or similar platforms.
- Use AI tools to accelerate infrastructure analysis, IaC creation, pipeline development, troubleshooting, documentation, incident response, and operational automation.

Required Qualifications
- 10+ years of experience in DevOps, SRE, cloud infrastructure, platform engineering, systems engineering, or similar roles.
- Strong hands-on experience operating production workloads in AWS.
- Experience migrating infrastructure from colo, data center, hosted, legacy, or existing cloud environments into AWS.
- Experience with cloud-to-cloud migrations, including service mapping, data migration, networking, identity/access, DNS, cutover, rollback, and validation.
- Robust production experience with Terraform or OpenTofu, including modules, remote state, environments, plan/apply workflows, secrets handling, policy checks, and CI/CD integration.
- Experience with AWS networking, including VPCs, subnets, routing, VPNs, load balancers, DNS, certificates, NAT gateways, and security groups.
- Experience with AWS Organizations, IAM, centralized logging, cloud governance, and multi-account patterns.
- Experience building and maintaining CI/CD pipelines for application and infrastructure delivery.
- Experience with observability, including monitoring, logging, alerting, dashboards, metrics, traces, and service health indicators.
- Experience owning or supporting production uptime, including incident response, on-call or escalation workflows, runbooks, alerting,



and post-incident improvement.
- Strong troubleshooting skills across infrastructure, networking, application, and cloud layers.
- Demonstrated use of AI tools in infrastructure, DevOps, SRE, or software delivery workflows.
- Strong communication skills and ability to work across multiple engineering teams and business units.

Preferred Qualifications
- Experience with Azure and/or GCP in addition to AWS.
- Direct experience migrating workloads from Azure to AWS, GCP to AWS, or other cloud providers into AWS.
- Experience with Azure Bicep, AWS CDK/CloudFormation, Pulumi, or other infrastructure-as-code approaches.
- Experience with AWS Control Tower, IAM Identity Center, CloudTrail, Config, GuardDuty, Security Hub, or similar governance and security services.
- Experience with Azure management groups, subscriptions, policies, identity, networking, and governance patterns.
- Experience with GCP organizations, folders, projects, IAM, networking, and organization policies.
- Experience with Docker, ECS, EKS, Kubernetes, Helm, or other container platforms.
- Experience containerizing legacy applications and moving them toward automated deployment models.
- Experience with GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Argo CD, CircleCI, or similar CI/CD platforms.
- Experience with Datadog, New Relic, Grafana, Prometheus, CloudWatch, OpenTelemetry, ELK/OpenSearch, Splunk, or similar observability platforms.
- Experience with automated remediation, self-healing infrastructure, auto-scaling, event-driven operations, and runbook automation.
- Experience with policy-as-code, security-as-code, backup, disaster recovery, high availability, and compliance automation.
- Enough application architecture knowledge to assess whether an application should be lifted-and-shifted, containerized, re-platformed, or more deeply modernized.

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