Senior Cloud Platform / DevOps / SRE Engineer
Pune
7+
AI-Driven Infrastructure Modernization

About the Role
We are hiring a Senior Cloud Platform / DevOps / SRE Engineer to help migrate, modernize, operate, and improve infrastructure across a portfolio of businesses. This role will focus first on AWS, with future expansion into Azure and GCP.
The ideal candidate has experience moving legacy infrastructure from colo, hosted, data center, or existing cloud environments into AWS. This includes both colo-to-cloud and cloud-to-cloud migrations. Early work may include lift-and-shift migrations; over time, this role will help standardize, automate, secure, observe, and modernize those environments.
This is also a production reliability role. We expect this team to support production uptime, participate in on-call or escalation processes, and help ensure our infrastructure and deployment practices support reliable customer-facing systems.
This is an AI-first infrastructure role. We expect the right person to use AI tools to accelerate infrastructure analysis, Terraform/OpenTofu development, migration planning, CI/CD improvement, troubleshooting, documentation, automation, and operational remediation.
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

- 7+ 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.
- Strong 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.
- Solid 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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