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Senior DevOps Engineer

Sonata Software

Job Title- Senior DevOps Engineer Location- Pune | Hybrid Experience- 6–8 Years Primary Skills- Linux Programming, AWS, Terraform/OpenTofu, Cloud Migration, DevOps/SRE Focus Area- 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 is an AI-first infrastructure role . The ideal candidate should use AI tools to accelerate infrastructure analysis, Terraform/OpenTofu development, migration planning, CI/CD improvement, troubleshooting, documentation, automation, and operational remediation.

About Sonata Software

SONATA SOFTWARE Sonata Software is an AI-first modernization engineering company that helps enterprises transform legacy systems into intelligent, scalable business platforms.

Powered by its Platformation™ framework and platform , Sonata delivers AI-led modernization across cloud, data, AI, Dynamics, test automation, and managed services.

Headquartered in Bengaluru, India, Sonata has more than $1.2 billion in revenue and 6,400+ AI engineers supporting global delivery across regions including the US, UK, India, Malaysia, Mexico, Australia, DACH, and the Nordics.

With deep partnerships across Microsoft, AWS, Salesforce, and Snowflake , Sonata helps Fortune 500 enterprises accelerate innovation, improve efficiency, and drive sustainable growth.

For more information, please visit

Responsibilities

  • 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 , requiring support for production uptime, incident response, escalation processes, and reliable infrastructure and deployment practices.
  • Cloud Migration & Modernization Lead and support migrations from colo, hosted, legacy, and existing cloud environments into AWS .
  • Assess current-state infrastructure, document dependencies, identify risks, and create 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.
  • Support both colo-to-cloud and cloud-to-cloud migrations .
  • Help determine whether applications should be lift-and-shifted, containerized, re-platformed, or more deeply modernized.
  • Infrastructure & Platform Engineering Build, maintain, and standardize cloud infrastructure using Terraform or OpenTofu .
  • 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 solutions.
  • Define best practices for infrastructure automation, CI/CD, observability, reliability, security, and cloud operations.
  • Infrastructure as Code & Automation Develop reusable and standardized infrastructure using Terraform/OpenTofu modules.
  • Manage remote state, environments, plan/apply workflows, secrets handling, policy checks, and CI/CD integration.
  • Build automation and self-healing workflows to automatically resolve common production failures where possible.
  • Implement policy-as-code, security-as-code, and compliance automation where required.
  • CI/CD & Deployment Build and improve CI/CD pipelines for application and infrastructure deployments.
  • Automate infrastructure provisioning, application deployments, testing, and release processes.
  • Work with platforms such as GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Argo CD, CircleCI , or similar technologies.
  • Partner with engineering teams to containerize legacy applications using Docker and deploy them on ECS, EKS, Kubernetes, or similar platforms.
  • Observability & Reliability Implement monitoring, logging, tracing, alerting, dashboards, and service health indicators.
  • Ensure infrastructure and application issues are detected quickly and resolved effectively.
  • Support production uptime through incident response, escalation, on-call processes, runbooks, and post-incident improvements.
  • Implement automated remediation, auto-scaling, event-driven operations, and runbook automation.
  • Troubleshoot issues across infrastructure, networking, application, and cloud layers.
  • AI-First Infrastructure Leverage AI tools to accelerate infrastructure analysis, Terraform/OpenTofu development, migration planning, CI/CD improvement, troubleshooting, documentation, incident response, and operational automation.
  • Identify opportunities to use AI to improve infrastructure engineering productivity and operational efficiency.

Requirements

  • & REQUIRED SKILLS 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.
  • Strong understanding of Linux systems and scripting/programming .
  • 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 monitoring, logging, alerting, dashboards, metrics, traces, and service health indicators.
  • Experience supporting production uptime, incident response, on-call or escalation workflows, runbooks, and post-incident improvements.
  • 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.
  • MANDATORY SKILLS Linux Programming / Scripting AWS Terraform / OpenTofu Cloud Migration DevOps / SRE Production AWS infrastructure management AWS networking — VPC, subnets, routing, VPN, load balancers, DNS, NAT, security groups AWS IAM and AWS Organizations Infrastructure as Code CI/CD Monitoring, logging, alerting, and observability Production support and incident management Cloud-to-cloud and/or data center-to-cloud migration experience Strong troubleshooting and problem-solving skills AI-assisted development / AI tools for infrastructure and DevOps workflows GOOD TO HAVE SKILLS Experience with Azure and/or GCP in addition to AWS.
  • Direct experience migrating workloads from Azure to AWS or GCP to AWS .
  • Experience with Azure Bicep, AWS CDK/CloudFormation, Pulumi , or other IaC technologies.
  • 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.
  • Experience with GCP organizations, folders, projects, IAM, networking, and organization policies.
  • Experience with Docker, ECS, EKS, Kubernetes, and Helm .
  • Experience containerizing legacy applications and transitioning them to automated deployment models.
  • Experience with GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Argo CD, or CircleCI .
  • Experience with Datadog, New Relic, Grafana, Prometheus, CloudWatch, OpenTelemetry, ELK/OpenSearch, or Splunk .
  • Experience with policy-as-code, security-as-code, backup, disaster recovery, high availability, and compliance automation.

Preferred

  • Experience with automated remediation, self-healing infrastructure, auto-scaling, event-driven operations, and runbook automation.
  • Strong application architecture knowledge to assess whether workloads should be lift-and-shifted, containerized, re-platformed, or deeply modernized.