Senior DevOps Engineer
Pune · Senior
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Job description
Job Description
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 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.
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.
ROLES AND RESPONSIBILITIES
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.
Cloud 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.
QUALIFICATIONS & 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 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.
Strong application architecture knowledge to assess whether workloads should be lift-and-shifted, containerized, re-platformed, or deeply modernized.
ABOUT 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 Harmoni.AI 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 www.sonata-software.com.
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