Job Description: DevOps Lead
Role Summary
As a DevOps Lead you will manage infrastructure, CI/CD pipelines, automation, and monitoring for a media workflow platform that handles real-time messaging, .NET backends, SQL Server, and integrations with SignalR and REST APIs.
Core Responsibilities
- DevOps and SRE engineer
- Experience in Migration from AWS to Azure or Multi cloud work experience
- Experience working in AWS VPC,IAM,ELB (Network and application load balancer),RDS,App service etc
- Experience working in AZure (Iaas and PAAS) services virtual network, azure firewall,VPN,RBAC and bastion host, VM's , App service, AKS ,ACR azure functions etc)
- Experience working in managing and architecting microservice infrastructure
- Experience working in Docker and Kubernetes
- Experience working in IAC tool terraform
- Experience in DevOps CI/CD tools Gitlab,AzureDevops,Github etc
- Experience in scripting BASH shell ,powershell python etc
- Experience in monitoring & Observability tools Dynatrace(preferred),New Relic etc
- Experience working in web servers IIS (preferred), Apache ,Ngnix and ssl certs etc
Required Technical Skills
- Proficient scripting in Python, Bash, PowerShell, or equivalent
- Deep experience with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, or CircleCI
- Strong knowledge of IaC tools: Terraform, Ansible, Chef, or CloudFormation
- Containerization & orchestration: Docker, Kubernetes or OpenShift
- Monitoring/logging skills: Prometheus, Grafana, ELK Stack, Datadog, Splunk
- Cloud platform proficiency: AWS, Azure, or GCP (media workload hosting preferable)
- Hands-on with Windows infrastructure: IIS setup, SQL Server management, and integration with .NET services.
- Familiarity with supporting real-time services (SignalR hubs), REST APIs, and Windows Services in production.
- Experience working with SQL Server including schema design, performance tuning, and backups.
Preferred Experience
- Extensive experience in supporting and optimizing media workflow platforms.
- Familiarity with cloud-native architectures and microservices.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Educational Qualification
- Experience working in cross-functional teams and collaborating effectively with different stakeholders.
- Strong problem-solving and analytical skills.
- Excellent communication skills to document and present technical concepts clearly.
- Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.
