Full job description
InMobi Advertising DSP is a leading advertising platform handling 40 billion ad requests, serving advertiser needs across marketing spectrum. The optimization team builds automated decision systems to scale DSP revenues. Responsibilities include debugging production issues, multitasking, providing design and code reviews, estimating efforts, identifying risks, and understanding broader product implications. Requirements: 7-11 years experience, strong scripting skills in Python and Shell, experience with Cloud platforms (Azure/AWS/GCP), Kubernetes ecosystem, CI/CD, infrastructure automation, networking, Linux container and cluster management. Expertise in Azure services, high throughput microservices, Kubernetes deployment and management, Helm, skaffold, Terraform, Prometheus/Grafana monitoring and alerting. Must champion automation, understand observability and traceability, work in agile teams, have strong problem-solving skills, attention to detail, and be adaptable and self-driven. Location: Bangalore, India.
What you'll do
- Debugging/Troubleshooting and fixing issues in the production environment by working with all stakeholders
- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements
- Provide functional, design, and code reviews in related areas of expertise within team and cross-team
- Estimates efforts, identify risks, devises and meets project schedules
- Rises above detail to see broader issues and implications for whole product/team
Requirements
- 7-11 years of experience
- Strong scripting skills in Python, Shell etc.
- Experience in Cloud (Azure/AWS/GCP), Kubernetes ecosystem, Continuous Integration and Delivery (CI/CD), Infrastructure automation, Automation and Scripting, Networking, Linux container and cluster management
- Expertise in Architecting and Implementing Azure Service Offering, such as Azure VMs, Virtual Machine Scale Sets (VMSS), Azure Load Balancers, SQL Database, Cosmos DB, Azure Functions, Azure Virtual Networks (VNets), Subnets, Azure network settings, DNS settings, security policies, Routing, Azure storage, Azure Active Directory (AD)
- Experience on high throughput microservices
- Expertise in Kubernetes to deploy scale, load balance, and manage Docker containers
- Working knowledge of build automation and building CI/CD pipelines in Kubernetes
- Strong experience in Kubernetes ecosystem - Helm, skaffold
- Expertise in Infrastructure as a code (IaC) e.g., Terraform
- Expertise in configuring the monitoring and alerting tools like Prometheus/Grafana, dashboarding, Alerts setup
- Champion of automation. Must be doing automation daily from dev to deploy to remove any needs of manual intervention & debugging into the system
- Understanding of observability and traceability
- Work in scrums/sprints with engineering teams on a daily basis
- Strong computer fundamentals and problem-solving skills
- Proven performer and team player that enjoys challenging assignments in a high-energy, fast growing and start-up workplace
- Provide good attention to details
- Excited by challenges surrounding the development of highly scalable & distributed system for building audience targeting capabilities
- Agility and ability to adapt quickly to changing requirements and scope and priorities
- Self-starter who can work well with minimal guidance and in fluid environment
Tech stack
PythonShellAzureAWSGCPKubernetesCI/CDTerraformPrometheusGrafanaHelmskaffoldDocker