Your Requirements :

- Take ownership of the development and advancement of the roadmap for the engineering platform.

- Design, architect and evolve multiple platform systems and provide hands-on technical leadership and mentorship to your team.

- Provide strong technical leadership in cloud/network architecture and be able to work across multiple cloud providers easily.

- Work on top of multiple distributed systems and opensource datastores like solrCloud, ElasticSearch, PostgreSQL.

- Work closely with internal teams using your platform and help them deploy their services on the Cloud using Kubernetes and Docker.

- Develop & evolve infrastructure automation using tools like Terraform, Ansible, and provision & maintain multiple environments.

- Setup and reiterate strong engineering & DevOps practices (CI/CD) using tools like Jenkins.

- Make sure the infrastructure is able to handle high-throughput, low-latency scale requirements.

- Be a hands-on leader in production, minimizing downtimes, optimizing for costs and setting up 360-degree observability for site reliability teams.

- Hire, build and nurture your team and create a culture of high-performance and quality engineering practice.

- Engage with external/client-side technical teams when necessary and manage the relationship.

You would have :

- 10+ years of experience working on systems & platforms, Linux, OS, Networking, AWS, Web Services.

- 5+ years of experience in building and managing teams.

- A mind for systems. You can appreciate a well-designed architecture. You believe simplicity is the ultimate sophistication.

- Strong experience in one programming language like Python, Go, Java.

- Strong experience in the entire stack of at least one cloud provider.

- Exceptional understanding of the problems in deploying and maintaining distributed systems.

- Experience dealing with large volumes of traffic and data in production and have the experience to performance-tune different types of datastores.

- Experience in building microservices using tools like Kubernetes, and Docker.

- Ideally been part of a startup building large-scale systems on the cloud.

- Load balancer dashboards in your dreams. You can almost anticipate when systems will go down.