We are seeking a skilled Python DevOps Engineer to join our customer solutions engineering team. This role involves working closely with customers to deploy solutions across global customer deployments.

Our client is an industry-leading AIOps platform that provides real-time actionable insights for managing multi-domain network and application infrastructures.

The platform combines multiple sources of data into a single, easy-to-use platform, enabling IT teams to troubleshoot network issues faster, reduce downtime, and improve MTTR.

Key Responsibilities :

- Collaborate with customers to understand their data, workflow, and analytics requirements.

- Deploy solutions at customers' sites, ensuring they are adequately enabled for use, understanding, and self-serve extensions of platform capabilities.

- Work with the sales team and partners on pre-sales activities.

- Design, develop, and execute plans for proof-of-concept (POC) and lead deployments to completion.

- Improve product features and quality through enhancement proposals and customer reviews.

Requirements :

- At least 2+ years of experience in Python development in a hyper-growth SaaS startup environment.

- 2+ years of experience in customer-facing deployment roles.

- 2+ years of experience with Kubernetes and Docker.

- Bachelor's degree or higher in Computer Science or Information Technology.

- Proficiency in YAML syntax and its usage for configuration and data serialization.

- Experience with software configuration, data serialization, automation, and orchestration using YAML.

- Familiarity with public cloud platforms such as AWS, GCP, and Azure.

- Experience designing SQL queries to extract, validate, and analyze data.

- Understanding of networks, including data center, WAN, SD-WAN, Wi-Fi, DNS/DHCP, load balancing, and other related technologies.

Desirable Skills :

- Exposure to DevOps practices and tools.

- Experience with CI/CD pipelines and automation frameworks.

- Knowledge of containerization and microservices architecture.

- Ability to work with distributed systems and scalability