What you will do:

• Maintain services once they are live by measuring and monitoring availability, latency, and overall system reliability.
• Work closely with team members to ensure best practices and strategic goals are incorporated into development work.
• Collaborate with other engineering teams to identify and anticipate changing requirements and opportunities to improve the development environment.
• Monitoring at scale with VictoriaMetrics and the likes Orchestrating and managing with K8S and the likes Implementing best practices, challenging the status quo, and tab on industry and technical trends, changes, and developments to ensure the team is always striving for best-in-class work.
• Manage capacity, build security into every layer, and reduce cost
• Implement secure networking, key management, user management, access management, process management, and image management.
• Effectively lead and manage team deliverable (short/long term) project planning and coaching, quarterly reviews, participation in the selection process for new hires, and technical and non-technical guidance to the team.

What makes you a great fit:

• Proven experience in handling large infrastructure and distributed systems like Yarn, Kubernetes, Elasticsearch, Kafka etc.
• Familiarity with Python-related technologies and frameworks like Falcon, Django, or Pyramid.
• Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc.) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc.)
• Familiarity with the cloud computing infrastructure, preferably Azure
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Source code management and Implementation of security best practices.
• Deep understanding of modern software architectures, including load-balancing, queueing, caching, distributed systems failure modes generally, microservices, and big data technologies
• Know-how of gathering metrics across distributed systems (instances/container) & generating automated notifications, and reports.
• Prowess in analyzing App bottlenecks, and performance degradation, and implementing automated processes/tools to detect such anomalies.
• Good understanding & implementation experience using 12-factor App principles.
• 8 - 10 years of Experience on the AWS/Azure platform.
• Excellent programming (Python, Go, Ruby, or preferred scripting languages) and automation skills
• Deep understanding of container orchestration technologies - Kubernetes
• Should have had prior experience in migrating high throughput services to Kubernetes.
• Expertise in any CI/CD tools build, artifact, packaging, and service discovery management tools. Gitops preferred
• Expertise in skillsets for centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus/VictoriaMetrics, and Grafana
• Great communication, interpersonal, and teamwork skills.
• Experience with AWS/Azure cost explorer, billing analysis, and various cost optimization techniques.
• Awareness of Cloud Security concepts
• Awareness of Information Security concepts and Best Practices
• AWS/Azure cloud certification preferred
• Certification in Kubernetes Administrator (CKA).
• Certification in Kubernetes Application Developer (CKAD)
• Experience with configuration management tools and strong code analysis skills in Python
• Experience in working with APM-based tools like New Relic