Site Reliability Lead Engineer
4 weeks ago
Responsibilities :
- 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 like.
- Orchestrating and managing with K8S and the like.
- 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.
- 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 in gathering metrics across distributed systems (instances/container) and generating automated notifications, and reports.
- Prowess in analyzing App bottlenecks, and performance degradation, and implementing automated processes/tools to detect such anomalies.
- Good understanding and 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.
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