Site Reliability Engineer

1 month ago

Bangalore, Karnataka, India Gethyr Full time

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.
Requirements :
  • 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.
Mandatory Skills :
  • 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.
Good to have :
  • 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.

(ref:hirist.tech)

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