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Site Reliability Engineer, Cloud Platform

Company: Qualys
Location: Raleigh
Posted on: August 16, 2019

Job Description:

DescriptionWe are seeking a highly motivated and talented Site Reliability Engineer to work on Qualys' Cloud Platform & Middleware technologies. Working with a team of engineers and architects, you will combine software development and systems engineering skills to build and run scalable, distributed and fault-tolerant systems.

The ideal candidate will write software to optimize day to day work through better automation, monitoring, alerting, testing and deployment.Responsibilities


  • Co-develop and participate in the full lifecycle development of cloud platform services from inception and design, deployment, operation and improvement by applying scientific principles.
  • Increase the effectiveness, reliability and performance of cloud platform technologies by identifying and measuring key indicators, making changes to the production systems in an automated way and evaluating the results.
  • Support cloud platform team before the technologies are pushed for production release through activities such as system design, capacity planning, automation of key deployments, engaging in building a strategy for production monitoring and alerting and participate in testing/verification process.
  • Ensure that the cloud platform technologies are maintained properly by measuring and monitoring availability, latency, performance and system health.
  • Advice the cloud platform team to improve the reliability of the systems in production and scale them based on need.
  • Participate in the development process by supporting new features, services, releases and hold an ownership mindset for the cloud platform technologies
  • Develop tools and automate the process for achieving large scale provisioning and deployment of cloud platform technologies
  • Participate in on-call rotation for cloud platform technologies. At times of incidents, lead incident response and be part of writing detailed postmortem analysis reports which are brutally honest with no-blame.
  • Propose improvements and drive efficiencies in systems and processes related to capacity planning, configuration management, scaling services, performance tuning, monitoring, alerting and root cause analysis


    Requirements


    • 2+ years of relevant experience in running distributed systems at scale in production.
    • Expertise in one of the programming language: Java, Python or Go.
    • Proficient in writing bash scripts
    • Good understanding of SQL and NoSQL systems
    • Good understanding of systems programming (network stack, file system, OS services)
    • Understanding of network elements such as firewalls, load balancers, DNS, NAT, TLS/SSL, VLANs etc
    • Skilled in identifying performance bottlenecks, identifying anomalous system behavior, and determining the root cause of incidents.
    • Knowledge of JVM concepts like garbage collection, heap, stack, profiling, class loading, etc.
    • Knowledge of best practices related to security, performance, high-availability, and disaster recovery.
    • Demonstrate a proven record of handling production issues, planning escalation procedures, conducting post-mortems, impact analysis, risk assessments and other related procedures.
    • Able to drive results and set priorities independently
    • BS/MS degree in Computer Science, Applied Math or related field


      Bonus Points if you have:




      • Experience with managing large scale deployments of search engines like Elasticsearch
      • Experience with managing large scale deployments of message-oriented middleware such as Kafka
      • Experience with managing large scale deployments of RDBMS systems such as oracle
      • Experience with managing large scale deployments of NoSQL databases such as Cassandra
      • Experience with managing large scale deployments of In-memory caching using Redis, Memcached, etc.
      • Experience with container and orchestration technologies such as Docker, Kubernetes etc
      • Experience with monitoring tools such as Graphite, Grafana and Prometheus
      • Experience with Hashicorp technologies such as Consul, Vault, Terraform and Vagrant
      • Experience with configuration management tools such as Chef, Puppet or Ansible
      • In-depth experience with continuous integration and continuous deployment pipelines
      • Exposure to Maven, Ant or Gradle for builds

Keywords: Qualys, Raleigh , Site Reliability Engineer, Cloud Platform, Professions , Raleigh, North Carolina

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