Job
Description
You will be working as a Site Reliability Engineer on Qualys Cloud Platform & Middleware technologies. Your main tasks will include combining software development and systems engineering skills to build and run scalable, distributed, and fault-tolerant systems. The primary responsibilities of this role are as follows: - Co-develop and participate in the full lifecycle development of cloud platform services, from inception and design to 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 the 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 participating in the testing/verification process. - Ensure that the cloud platform technologies are properly maintained by measuring and monitoring availability, latency, performance, and system health. - Advise 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. As a qualified candidate, you should meet the following requirements: - 3 years of relevant experience in running distributed systems at scale in production. - Expertise in one of the programming languages: 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, 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. - Managing large scale deployments of message-oriented middleware such as Kafka. - Managing large scale deployments of RDBMS systems such as Oracle. - Managing large scale deployments of NoSQL databases such as Cassandra. - Managing large scale deployments of in-memory caching using Redis, Memcached, etc. - Container and orchestration technologies such as Docker, Kubernetes, etc. - Monitoring tools such as Graphite, Grafana, and Prometheus. - Hashicorp technologies such as Consul, Vault, Terraform, and Vagrant. - 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.,
