Site Reliability Engineer, Devops Job in Qualys, Inc.

Description

Description

We are seeking a highly motivated and talentedSite Reliability Engineer to work on a comprehensive suite of technologies which make up our DevOps toolchain. The DevOps team at Qualys is responsible for building and maintaining our DevOps toolchain which is then used by all product and service teams to enable their build, continuous integration, release management, continuous delivery, infrastructure provisioning, configuration management, secrets management, observability, container orchestration and service mesh efforts.

Working with a very strong team of DevOps engineers and architects, you will combine software development and systems engineering skills to build and run distributed, scalable and highly reliable systems. The ideal candidate will write software to optimizetheirday to day work to more efficiently manage our DevOps toolchain deployed across our 100+ platforms.

Responsibilities

• Co-develop and participate in the full lifecycle developmentand operationofthe QualysDevOpstoolchain
• Increase the effectiveness, reliability and performance oftheDevOpstoolchain by identifying and measuring key indicators,and thenmakingany necessary changes to systems in an automatedmanner
• SupporttheDevOps team before releasesthrough activities such as capacity planning,building deploymentautomation, building a strategy for monitoring and alerting,and participatingin the testing/verification process
• Ensure that the DevOps technologies are maintained properly by measuring and monitoring availability, latency, performance and system health
• Participate in the development process by supporting new featuresandreleaseswithan ownership mindset
• Develop tools and automate the process for achieving large scale provisioning and deployment of DevOps technologies.
• Participate in on-call rotation for DevOps technologies. At times of incidents, lead incident response and be part of writing detailed no-blamepostmortem analysis reportsso were continually improving and growing
• 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

• 3+ years of relevant experience in running distributed systems at scale.
• Expertise in one of theprogramminglanguages: 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, highavailability and disaster recovery.
• Demonstrate a proven record of handling issues, planning escalation procedures, conducting post-mortems, impact analysis, risk assessments and other related procedures.
• Able to drive results and set priorities independently

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 container and orchestration technologies such as Docker, Kubernetes,etc.
• Experience with monitoring tools such as Graphite, Grafana and Prometheus
• Experience withHashiCorptechnologies such as Consul, Vault, Terraform and Vagrant
• Experience with configuration management tools such as Ansible, Puppetor Chef
• In-depth experience with continuous integration and continuous deployment pipelines
• Exposure to Maven, Ant or Gradle for builds