Reliability Systems Engineer
1 week ago
About the Role:
At Watson Search Partner, we're seeking a skilled Reliability Systems Engineer to join our team. This role combines engineering expertise with a drive to improve existing systems and processes, developing novel solutions to evolving challenges that impact reliability, performance, and availability of critical platform services and applications. Our ideal candidate will build solutions to enhance the reliability posture of all critical platform services and applications, focusing on uptime, availability, performance, and stability of services and platform, as well as automating repetitive work.
The successful candidate will collaborate with a cross-functional team to develop real-world solutions and positive user experiences at every interaction. They will design and deliver cloud-native infrastructure solutions on top of Public Cloud or similar private cloud, with a focus on 360-reliability posture to improve reliability, quality, and performance of platform services and applications/microservices. Additionally, they will measure and optimize system performance, push our capabilities forward, and innovate to continually improve.
Responsibilities:
- Build software and systems to manage platform infrastructure and applications by using one or more programming languages (e.g., Go, Python, Java)
- Employ observability tools and methodology (e.g., logging, metrics, tracing) for highly available web services
- Design and deliver cloud-native infrastructure solutions on top of Public Cloud or similar private cloud
- Ability/Experience with designing and managing large-scale complex cloud-based infrastructure and applications hosted on them
- Incident response and management in on-call rotation
- Focus on 360-reliability posture to improve reliability, quality, and performance of platform services and applications/microservices
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
- Understanding on reliability and resilience framework
- A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
Requirements:
- Bachelor's or Master's degree in Computer Science/Information Technology, with 1 to 12 years of relevant industry experience
- Extensive coding experience in any one programming language like Python/Java/Go
- Ability to work with complex business flows and dealing with huge amounts of data
- Strong knowledge of OS (Linux/Unix preferably) and N/w topologies
- Full-stack troubleshooting skills across network, application, management fabric, and distributed services layers
- Drive efficiencies through software improvement and root cause analysis resulting in service delivery, maturity, and scalability
- Familiarity with hybrid, public, and private cloud deployments and environments
- Experience with cloud-agnostic configuration management frameworks for constructs like IaaC, Config Managements, Deployments etc
- Awareness of containerization technologies (Docker, Kubernetes, etc)
- Sound knowledge on Observability tools and APMs
- Experience in Service Tiering and SLO/SLIs
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