- cloud infrastructure
- TCP / IP
- DATA Mining
Job Title: Site Reliability Engineer Location: San Diego, CA Duration: Long Term
Job Description: Responsibilities:
Application operations and production support of internal and public facing services within an AWS cloud environment, ensuring availability, resiliency, scalability and performance.
Provision, automate and ensure the production readiness of all new services and features introduced.
Identify areas for operational process improvement and automation. Drive the hands-on development of scripts and tools to automate these processes within our environment.
Increase observability on our platform by implementing robust monitoring and alerting patterns across our services. Develop rich, informative dashboards / reports on our services that provide valuable insight and meaningful alerting to drive down the MTTD and MTTR on platform incidents.
Collaborate and partner with other SRE teams that specialize in areas such as data services, CICD, and platform hosting to inspire changes and ensure optimal end-to-end system performance and resiliency across all back-end services within PlayStation.
Iteratively drive performance and capacity validation analysis for our services. Apply AWS patterns and technologies such as spot instances, dynamic auto-scaling and EKS to optimize resource usage and AWS spend.
Conduct, document and present root cause analysis documents to share incident insights and findings with our broader engineering organization.
Provide rotational on-call support where you’ll respond, detect, triage and resolve production incidents.
Equally adept at software development and systems engineering/operations
Build, deploy, operate and support services at scale
PASSIONATE(!) desire to automate and improve everything including process improvements, standardizing tools and technologies
Excellent troubleshooting skills that span user experience, system, infrastructure, and network (TCP/IP). Ability to zoom in from user error to JVM garbage collection problem to packet loss on the network.
Drive operational and infrastructural requirements that promote availability, reliability, performance and security at all phases of SDLC on a global scale
Customer and peer relationship focused with strong interpersonal and communication skills
Fluency with running distributed services at scale
In depth understanding of Unix/Linux systems internals and networking
Source code (GitHub) and configuration management tools (Ansible, Chef, etc.)
Software development experience in one or more of following: Python, Go or Java
Building and deploying Infrastructure as Code: CloudFormation/Terraform
Building continuous integration and continuous delivery (CICD) pipelines in Jenkins, Spinnaker, or similar
Operating and running Java services/APIs in AWS cloud infrastructure
AWS systems and network protocols (ie: ALB, R53, API-Gateway, TCP/IP, HTTP/HTTPS, DNS)
Configuring, tuning and automating AWS services including Lambda, RDS, DynamoDB and Elasticache.
Container technologies and orchestration (ie: Docker, Kubernetes, EKS, Fargate)
Application monitoring tools: DataDog, CloudWatch, Splunk, Grafana
Data Reporting & Analytics: SQL, MySQL, Oracle, or Big Data
Operating and supporting large scale and/or critical customer-facing production services or applications
BS degree in Computer Science, Software Engineering, or related technical area
3+ years operating and supporting services in production environment at scale