Associate Principal in Site Reliability Engineering enhancing availability and performance of OCC’s Ovation platform. Collaborating on automation and mentoring junior team members in cloud technologies.
Responsibilities
Provide strong support for the availability and performance of OCC’s next generation Ovation platform.
Enhance system reliability and developer productivity through automation.
Provide guidance to development, platform teams, in the areas of cloud technologies, application profiling and monitoring, logging, metrics collection and analysis.
Collaborate with development, operations and infrastructure teams to ensure availability of services, and to work through implementation issues
Develop automation for incident response and to prevent problem recurrence
Create and enhance runbooks to respond to service outages or degradations
Assess the production readiness of services
Define and track operational metrics for production performance, reliability, scalability and availability
Architect, develop and maintain shared services and tools to improve reliability and reduce toil across the organization
Contribute to the team’s continuous improvement through research, retrospectives, discussion groups and code reviews
Influences timelines and expectations amongst the team
Provide knowledge by guiding and mentoring junior members, and preparing stories for the sprint backlog
Requirements
[Required] Experience with maintaining and troubleshooting large-scale distributed systems
[Required] Experience with Agile / Scrum methodology
[Required] Able to succeed in fast-paced environment with frequent changes
[Required] Comfortable communicating with both technical and non-technical audiences
[Required] Strong documentation skills
[Required] Analytical problem-solving approach
[Required] Self-starter – takes the initiative to research, learn and deliver. Anticipates the play
[Required] Team player – humble, collaborative, and focused on making sure the entire team succeeds
[Required] Experience managing infrastructure in public cloud environments like AWS (preferred), Azure or GCP
[Required] Experience with AIOps and predictive analysis for anomaly detection, forecasting system capacity using monitoring and alerting tools like Splunk, AppDynamics, Datadog, StackDriver, Sysdig, Prometheus or Grafana
[Required] Programming/scripting experience in languages like Java, Bash, Python or Go
[Required] Experience with distributed messaging systems like Kafka, RabbitMQ, or ActiveMQ
[Required] Experience with container orchestration systems like Kubernetes, Mesos, Docker Swarm or Rancher
[Required] Experience with using Continuous Integration and Continuous Delivery (CI/CD) tools like Jenkins, Travis, Harness, Appveyor, CodeBuild or CodePipeline
[Required] Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, or even creating and maintaining AI workloads.
[Required] Basic exposure to Chaos Engineering tools like, Gremlin, Chaos Monkey, Harness Chaos Engineering, or cloud-native fault injection services like AWS FIS.
[Required] Bachelor’s or Master’s Degrees in Computer Science, Information Systems or other related field, or equivalent work experience
[Required] Minimum of 4+ years of experience in Site Reliability Engineering / DevOps
Benefits
A hybrid work environment, up to 2 days per week of remote work
Tuition Reimbursement to support your continued education
Student Loan Repayment Assistance
Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
Generous PTO and Parental leave
401k Employer Match
Competitive health benefits including medical, dental and vision
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