Helping to build and infrastructure to facilitate rapid service deployments
Documenting findings and recommendations for improvement
Maintaining and enhancing deployment tools and methodologies;
Creating repeatable, efficient, and scalable artifact deployment pipelines
Making recommendations to, and interfacing with engineering to ensure 100% application uptime
Monitor the SaaS environment and work with QA, Developers, Ops to identify and solve problems
Ensure that failover mechanisms are in place and are working correctly
Responding to and resolving technical emergencies
Unsere Erwartungen an dich
First and foremost, you have strong troubleshooting and problem resolution skills. You work well under pressure and have strong written and verbal communications skills. You pride yourself in being a self-starter who leads by example and has experience working in a rapidly changing environment. You also have:
Availability for occasional on-call after-hours support
Minimum of a combined 3+ years of Site Reliability, DevOps, and/or Software Development experience, ideally in a growth-stage environment
Experience operating within, and supporting, complex SaaS production or revenue-critical 24/7 web services environments
Must have experience developing and operationalizing system installations and upgrades
Strong Experience with Unix/Linux system administration especially in RedHat Linux (CentOS)
Experience running and administering services in AWS or other cloud platforms (Azure, GCP)
Significant experience with one or more scripting/coding languages, ideally with Terraform or Python
Experience with big data platform engineering
Experience with scaling and operationalizing distributed data stores, file systems, and services (Kafka, Elasticsearch, etc); familiarity with Lamdba architecture a big plus
Experience with virtualization and containerization platforms (Docker), container orchestration tools (Kubernetes) and aspects of Kubernetes to facilitate ease of delivery (Istio/Helm/Kube2Iam)
Experience programming in Java or a similar language.
Experience with storage optimizations and management.
Minimum of a Bachelors degree in CSE, EE, CSM, or related technical discipline; MS degree desired
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