Remote Site Reliability Engineer
Aurora Labs
πRemote - Worldwide
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Job highlights
Summary
Join Aurora Labs as a Reliability Engineer to help ensure the smooth operation of critical systems for their blockchain network. The role involves both site reliability (80%) and software engineering (20%), with responsibilities including ensuring high availability, automating configuration and maintenance, optimizing latency and throughput, and working on various software engineering projects.
Requirements
- Strong emphasis on SRE as an engineering subject area, with proficiency in Golang
- Successful track-record and proven experience as a backend internet services software developer
- Knowledge of SDLC, including continuous integration and testing methodologies
- Understanding of base internet infrastructure services including DNS, HTTP, server virtualization, server monitoring in critical, large scale distributed systems
- Understanding of SRE principals, including monitoring, alerting, error budgets, fault analysis, and other common reliability engineering concepts
- Excellent verbal and written communication skills in English
Responsibilities
- Ensuring high availability and failure tolerance of our infrastructure
- Automating configuration and maintenance of software components such as K8s, NATS, Influxdb, Postgres, Cloudflare using e.g. Ansible, Terraform, Helm and kubernetes operators
- Design and implementation of cloud-agnostic solutions without exclusively relying on specific cloud vendors
- Validator and RPC nodes management automation
- Optimizing the latency and throughput of the pub-sub infrastructure
- Incident management, monitoring, distributed tracing and recovery automation
Preferred Qualifications
- Experience with development within Kubernetes ecosystem, including operator framework, controllers and CRDs
- Experience with streaming and pubsub systems such as NATS, Apache Kafka, Apache Pulsar
- Hardware bootstrap and associated security
- Structured or unstructured storage and caching
- Automating operations processes via services and tools
- Configuration management and fleet orchestration via Puppet, Chef, Ansible, or others
- Cloud Services (AWS S3/EC2/CloudFront or equivalent)
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