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AWS Cloud Reliability Engineer
1 month ago
As a Cloud Reliability Engineer at EnergyJobLine, you will play a key role in developing and deploying infrastructure for a new automation platform. You will implement Site Reliability Engineering (SRE) principles, focusing on measurement, reduction of manual tasks, and reliability modeling. Your goal will be to define and monitor metrics to drive data-based decisions aimed at improving availability, reliability, and operational speed. You will create, maintain, and refine SLO and SLI baselines for network, system, and application performance. Additionally, you will conduct proactive data analysis and testing to ensure optimal performance of production applications and services.
Responsibilities
- Collaborate with the Network Automation Team to develop and deploy infrastructure for a new automation platform.
- Implement SRE principles focusing on measurement, reduction of manual tasks, and reliability modeling.
- Define and monitor metrics to drive data-based decisions aimed at improving availability, reliability, and operational speed.
- Create, maintain, and refine SLO and SLI baselines for network, system, and application performance.
- Conduct proactive data analysis and testing to ensure optimal performance of production applications and services.
Requirements
- Minimum of 3 years of experience with cloud/web/CDN scale infrastructure.
- Proficiency in Python and Go; experience with C/C++ is advantageous.
- In-depth knowledge of Linux systems, network programming, and protocols such as TCP, UDP, DNS, TLS/SSL, and HTTP.
- Hands-on experience with DevOps practices and tools including Infrastructure as Code (Ansible/Saltstack), CI/CD (Gitlab, Jenkins, Git), and monitoring/visualization tools (Prometheus, Grafana).
- Exposure to big data technologies like NoSQL/RDBMS, Redis, ElasticSearch, and Kafka.
- Skilled in building and analyzing data telemetry, modeling, pipelines, and UI visualization.
- Proven experience in software development, troubleshooting, and monitoring of large-scale distributed systems.
- Adherence to software engineering best practices, standards, and the software development life cycle.
- Knowledgeable about Agile software development methodologies.
- Bachelors or Masters degree in computer science, engineering, or a related technical field, or equivalent experience.