Bayt.com
https://bayt.page.link/qM2n5X8q48fuHgvj9
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Remote
General Engineering Consultancy
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Job Description

We are looking for a Site Reliability Engineer (SRE) to join Lucidya Cloud Engineering team and contribute to improving the reliability, scalability, and automation of our cloud-based infrastructure. The ideal candidate will have hands-on experience with cloud environments, containerized workloads, automation tools, and monitoring systems, as well as a proactive mindset for enhancing system availability and performance.


Key Responsibilities:
  1. Infrastructure Reliability
  • Ensure high availability (HA) and scalability of critical infrastructure components (e.g., Redis, RabbitMQ, Kubernetes clusters).
  • Proactively identify and eliminate single points of failure across the cloud environment.
  • Linux Systems Administration: Handle infrastructure management tasks such as patching, performance tuning, and monitoring of Linux-based systems.
Cloud Operations
  • Manage and optimize cloud-based workloads across AWS, GCP, or Azure.
  • Automate provisioning, scaling, and maintenance tasks using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or similar.
Kubernetes Clusters
  • Manage the day-to-day operations of Kubernetes clusters, including deployment, scaling, upgrades, and troubleshooting.
Monitoring and Incident Response
  • Implement and standardize monitoring solutions using tools like Datadog, Prometheus, or Grafana to track golden metrics and improve alerting systems.
  • Participate in on-call rotations, troubleshoot incidents, and drive post-incident reviews to implement lasting solutions.
Automation and Scripting
  • Develop and maintain automation scripts for routine operational tasks to reduce manual efforts and increase efficiency.
  • Advocate for AWX/Ansible adoption to automate configurations and deployments.
Collaboration and Best Practices
  • Work closely with DevOps and Engineering teams to identify and resolve performance bottlenecks.
  • Contribute to the establishment of best practices for infrastructure and application reliability.
Key Requirements:
  1. Experience and Knowledge
  • ~ 3 years of experience in a similar SRE, DevOps, or Infrastructure Engineer role.
  • Strong experience with at least one major cloud provider (AWS, GCP, or Azure).
  • Hands-on experience with Kubernetes and containerization (e.g., Docker).
Technical Skills
  • Proficient in scripting languages such as Python, Bash, or similar for automation.
  • Familiarity with Infrastructure as Code (IaC) tools like Terraform, Pulumi, or AWS CloudFormation.
  • Strong understanding of load balancers, networking (IP management, subnetting), and HA architecture.
  • Experience with CI/CD tools (e.g., Bitbucket Pipelines, Jenkins, GitHub Actions).
Monitoring and Observability
  • Experience with modern monitoring and observability tools (e.g., Datadog, ELK, Grafana).
  • Ability to define and track golden metrics and establish meaningful alerting thresholds.
Problem Solving and Troubleshooting
  • Strong analytical skills and ability to resolve complex technical issues.
  • Proven track record in root cause analysis and incident management.
Soft Skills
  • Excellent communication and collaboration skills to work across teams.
  • Self-motivated and proactive in improving systems and processes.
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