Site Reliability Engineer (SRE) at Lucidya Remote

Itlearn360; United States; Remote; USD 85,000 - 135,000; Full time

Job summary

Itlearn360 is seeking a Site Reliability Engineer to enhance the reliability and performance of our cloud infrastructure. You will be responsible for managing infrastructure reliability, optimizing cloud operations, and automating routine tasks using industry-leading tools. The ideal candidate should be proactive and possess strong cloud and Kubernetes expertise to drive our cloud initiatives.

Qualifications

• Approx. 3 years of experience in SRE, DevOps, or Infrastructure Engineering roles.
• Strong background with major cloud providers (AWS, GCP, Azure).
• Proficient in scripting for automation tasks.

Responsibilities

• Manage high availability and scalability of infrastructure components.
• Automate cloud operations using IaC tools.
• Implement and standardize monitoring solutions.

Skills

Scripting in Python

Cloud Operations

Kubernetes Management

Troubleshooting

Collaboration

Tools

Terraform

AWS CloudFormation

Datadog

Grafana

Kubernetes

Job description

Site Reliability Engineer (SRE) job at Lucidya. Remote.

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.