Annual Income: $60K - $65K, Onsite

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

About the job

Job Overview We are seeking ahighly skilled DevOps Engineer to join our team. The ideal candidate will beresponsible for building and maintaining the infrastructure that supports ourapplication development teams and cloud services. You will work closely withdevelopers and cloud engineers to ensure that code is deployed in a reliableand efficient manner and will be responsible for monitoring and troubleshootingthe system to ensure that it is running smoothly.
Key Responsibilities

• Build and maintain the infrastructure for our application development and deployment pipelines.
• Implement and maintain CI/CD pipelines using tools such as Jenkins and Bitbucket.
• Develop and maintain automation scripts using Python and Terraform to improve the efficiency of the system.
• Manage and maintain Kubernetes clusters and workloads.
• Troubleshoot microservices to identify and resolve issues related to log analysis, performance monitoring, and other related areas.
• Implement and maintain scalable and reliable solutions for high availability and disaster recovery.
• Collaborate with development teams to ensure adherence to security best practices and help implement security controls.
• Work with cloud services teams to ensure that infrastructure is optimized and cost-effective.
• Collaborate with other engineers and stakeholders to identify and implement improvements to the system.
  

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
• Experienced in Kubernetes (GKE, AKS, EKS).
• Experience in building, managing, and updating muti-tenant environments.
• Strong focus in automation.
• Experience with CI/CD pipelines using tools such as Jenkins, Bitbucket or other similar tools.
• Strong knowledge of Python and its related libraries.
• Knowledge of Terraform or other infrastructure as code tools.
• Experience with monitoring and troubleshooting microservices using tools such as Prometheus, Grafana, or similar.
• Experience with Kafka, MongoDB, and Postgres.
• Strong understanding of cloud computing services such as AWS, Azure, or GCP.
• Excellent analytical and problem-solving skills.
• Good communication and collaboration skills.
  

If you are a self-motivated individual with a passion for DevOps andhave the above qualifications, we encourage you to apply for this excitingopportunity.

The US base salary range for this full-time position is $150,000 - 160,000 benefits. Salary ranges are determined by role, level and location. The rangefor each job posting reflects the minimum and maximum target for new hiresalaries for the position across all US locations. Within the range, individualpay is determined by work location and additional factors, includingjob-related skills, experience and relevant education or training. Note thatthe compensation details listed reflect base salary and certain positions maybe offered additional variable incentives.

Patterned Learning provides equal employment opportunities to all qualifiedapplicants without regard to race, sex, sexual orientation, gender identity,national origin, color, age, religion, protected veteran or disability statusor genetic information.

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.