PayNearMe is on a mission to simplify payments through innovative technology. The Site Reliability Engineer will design, build, and maintain the systems and infrastructure that ensure the reliability, scalability, and performance of the company's applications.
Responsibilities:
- Design, implement, and maintain scalable and resilient infrastructure using Terraform for infrastructure as code, ensuring high availability and performance
- Deploy, manage, and optimize Kubernetes clusters and containerized applications using Docker. Implement best practices for container orchestration and management
- Develop and maintain comprehensive monitoring and observability solutions using Datadog. Ensure detailed visibility into system performance and application health
- Define, monitor, and maintain Service Level Objectives (SLOs) and Service Level Agreements (SLAs) to ensure reliable and consistent service delivery
- Respond to incidents, perform root cause analysis, and implement solutions to prevent recurrence. Participate in post-incident reviews and contribute to blameless postmortems
- Ensure the reliability and stability of our production environments. Continuously assess and improve system reliability, identifying and addressing potential points of failure
- Develop automation scripts and tools to reduce manual intervention and improve system reliability using Python, Bash, or Go. Implement and improve CI/CD pipelines
- Enhance and maintain continuous integration and continuous deployment pipelines using GitLab CI. Ensure seamless and reliable deployment processes
- Assist in capacity planning and ensure that systems are scalable to meet future demands. Implement auto-scaling strategies where applicable
- Implement security best practices and ensure compliance with industry standards. Regularly review and update security policies and procedures
- Work closely with development teams to ensure reliability and scalability of new features and services. Provide technical support and guidance on infrastructure-related issues
- Develop and maintain internal tools and services that enhance the efficiency and reliability of our operations
- Participate in an on-call rotation to address production issues and collaborate in incident response efforts
Requirements:
- +3 years of experience in SRE, DevOps, or a related role
- Proficient with cloud platforms such as AWS, GCP, or Azure Experience with EC2, RDS, VPCs, and security groups is essential
- Strong experience with Kubernetes and Docker, including deployment, scaling, and management of containerized applications
- Expert in using Terraform for infrastructure as code. Proficient with configuration management tools such as Ansible, Puppet, or Chef
- Extensive experience with monitoring and observability tools like Datadog, Prometheus, Grafana, ELK stack, or Splunk. Skilled in setting up detailed monitoring and logging systems
- Proven ability to define, monitor, and maintain SLOs and SLAs to ensure reliable service delivery
- Strong skills in scripting languages like Python, Bash, or Go. Experience automating repetitive tasks and processes
- Familiarity with GitLab CI or similar tool for continuous integration and deployment. Experience in setting up and managing pipelines
- Experience supporting production environments running Go or Ruby/Rails applications
- Ability to write and update tools to support infrastructure and application management, demonstrating the principle that “SRE is what happens when you ask a software engineer to design an operations team
- Deep understanding of DevOps principles, practices, and tools to drive continuous improvement in the software development lifecycle
- Strong organizational skills, attention to detail, and the ability to work collaboratively in a team environment. Excellent documentation skills to ensure accurate and detailed records
- Excellent analytical and problem-solving skills to diagnose and resolve complex system issues quickly and effectively