Site Reliability Engineer

PayNearMe develops technology to facilitate the end-to-end customer payment experience, making it easy for businesses to accept, disburse and manage payments. Our modern and reliable platform lowers the total cost of payments by increasing acceptance rates, driving self-service and simplifying exceptions. We future-proof our clients’ payments roadmap by including all payment types and channels through a single contract and integration.

With PayNearMe, businesses can transform the outdated systems holding them back from achieving progress.

PayNearMe has over 200 employees, raised a $45M Series D round in June 2023, and processes billions in payments annually. Headquartered in Silicon Valley, our team is distributed across the U.S. Join us in solving our clients’ biggest payment challenges. Job Description

As our Site Reliability Engineer, you will design, build, and maintain the systems and infrastructure that power our applications, ensuring their reliability, scalability, and performance. You will bring a software engineering approach to operations, automating processes, and continuously improving the infrastructure and tools to support our business needs.

What you’ll do:

Infrastructure Management: Design, implement, and maintain scalable and resilient infrastructure using Terraform for infrastructure as code, ensuring high availability and performance. Kubernetes and Containers: Deploy, manage, and optimize Kubernetes clusters and containerized applications using Docker. Implement best practices for container orchestration and management. Systems and Application Monitoring/Observability: Develop and maintain comprehensive monitoring and observability solutions using Datadog. Ensure detailed visibility into system performance and application health. SLOs and SLA Management: Define, monitor, and maintain Service Level Objectives (SLOs) and Service Level Agreements (SLAs) to ensure reliable and consistent service delivery. Incident Response and Troubleshooting: Respond to incidents, perform root cause analysis, and implement solutions to prevent recurrence. Participate in post-incident reviews and contribute to blameless postmortems. Reliability and Production Environment Management: Ensure the reliability and stability of our production environments. Continuously assess and improve system reliability, identifying and addressing potential points of failure. Automation and Scripting: Develop automation scripts and tools to reduce manual intervention and improve system reliability using Python, Bash, or Go. Implement and improve CI/CD pipelines. CI/CD Pipeline Management: Enhance and maintain continuous integration and continuous deployment pipelines using GitLab CI. Ensure seamless and reliable deployment processes. Capacity Planning and Scaling: Assist in capacity planning and ensure that systems are scalable to meet future demands. Implement auto-scaling strategies where applicable. Security and Compliance: Implement security best practices and ensure compliance with industry standards. Regularly review and update security policies and procedures. Collaboration and Support: Work closely with development teams to ensure reliability and scalability of new features and services. Provide technical support and guidance on infrastructure-related issues. Software Engineering for Operations: Develop and maintain internal tools and services that enhance the efficiency and reliability of our operations. On-Call Rotation: Participate in an on-call rotation to address production issues and collaborate in incident response efforts.

Qualifications

Experience: +3 years of experience in SRE, DevOps, or a related role. Cloud Platform Experience: Proficient with cloud platforms such as AWS, GCP, or Azure. Experience with EC2, RDS, VPCs, and security groups is essential. Kubernetes and Containers: Strong experience with Kubernetes and Docker, including deployment, scaling, and management of containerized applications. Infrastructure as Code: Expert in using Terraform for infrastructure as code. Proficient with configuration management tools such as Ansible, Puppet, or Chef. Monitoring and Observability: Extensive experience with monitoring and observability tools like Datadog, Prometheus, Grafana, ELK stack, or Splunk. Skilled in setting up detailed monitoring and logging systems. SLOs and SLA Management: Proven ability to define, monitor, and maintain SLOs and SLAs to ensure reliable service delivery. Scripting and Automation: Strong skills in scripting languages like Python, Bash, or Go. Experience automating repetitive tasks and processes. CI/CD Practices: Familiarity with GitLab CI or similar tool for continuous integration and deployment. Experience in setting up and managing pipelines. Production Environments: Experience supporting production environments running Go or Ruby/Rails applications. Tool Development: 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.” DevOps Best Practices: Deep understanding of DevOps principles, practices, and tools to drive continuous improvement in the software development lifecycle. Soft Skills: 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. Problem-Solving Ability: Excellent analytical and problem-solving skills to diagnose and resolve complex system issues quickly and effectively.