Batch Systems Inc

Batch is a brand-first technology platform designed to amplify customer engagement, enable frictionless transactions, defend product authenticity, elevate customer loyalty, and ignite customer growth. Our mission is to provide seamless solutions that help businesses build stronger connections with their customers. With a focus on enhancing the customer experience, Batch delivers innovative technology that drives value and fosters long-term success. Role Description We are looking for a proactive Site Reliability Engineer (SRE) with strong hands-on experience in cloud infrastructure, automation, and system reliability. You will be responsible for building, maintaining, and optimizing highly available and scalable systems. The ideal candidate has expertise in Kubernetes, AWS, Terraform/Terragrunt, and CI/CD pipelines , along with solid scripting skills to automate operational tasks. Key Responsibilities: Design, deploy, and maintain cloud infrastructure (AWS) ensuring reliability, scalability, and security. Manage and operate Kubernetes clusters , ensuring high availability and performance. Implement infrastructure as code using Terraform/Terragrunt to automate provisioning and updates. Develop and maintain CI/CD pipelines using GitLab for application deployment. Write automation scripts in Python and Bash to streamline operational tasks and monitoring. Manage Docker-based deployments , optimizing container performance and security. Monitor and optimize PostgreSQL databases (including RDS) for performance, backup, and recovery. Troubleshoot production issues and provide root cause analysis to prevent recurrence. Collaborate with development and operations teams to improve system reliability, deployment processes, and infrastructure efficiency. Implement observability solutions : logging, metrics, and alerts to ensure system health. Required Skills & Experience: 3+ years of professional experience in Site Reliability, DevOps, or Cloud Engineering roles. Strong expertise in Kubernetes , including deployments, scaling, and cluster management. Hands-on experience with AWS services (EC2, RDS, S3, IAM, CloudWatch, etc.). Experience with Terraform/Terragrunt for infrastructure automation. Proficient in GitLab CI/CD pipelines and version control workflows. Strong scripting skills in Python and Bash for automation and operational tasks. Experience with Docker containerization and orchestration. Working knowledge of PostgreSQL and RDS management. Strong problem-solving skills and attention to detail. Good communication skills and ability to collaborate across teams. Preferred Skills: Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, etc.). Familiarity with microservices architectures and cloud-native applications. Understanding of security best practices in cloud infrastructure. Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.). Benefits: Competitive salary and benefits package. Opportunities for career growth and professional development. Work with cutting-edge cloud and DevOps technologies. Collaborative and inclusive work environment. Flexible work arrangements (if applicable).