• Ensure we meet our customers' Service Level Agreements, and respond to incidents in a timely and professional manner • Proactively monitor production environments to ensure scalability, availability, and security • Improve the alignment of service performance to customers and co-workers by reducing or eliminating manual and repetitive tasks, reducing bottlenecks and inefficiencies from services • Create, deliver, and manage business critical services that are used 24/7 by customers and co-workers • Work closely with Development and DevOps teams to give them tools for their job and support the application release process • Be involved in designing, building, and scaling our global product platform

• Engage with business stakeholders to gather requirements and design solutions that align with engineering standards and support business needs. • Design, implement, and manage Red Hat OpenShift clusters in on-premises (physical and virtualised) environments. • Take ownership of systems engineering projects related to OpenShift infrastructure. • Collaborate with development teams to containerize applications and optimize deployment and release workflows. • Build and maintain CI/CD pipelines using OpenShift and associated DevOps tools. • Automate operational and deployment tasks using Ansible and other scripting tools. • Perform patching and upgrades of OpenShift clusters, ArgoCD, GitLab CI, and related components in compliance with change-management procedures. • Design, implement, and maintain backup, disaster recovery, and redundancy strategies. • Participate in on-call/standby rotation to support critical platform and infrastructure services and ensure service continuity. • Support daily operations including trend analysis, root cause analysis, monitoring, troubleshooting, and resolution of platform issues to ensure high availability and reliability. • Implement and enforce security best practices, including RBAC, vulnerability management, and compliance controls. • Improve alerting, monitoring, and observability capabilities across OpenShift and related systems. • Produce and maintain up-to-date documentation, including architecture diagrams, operational procedures, and runbooks. • Provide knowledge transfer, mentoring, and training to colleagues on OpenShift, GitLab, and related infrastructure technologies.

• Manage, monitor, and maintain highly available systems (Windows and Linux) • Analyze metrics and trends to ensure rapid scalability. • Address routine service requests while identifying ways to automate and simplify. • Create infrastructure as code using Terraform, ARM Templates, Cloud Formation. • Maintain data backups and disaster recovery plans. • Design and deploy CI/CD pipelines using GitHub Actions, Octopus, Ansible, Jenkins, Azure DevOps. • Adhere to security best practices through all stages of the software development lifecycle • Follow and champion ITIL best practices and standards. • Become a resource for emerging and existing cloud technologies with a focus on AWS.

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are turning a strong product architecture into a production-ready system that is reliable, observable, scalable, and easy to ship. We are hiring a Software Engineer Intern (Platform & DevOps) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. In this role, you will help us scale the platform and strengthen the engineering foundation behind the product. This is a high-ownership internship for someone who enjoys backend systems, infrastructure, reliability, automation, and turning prototypes into production-grade software. What you’ll work on - Improve deployment, release, and environment workflows so the team can ship faster with fewer issues - Strengthen observability across services, jobs, and pipelines using logs, metrics, tracing, alerts, and dashboards - Improve the reliability and performance of ingestion jobs, scheduled metric computation, backend services, and platform tooling - Help harden infrastructure across cloud services, object storage, databases, secrets, permissions, and service configuration - Improve CI/CD, test automation, rollback readiness, and production debugging workflows - Work across the engineering stack to make the system more stable, production-ready, and easier to maintain What success looks like by the end of the internship - Core services and jobs are easier to deploy, monitor, and troubleshoot - Engineering workflows are faster and more reliable - The platform is meaningfully closer to production-grade readiness in reliability, performance, and operations What we’re looking for - 2+ years of hands-on software engineering experience preferred through internships, startups, research labs, open-source work, or production projects - Strong programming fundamentals and comfort working in backend systems - Experience with DevOps, platform engineering, or SRE-style work preferred - Experience with containers, CI/CD pipelines, infrastructure automation, and cloud services preferred - Experience with relational databases, object storage/data lakes, and scheduled or background jobs preferred - Comfort debugging production issues, improving developer workflows, and writing maintainable code - Strong written communication, ownership, and execution Nice to have - Experience with Azure, AWS, or GCP - Experience with Docker, Kubernetes, Terraform, GitHub Actions, or similar tooling - Experience with Postgres, data pipelines, or analytics/ML infrastructure - Familiarity with security, access control, and performance tuning Work authorization Applicants must be authorized to work in the United States for the full internship period and must be based in the U.S. during the internship. We are not able to provide employment visa sponsorship for this internship. We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.