Preparing for an interview at Reinventing Geospatial requires a balanced approach of deep technical review, understanding the unique constraints of the defense sector, and demonstrating strong collaborative skills.

Technical Depth and Automation First Mindset – You must demonstrate a deep understanding of infrastructure automation. The engineering team at RGi values candidates who look to automate repetitive tasks immediately. Be ready to explain not just how to use tools like Terraform, Ansible, and Kubernetes, but why you chose specific configurations and architectures over alternatives.

Problem-Solving & Architectural Thinking – Interviewers will present you with open-ended, real-world deployment scenarios. They want to see how you gather requirements, identify constraints (such as limited network bandwidth or strict security protocols), and design a scalable, resilient system. Focus on explaining your thought process clearly and structuring your answers logically.

Security & Compliance Awareness – Working in the defense and intelligence space means security cannot be an afterthought. You must show a strong understanding of DevSecOps principles. Be prepared to discuss how you integrate security tools directly into your pipelines and how you design infrastructure to meet strict compliance standards, such as the Risk Management Framework (RMF) or Secure Technical Implementation Guides (STIGs).

Collaboration & Adaptability – As a DevOps Engineer, you will sit at the intersection of development and operations. RGi looks for engineers who can communicate effectively with software developers to help them package their code, while also speaking the language of systems administrators and security officers. Highlight your experience in breaking down silos and driving collaborative solutions.

The interview process at Reinventing Geospatial is designed to be rigorous yet transparent, focusing on your practical capabilities and alignment with the company's technical culture. The process moves efficiently, typically progressing through a series of structured conversations and technical evaluations.

Initially, you will speak with a recruiter to discuss your background, career goals, and your experience working within secure or regulated environments. This conversation is followed by a technical screening, which is typically a one-on-one video call with a senior engineer. During this screen, you will dive into your technical experience, discussing cloud architectures, containerization, and automation strategies in detail.

The final stage is a comprehensive panel interview. This stage focuses heavily on scenario-based architectural design, hands-on technical problem-solving, and behavioral questions. You will interact with key members of the engineering and leadership teams, giving you a clear picture of the collaborative culture at RGi.

This visual timeline illustrates the typical progression of the RGi interview loop. Candidates should use this structure to pace their preparation, focusing first on foundational technical concepts before moving on to complex system design scenarios and behavioral practice. The exact timeline can vary slightly depending on the specific project team and clearance requirements.

To succeed in the Reinventing Geospatial interview process, you must demonstrate mastery across several core technical domains. The engineering team looks for practical, hands-on experience rather than theoretical knowledge.

Cloud Architecture & Infrastructure as Code (IaC)

This area evaluates your ability to design and provision secure, scalable cloud environments. Because RGi deploys solutions across both commercial and government cloud environments, your understanding of cloud architecture must be highly robust.

Be ready to go over:

• Terraform state management – Best practices for storing, locking, and migrating state files in a team environment.
• AWS secure networking – Designing secure VPCs, managing security groups, and configuring route tables and private links.
• Multi-environment deployments – Structuring IaC code to deploy consistently across development, staging, and production environments.
• Advanced concepts (less common) – Deploying infrastructure in hybrid cloud architectures or managing configurations across air-gapped cloud environments like AWS C2S.

Example scenarios:

• "Design a highly available AWS infrastructure for a containerized application that requires access to a shared geospatial database, ensuring that the database is not exposed to the public internet."
• "How would you refactor a large, monolithic Terraform codebase into reusable modules without causing downtime for existing resources?"

Containerization & Orchestration (Kubernetes)

Containerization is central to how RGi packages and deploys its geospatial applications. You must demonstrate a deep operational understanding of Docker and Kubernetes.

Be ready to go over:

• Kubernetes architecture – Understanding the control plane, worker nodes, kubelet, and how networking operates within a cluster.
• Helm chart development – Creating, versioning, and managing complex application deployments using Helm templates.
• Resource management – Configuring CPU and memory requests and limits to prevent resource starvation on nodes.
• Advanced concepts (less common) – Implementing service meshes (like Istio) or managing stateful workloads and persistent volumes in a dynamic clustering environment.

Example scenarios:

• "Walk me through how you would set up autoscaling for a microservice that experiences sudden, unpredictable spikes in traffic due to real-time geospatial data processing."
• "A pod is running out of memory and getting terminated by the OOMKilled process. How do you investigate the root cause and resolve this issue permanently?"

DevSecOps & CI/CD Pipelines

Security is embedded in every phase of the development lifecycle at RGi. You must show that you treat security as a first-class citizen in your automation pipelines.

Be ready to go over:

• GitLab CI/CD implementation – Writing efficient, parallelized pipelines using runner configurations and caching.
• Automated security integration – Integrating tools like SonarQube, Trivy, or dependency-check into active deployment pipelines.
• Artifact management – Managing container registries and package repositories securely.
• Advanced concepts (less common) – Implementing GitOps workflows using tools like ArgoCD or Flux to maintain continuous state alignment.

Example scenarios:

• "How would you design a pipeline that automatically builds a container image, scans it for vulnerabilities, blocks the build if high-severity CVEs are found, and promotes it to a secure registry if it passes?"
• "Describe how you would automate the process of patching operating system vulnerabilities on active container images running in production."

As a DevOps Engineer at Reinventing Geospatial, your daily work will directly influence the speed and security with which software is delivered to critical users.

You will design, build, and maintain robust CI/CD pipelines that automate the compilation, testing, and deployment of complex geospatial software. A significant portion of your time will be spent writing and refining Terraform scripts to provision and manage cloud infrastructure across multiple environments, ensuring that environments are identical, reproducible, and secure.

Collaboration is a massive part of this role. You will work closely with software developers to containerize their applications, optimize their configuration files, and troubleshoot deployment failures. You will also partner with security teams to ensure all infrastructure and applications comply with strict government security standards, actively participating in the vulnerability remediation process and system hardening.

Additionally, you will monitor system performance, establish alerting thresholds, and participate in troubleshooting production incidents, ensuring that RGi's geospatial platforms maintain the high availability required for active operations.