1. What is a DevOps Engineer at Activision?
As a DevOps Engineer at Activision, you are at the heart of the player-first technology that powers our global gaming ecosystem. Specifically within organizations like Xbox Advertising, this role is critical for building the full-stack monetization technology that enables ad-supported gameplay across Xbox surfaces. You are not just maintaining servers; you are enabling meaningful player engagement, publisher success, and platform growth by delivering trusted, high-quality experiences at a massive scale.
Your impact in this position is both immediate and foundational. You will support the Platform Engineering team by overseeing how infrastructure is provisioned, secured, and operated across multiple environments. By working on real, production-adjacent platform initiatives, you directly reduce operational risk and drastically improve the developer experience for world-class engineering teams. You will turn ambiguous platform problems into shipped, measurable outcomes that keep our gaming infrastructure resilient and efficient.
Expect a highly collaborative, fast-paced environment where deep gaming insights meet privacy-forward data. The systems you build and operate must handle immense global traffic, requiring a blend of software engineering and systems architecture. Whether you are designing a new deployment solution, implementing it in code, or piloting it with a small set of services, your work ensures that Activision remains the most effective and trusted platform in gaming.
2. Common Interview Questions
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Curated questions for Activision from real interviews. Click any question to practice and review the answer.
Design a CI/CD platform for Airflow, dbt, Spark, and Terraform that safely deploys 120 data pipelines with fast rollback and auditability.
Explain when to use linked lists, common linked list patterns, and how to reason about pointer-based solutions.
Explain how control plane, worker nodes, Kubelet, and etcd support Kubernetes-based ETL orchestration for Airflow and Spark workloads.
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Sign up freeAlready have an account? Sign in3. Getting Ready for Your Interviews
Preparing for the DevOps Engineer interview requires a strategic balance of software engineering fundamentals and deep systems knowledge. You should approach your preparation by understanding our core evaluation criteria and how they apply to the daily realities of platform engineering.
Role-Related Knowledge This measures your technical fluency in the tools and systems that power our infrastructure. Interviewers at Activision will evaluate your proficiency in scripting languages like Python and Golang, as well as your deep understanding of Linux and networking fundamentals. You can demonstrate strength here by confidently discussing how you have automated processes, managed cloud governance, or interacted with Kubernetes in past projects.
Problem-Solving Ability We look for candidates who can take an ambiguous operational problem and break it down into a logical, scalable solution. Interviewers will assess how you approach system design, troubleshoot production incidents, and weigh architectural trade-offs. To excel, clearly articulate your thought process, showing how you move from a high-level concept to a concrete implementation and rollout plan.
Learning Agility and Execution Technology evolves rapidly, and we value engineers who exhibit a strong capacity to grasp and apply new skills. You will be evaluated on your ability to think differently and approach problems in a well-organized, solutions-oriented manner. Showcasing personal projects, open-source contributions, or past experiences where you successfully adapted to new operational platforms will strongly signal your readiness.
Collaboration and Communication DevOps is inherently cross-functional, requiring constant interaction with software developers, product managers, and operations teams. We assess how well you communicate problems, solutions, needs, and priorities to both technical and non-technical stakeholders. Demonstrate this by sharing examples of how you have successfully piloted solutions with small teams, shipped clear documentation, and contributed to broader team tasks.
4. Interview Process Overview
The interview process for a DevOps Engineer at Activision is designed to be rigorous, practical, and highly collaborative. You will typically begin with an initial recruiter screen to align on your background, timeline, and basic qualifications. This is followed by a technical screen, often conducted via a shared coding environment, where you will be tested on your scripting abilities (Python or Golang) and core Linux/networking concepts.
If you progress to the virtual onsite rounds, expect a series of deep-dive interviews that mirror the actual work you will do on the Platform Engineering team. These sessions will cover a mix of systems design, infrastructure automation, troubleshooting scenarios, and behavioral questions. Our interviewing philosophy heavily emphasizes practical problem-solving over trivia; interviewers want to see how you turn an abstract requirement into a secure, automated, and observable system.
What makes this process distinctive is our focus on the developer experience and operational risk. You will not only be asked how to build a CI/CD pipeline, but also how to ensure it scales securely and how you would document and roll it out to a set of engineering teams.
This visual timeline outlines the standard progression of our interview stages, from the initial recruiter screen through the final technical and behavioral onsite rounds. You should use this to pace your preparation, ensuring you are ready for hands-on coding early in the process and complex architectural discussions later. Keep in mind that exact interview formats may vary slightly depending on your specific team placement and seniority level.
5. Deep Dive into Evaluation Areas
Scripting and Software Engineering
Automation is the backbone of platform engineering, making your ability to write clean, efficient code absolutely essential. At Activision, we evaluate your proficiency in Python and Golang, focusing on how you use these languages to interact with APIs, manipulate data, and automate infrastructure tasks. Strong performance means writing code that is not only functional but also modular, testable, and robust against failures.
Be ready to go over:
- API Integration – Writing scripts to interact with cloud provider APIs or internal microservices.
- Data Parsing – Efficiently reading and transforming JSON, YAML, or log files to extract actionable metrics.
- Concurrency – Utilizing Goroutines in Golang or async patterns in Python to speed up operational tasks.
- Advanced concepts (less common) – Writing custom Kubernetes operators, advanced memory management in Golang, or building internal CLI tools from scratch.
Example questions or scenarios:
- "Write a Python script that parses a large web server log file, identifies the top 10 IP addresses with the highest error rates, and outputs the result in JSON."
- "Implement a Golang program that concurrently checks the health of a list of internal services and reports any failures to a Slack webhook."
- "How would you design a script to automatically rotate API keys across multiple environments without causing downtime?"
Linux OS and Core Networking
A deep understanding of the environment where our applications run is non-negotiable for a DevOps Engineer. Interviewers will test your knowledge of Linux internals, file systems, process management, and core networking protocols (TCP/IP, DNS, HTTP/S). A strong candidate doesn't just know the commands; they understand what the kernel is doing under the hood during a system outage.
Be ready to go over:
- System Troubleshooting – Using tools like
strace,tcpdump,lsof, andtopto diagnose performance bottlenecks or failing services. - Networking Fundamentals – Explaining the lifecycle of a DNS request, TCP handshakes, subnetting, and routing.
- Linux Permissions and Security – Understanding user/group management, iptables, and secure SSH configurations.
- Advanced concepts (less common) – eBPF for observability, kernel tuning for high-throughput gaming servers, or deep BGP routing concepts.
Example questions or scenarios:
- "Walk me through exactly what happens at the network and OS level when you type a URL into a browser and press enter."
- "A developer reports that their application is running slowly, but CPU and memory usage look normal. How do you investigate the issue on the Linux server?"
- "Explain the difference between a hard link and a soft link, and describe a scenario where you would use each."
Cloud Native Platforms and CI/CD
Modern infrastructure relies heavily on containerization and automated delivery pipelines. We evaluate your familiarity with the software development lifecycle (SDLC), Kubernetes operational platforms, and CI/CD automation tools. Strong performance in this area involves designing scalable pipelines, managing configuration as code, and understanding cloud governance principles.
Be ready to go over:
- Container Orchestration – Deploying, scaling, and troubleshooting pods and services in Kubernetes.
- Pipeline Design – Structuring CI/CD workflows to build, test, and deploy code safely across staging and production environments.
- Infrastructure as Code (IaC) – Using tools like Terraform or Ansible to provision infrastructure repeatably and securely.
- Advanced concepts (less common) – Implementing GitOps workflows (e.g., ArgoCD), managing Istio service meshes, or designing multi-cluster Kubernetes architectures.
Example questions or scenarios:
- "Design a CI/CD pipeline for a new Golang microservice. What stages would you include, and how would you handle rollbacks?"
- "A Kubernetes pod is stuck in a
CrashLoopBackOffstate. Walk me through your troubleshooting steps to identify and resolve the root cause." - "How do you manage secrets and sensitive configuration data in a highly automated infrastructure environment?"
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