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Last checked Nov 3, 2026.

Big Viking Games may use AI-assisted tools at some steps of the recruiting process, including application review support, candidate research, interview preparation, scheduling support, and workflow administration. (quoted from the posting)

What You’ll Do

Build Agentic Automation for Infrastructure Work

• Design, build, and operate agentic tooling that performs real DevOps work, including diagnosis, remediation, provisioning, routine maintenance, and operational follow-up.
• Build and maintain the integration layer that lets tooling act safely on our systems, including API integrations, MCP-style servers, webhook-driven orchestration, serverless functions, and permission-controlled automation.
• Convert manual runbooks, SOPs, recurring maintenance tasks, and repetitive operational chores into automation that can run unattended where appropriate.
• Establish guardrails that make automated action against production defensible, including least-privilege scopes, dry-run modes, approval paths, logging, audit trails, rollback plans, and clear escalation rules.
• Use agentic coding tools to accelerate infrastructure work, including IaC authoring, migration scripts, incident analysis, log analysis, documentation, and operational troubleshooting.
• Help improve how the wider engineering team uses automation and AI-assisted tooling safely and effectively.

Own and Modernize Live Production Infrastructure

• Monitor, maintain, and improve cloud infrastructure across AWS, Netlify, Vercel, and related platforms supporting our live games, data systems, internal tools, and operational workflows.
• Drive infrastructure modernization while maintaining uptime for live games with active player communities.
• Implement and maintain Infrastructure as Code using Terraform, CloudFormation, CDK, Pulumi, or similar tools.
• Improve CI/CD pipelines, release workflows, deployment reliability, and environment management so teams can ship safely and frequently.
• Operate containerized workloads and GitOps-based deployment patterns.
• Improve local development, build, test, deploy, and production support workflows.
• Help manage cloud usage, resource tagging, environment efficiency, and infrastructure cost discipline.

Reliability, Observability, and Security

• Rebuild and improve observability across the stack, including logging, metrics, alerting, dashboards, and operational visibility.
• Pay particular attention to early detection of silent failures, pipeline failures, data freshness issues, and degraded production behavior.
• Maintain and monitor data pipelines between game source databases, Snowflake, and downstream analytics and reporting systems.
• Own secrets and credential lifecycle management across platforms, including API key rotation, access controls, environment variable governance, and least-privilege practices.
• Support incident response, root cause analysis, remediation planning, and post-incident improvements.
• Automate the parts of incident response and remediation that repeat.
• Create documentation, runbooks, and SOPs that are executable wherever possible, not just descriptive.
• Improve backup, restore, disaster recovery, access review, and production-readiness practices.

Requirements

What You Bring

Experience

• 7+ years of experience in DevOps, infrastructure engineering, cloud engineering, site reliability engineering, platform engineering, or a similar role.
• Strong hands-on experience designing, maintaining, and improving production infrastructure.
• Experience supporting live production systems where uptime, reliability, data integrity, and performance matter.
• Experience working with mature or legacy systems that predate modern cloud-native patterns.
• 1+ year building with agentic coding tools, tool-calling systems, workflow automation, or infrastructure automation that takes real action.
• Experience with systems such as agents wired into pipelines, MCP-style integrations, automated diagnosis, automated remediation, provisioning workflows, or production-safe infrastructure tooling.
• Experience identifying repetitive operational work and turning it into reliable automation.

Core Technical Skills

• Strong hands-on experience with AWS or similar cloud platforms.
• Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, CDK, Pulumi, or similar, including shared state and team-based workflows.
• Experience with containerized applications, especially Docker.
• Experience with container orchestration such as Kubernetes, ECS, EKS, or similar, including debugging real production issues.
• Experience with GitOps and declarative deployment tools such as ArgoCD, Flux, or equivalent.
• Experience with CI/CD tooling, version control, deployment automation, and modern release workflows.
• Strong understanding of Linux systems, networking, cloud security, monitoring, logging, and operational troubleshooting.
• Experience establishing observability, including choosing tooling, defining alerts, tuning alert noise, and creating useful dashboards.
• Experience with relational databases such as MariaDB, MySQL, or Postgres, including replication, backup, verified restore, and schema changes against systems that stay online.
• Security-aware mindset with practical experience in secrets management, credential rotation, access control, vulnerability reduction, and least-privilege practices.

How You Work

• Self-starting. You identify the work rather than waiting for it to be assigned, and you can explain why one problem matters more than another.
• Proactive about toil. You notice repetitive work and treat it as a defect to be engineered away, not a cost of doing business.
• Inventive but pragmatic. You reach for novel approaches where they genuinely help and recognize when a simple script is the better answer.
• Strong problem-solving skills and the ability to investigate complex infrastructure or production issues, including silent failures and data pipeline outages.
• Comfortable working directly with engineers to improve build, deploy, and operational workflows.
• Practical ownership mindset with the ability to prioritize, execute, and close loops.
• Strong communication with technical and non-technical stakeholders.
• Calm under pressure during incidents, escalations, and ambiguous production issues.

Nice to Have

• Experience supporting live games, virtual worlds, multiplayer systems, or other real-time online products.
• Experience with GitHub Actions or similar CI/CD platforms.
• Experience with Datadog, Grafana, Prometheus, CloudWatch, ELK, OpenTelemetry, or similar observability tooling.
• Experience with Redis, Memcached, queues, workers, or event-driven systems.
• Experience with Snowflake, data warehouse connectivity, ETL monitoring, or data pipeline reliability.
• Experience with serverless platforms such as Netlify Functions, Vercel, AWS Lambda, or similar.
• Experience operating multi-platform hosting environments.
• Experience with disaster recovery, backup strategies, incident management, load testing, and performance tuning.
• Experience improving cloud cost management, tagging, resource optimization, or infrastructure governance.
• Experience evaluating where automation should not be applied, including cases where human approval or human judgment remained necessary.
• Experience working in small, high-leverage engineering teams where infrastructure ownership is broad and hands-on.

Ideal Candidate Profile

The ideal candidate is a senior infrastructure engineer who keeps live systems stable while systematically removing the manual work involved in keeping them that way.

They are not a tool collector. They understand uptime, production risk, cloud cost, security, release quality, operational discipline, and the failure modes of automation. They know that automation acting on production needs guardrails, observability, rollback paths, and human approval where risk demands it.

They work independently. Given a mature live game and a broad remit, they can identify what matters, sequence it sensibly, and improve systems incrementally without disrupting what is already working.

They are comfortable being the person who decides what gets automated next, what should remain manual, and what needs stronger controls before it can safely run unattended.

This role suits someone who wants deep ownership of production infrastructure and a real mandate to modernize how live-service games are operated.

Benefits

Compensation

The expected compensation range for this role is CAD $140,000 to $180,000, depending on experience, technical depth, infrastructure ownership, agentic automation experience, and overall fit.

Benefits

• Group Retirement Savings Plan matching and participation.
• Comprehensive benefits package, including health, dental, and vision coverage.
• Health and Wellness spending account.
• Generous time off policies.
• Opportunity to support long-running live-service games with established player communities.
• Deep ownership of cloud modernization, DevOps automation, security improvement, and agentic infrastructure workflows.
• A high-impact role with meaningful ownership over reliability, performance, and engineering operations.

Hiring Process and AI Disclosure

This posting is for an existing vacancy.

Big Viking Games may use AI-assisted tools at some steps of the recruiting process, including application review support, candidate research, interview preparation, scheduling support, and workflow administration.

AI does not make final hiring decisions. Hiring decisions are made by people.

Every interviewed candidate will be informed of their status within 45 days of their final interview.

Accessibility and Accommodation

Big Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed.

If you require accommodation during the hiring process, please contact hr@bigvikinggames.com so we can work with you to support your needs.

Application Note

When you apply, tell us about infrastructure automation you have built that performed real operational work.

We are especially interested in what it did, what systems it touched, how you made it safe, what guardrails you built, how it failed, and what manual work it eliminated.