• Owning the technical direction for the hybrid stack: Build the architecture for a platform that can deploy to all runtimes and maximise reusability without compromising performance and user experience. • Shipping early and shipping real: This isn't a multi-year research project. The company is moving fast on this work. • Building the mobile capabilities that the next decade needs: The fundamentals of how the application is assembled. • Leading with code, not whiteboards: Canva doesn't have an architecture function — Principal engineers stay hands-on, and this role leans more hands-on than most. • Influencing the product groups that depend on this work: As the first phase ships, you'll partner with the product groups whose experiences integrate into the hybrid application. • Sparring with strong peers: You'll join a small group of Principal and Staff engineers shaping how Canva's frontend and mobile stack works. • Influential Individual Contributor: While you’ll have no direct reports, you’ll be leading and mentoring Staff and Senior engineers and overseeing their architectural decisions.

GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're building the future of legal work, and we're doing it fast. You'll join at a pivotal moment—when decisions matter, impact is immediate, and the runway to shape your career is wide open. We’re a high-performing team where you'll have real ownership and influence from day one. More than 1,700 companies use GC AI to drive their business forward, including 150+ public companies, 25+ unicorns, and brands such as News Corp, Miro, Bass Pro Shops, Snyk, Skims, Liquid Death, Vercel, Zscaler, and TIME. We've 10x'd revenue in 12 months, raised a $60 million Series B ($555 million valuation), and are growing faster than ever. We are backed by incredible investors, including Scale Venture Partners, Northzone, Sound Ventures, and Guillermo Rauch, CEO of Vercel. If you thrive when the stakes are high and the path isn't paved, you'll love it here. Our six guiding principles are: 1% better every day, customer obsession, ship today, find a way, care deeply, and own it completely. Come shape the future of legal work with us. About The RoleWe're looking for a Senior Platform Engineer to help harden, simplify, and operationalize our production platform to meet the demands of enterprise customers. This is not a feature-churn role. The core need centers on infrastructure correctness, system reliability, developer experience, and operational excellence. You’ll own the foundational systems that let our product team move fast with confidence. A major component of this role is collaborating to define and evangelize engineering direction and culture around platform and infrastructure. You’ll work closely with all of engineering to raise the bar across the board. Why This Role MattersGC AI is at an inflection point. The platform that got us here was built for speed — now it needs to be built for scale. As we grow into larger, more demanding enterprise customers, infrastructure correctness and reliability aren't just engineering concerns; they're the foundation of customer trust. This role exists to close the gap between where the platform is and where it needs to be. What You'll Do - Own and evolve our core platform infrastructure—networking, compute, storage, and deployment pipelines—on Google Cloud Platform. - Build and maintain CI/CD pipelines that enable fast, safe, and reliable deployments. - Define and enforce infrastructure as code (IaC) practices using Terraform, Pulumi, or similar. - Unify logging and observability across services—making the platform easier to understand, debug, and operate. - Collaborate with fellow Engineers to maintain clean network boundaries, environment isolation, and operational hygiene. - Drive developer productivity by improving tooling, reducing toil, and building internal platform capabilities. - Contribute to engineering culture and technical direction—helping the team operate at a higher level. What You'll Do - Deep in GCP. You have production experience with IAM, service accounts, project isolation, and networking on Google Cloud Platform. You've operated infrastructure that real customers depend on. - Infrastructure as code is your default. You've built and maintained IaC with Terraform, Pulumi, or similar. You treat infrastructure drift like a bug. - A strong backend engineer. You write production-quality code, TypeScript preferred, and you're comfortable reasoning across the stack when platform decisions touch application behavior. - Observability-minded. You've built or maintained logging and observability pipelines at scale. You know what it takes to make a system legible to the people who run it. - Pragmatic about risk. You reason about operational risk clearly, make tradeoffs deliberately, and ship infrastructure improvements without waiting for perfect conditions. - An owner, not a renter. You fix problems without being asked, follow through on every detail, and communicate proactively when circumstances change. Nice To Have - Experience acting as a technical lead on a team or vertical; strong communication skills. - Experience with platform engineering, internal developer platforms (IDPs), or developer tooling. - Prior work in regulated or enterprise-focused environments. - Familiarity with SRE practices, incident response, or on-call workflows. Location PolicyThis is a remote role unless you fall within the following parameters. If you live within approximately 50 miles of our San Mateo, CA or Provo, UT office, the position follows a hybrid schedule with in-office days on Tuesdays, Wednesdays, and Thursdays. Equal Opportunity EmploymentGC AI is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. GC AI is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. #LI-GCAI Fraud Notice to GC AI ApplicantsTo protect yourself against phishing and recruitment fraud, please note that GC AI only accepts job applications through our official careers page at https://gc.ai/careers and through sponsored jobs on LinkedIn. All legitimate communication from our team regarding job opportunities will come from a GC AI team member with a @gc.ai or @getgc.ai email address. GC AI will never: - Refer you to external websites to apply - Conduct interviews over email, chat platforms, or messaging apps - Ask you to provide payment or purchase equipment - Request personal or financial information such as your mailing address, social security number, credit card numbers, or banking information during the application process Examples of fraudulent email addresses: - info.gcai.careers.com@gmail.com - info.gc.aicareers.online.com@gmail.com - Any email address ending in @gmail.com, @yahoo.com, or other free email services If you are contacted by someone claiming to be from GC AI via an unofficial channel or from a suspicious email address, please do not share any information. Mark the communication as "phishing" or "spam" and do not respond.

• Build scalable, reliable data systems while maintaining SLOs for business-critical pipelines. • Partner with other internal teams such as Product, Sales Ops, and Finance to deliver high-impact data solutions. • Support self-service tooling and a data-driven culture across Pantheon's teams. • Contribute to the technical strategy and operations of Pantheon's data platform. • Stay up-to-date with industry trends and technologies in data engineering, analytics, and modern data platforms. • Continuously improve our standard of engineering excellence by implementing best practices for data architecture, testing, pipeline reliability, and documentation.

• Own and maintain all CI/CD release pipeline YAML files across GitHub and Azure DevOps (ADO), ensuring pipelines are well-structured, version-controlled, and consistently documented. • Design, build, and enhance automated deployment pipelines for non-production and production hosted environments, supporting multiple customer environments. • Manage pipeline branching strategies, approval gates, environment-specific variable groups, and deployment conditions in alignment with Change Management (CAB) processes. • Continuously improve pipeline reliability, execution speed, and error handling to reduce deployment risk and increase release frequency. • Maintain pipeline-as-code standards, ensuring all pipeline definitions are peer-reviewed and stored in source control alongside application code. • Coordinate and execute deployments across all hosted environments development, test, staging, and production - with a focus on consistency, repeatability, and minimal customer impact. • Manage environment-specific configuration files and secrets, ensuring proper separation of configuration from code and secure handling of sensitive values. • Implement blue/green, rolling, or canary deployment strategies where applicable to reduce downtime and deployment risk. • Partner with DBA, IT, and application teams to align deployment windows with maintenance schedules and change management requirements. • Maintain deployment runbooks, rollback procedures, and post-deployment validation checklists for all hosted environments. • Manage Azure DevOps organizations, projects, pipelines, service connections, agent pools, and variable groups. • Define and enforce Git workflow standards (branching strategies, pull request policies, merge requirements) across the hosting operations team. • Integrate GitHub and ADO with downstream tools and services, including Azure cloud services, monitoring platforms, and notification channels. • Maintain pipeline and repository security, ensuring secrets and credentials are managed via Azure Key Vault or equivalent secret management tooling. • Develop and maintain Ansible playbooks and roles for automated configuration management across hosted Linux and Windows environments. • Use Ansible to enforce baseline configurations, manage software installations, apply patches, and maintain environment consistency across all hosted nodes. • Integrate Ansible automation into CI/CD pipelines to enable fully automated end-to-end deployment and configuration workflows. • Maintain an organized Ansible inventory structure and variable hierarchy supporting multiple environments and customer configurations. • Design and implement proactive monitoring solutions for hosted environments using internal tools, 3rd party developed tools, and alerting frameworks. • Build and maintain dashboards that provide real-time visibility into environment health, pipeline execution status, deployment success rates, and infrastructure performance. • Define alerting thresholds and escalation rules to detect and surface issues before they impact customers, integrating alerts with Microsoft Teams, PagerDuty, or equivalent notification channels. • Implement log aggregation and centralized log management to support troubleshooting, incident response, and compliance reporting. • Provision and manage Azure resources (VMs, VNets, NSGs, Storage Accounts, Key Vaults, App Services) supporting the hosted platform, using Infrastructure as Code (IaC) tools such as Bicep or Terraform. • Support cloud cost management by identifying over-provisioned resources, rightsizing recommendations, and pipeline-driven resource lifecycle management. • Participate in Azure Landing Zone design and implementation, ensuring hosted environments comply with organizational standards for security, networking, and governance. • Collaborate with infrastructure and security teams on Azure policy enforcement, RBAC configuration, and compliance posture. • Work closely with the Engineering, DBA, IT, and customer success teams to align release schedules, coordinate change management, and resolve deployment blockers. • Maintain internal documentation in Confluence for pipeline architecture, deployment procedures, configuration standards, and monitoring runbooks. • Participate in on-call rotation to support production deployment incidents and environment availability issues.