• Monitor, support, and maintain the reliability, availability, and performance of large-scale GeForce NOW production services running across cloud and datacenter environments. • Participate in production incident triage, troubleshooting, and resolution of complex infrastructure and application issues. • Take part in the team's on-call rotation, including occasional weekend coverage, to ensure timely restoration of customer-facing services. • Monitor service health using metrics, logs, traces, and dashboards, and proactively identify reliability, performance, and capacity issues before they impact customers. • Collaborate with software engineering, platform, networking, and infrastructure teams to improve operational readiness, reliability, and service resilience. • Drive observability initiatives by improving monitoring, alerting, dashboards, and telemetry to enable faster detection and diagnosis of production issues. • Scale services sustainably by building automation, eliminating operational toil, and continuously improving deployment, recovery, and operational workflows. • Lead and participate in incident response, root cause analysis, and blameless postmortems, driving corrective and preventive actions to improve long-term service reliability. • Design and develop custom tools, automation, and self-service solutions that simplify operations, improve engineer productivity, and enhance the overall GeForce NOW platform. • Continuously evaluate existing operational processes and identify opportunities to improve service reliability, operational efficiency, and customer experience through engineering-driven solutions. • Contribute to the design, deployment, and operation of Kubernetes-based services, ensuring they meet scalability, reliability, and performance requirements.

• You will lead your team to build a resilient, flexible, and automated network infrastructure that enables GoTo’s development teams to reach their full potential. • Your day-to-day responsibilities will include overseeing the design, implementation, and maintenance of scalable cloud networking solutions, ensuring high availability and security across all platforms, and promoting automation initiatives to optimize operations. • You will coordinate cross-functional projects, prioritize the team’s workload, and act as the primary escalation point for technical issues. • Maintaining strong relationships with vendors and service providers will be essential, as will mentoring team members, conducting regular performance reviews, and fostering a collaborative, growth-oriented environment. • You will also be responsible for capacity planning, establishing best practices, ensuring strict compliance with security standards and company policies, and managing costs in line with business objectives and industry benchmarks. • Finally, within a platform engineering organization, you will be responsible for deeply understanding your customers and stakeholders—their needs and initiatives—and managing the team roadmap to align with internal and external business outcomes.

Role Description As a Senior DevOps Engineer at Figment, you'll own mission-critical validator infrastructure and pioneer agentic AI workflows that amplify team capability, sharpen operational decision-making, and drive measurable business outcomes. You'll have end-to-end ownership, high autonomy, and a direct impact on how our platform performs and scales. - Deploy and maintain blockchain validator nodes and associated infrastructure, leveraging Ansible and Terraform to automate protocol operations and guarantee maximum uptime for the network fleet. - Build and extend agentic AI workflows that automate operational patterns, directly driving AI enablement and infrastructure efficiency. - Onboard new protocols and staking infrastructure for institutional customers. - Sharpen monitoring, alerting, and observability across hybrid infrastructure supporting high-value blockchain staking operations. - Partner closely with our security team to deploy highly secure CI/CD builds and drive release pipeline improvements. - Contribute to incident resolution and participate in on-call rotation supporting operations across 50+ blockchain production staking infrastructure. - Collaborate cross-functionally with stakeholders in Security, Product, Customer Success, and Finance, as well as external blockchain foundations, to drive strategic initiatives across our globally distributed team. Qualifications - 3+ years in DevOps, SRE, or Infrastructure Engineering, with demonstrated experience building AI-augmented operational workflows and agentic tooling. - Strong expertise in Linux systems administration - systemd, networking, kernel upgrades, bare-metal comfort. - Comfortable with deep shell scripting, Python/Go, and Infrastructure as Code. - Proven success managing hybrid environments (bare-metal and cloud) at scale, with Ansible provisioning across multiple production hosts and Terraform-driven workflows for VMs, monitoring, Vault, and DNS modules. - Deep knowledge of monitoring and observability platforms (Datadog, PagerDuty - preferred) with a focus on actionable alerting and operational clarity. - Demonstrated experience building production-grade AI workflows using agentic tooling (Claude Code or equivalent), and maintaining CI/CD pipelines for automated build, test, and deployment. - A proactive, dive-in problem-solving mindset: you see risks early, turn them into plans, and drive improvements while sharing knowledge with your teammates. Requirements - Bonus if you have hands-on blockchain validator operations experience with Solana, Ethereum, Cardano, Cosmos SDK, or similar, including Layer 1/2 infrastructure and familiarity with protocol-specific tooling (Solana CLI, Cardano tools, etc.). - Kubernetes or container orchestration experience. - Cloud-native depth on AWS or GCP, including Nitro Enclaves or managed Kubernetes. - Security engineering or systems hardening background. - Networking depth in P2P topology. Benefits - 100% remote-first environment. - 4 weeks of PTO that kick in day one, with an additional 1 week of flex days. - Extended company-paid health benefits that kick in day one. - Best in class parental leave and flexible arrangements. - A home office stipend to create a space that you enjoy working in. - Monthly Wifi reimbursement. - A yearly Learning & Development budget. - RRSP match (Canada). - Stock Options in the company. - Annual onsite company gatherings and retreats to inspire team bonding, collaboration, and fun!

• Design reliability strategies for distributed databases • Automate provisioning, monitoring, backup, and recovery processes • Ensure performance, scalability, and observability of data environments • Define governance standards within a Data Mesh architecture • Collaborate with Product and Engineering teams on the evolution of solutions • Manage cloud-native environments and optimize resources on AWS • Contribute to the advancement of automation and CI/CD practices