• Design and operate scalable, secure cloud infrastructure (AWS, GCP, Azure) • Build and maintain Infrastructure as Code (Terraform, Pulumi, CloudFormation) • Own runtime platforms (Kubernetes, serverless, container platforms) • Containerization of .NET and Windows workloads • Evolve system architecture, scaling strategies, and failure handling to align with distributed, elastic environments • Shift mindset from static provisioning to dynamic, API-driven infrastructure • Design and implement robust CI/CD pipelines for multiple services and teams • Standardize build, test, and deployment workflows • Enable safe, fast releases through automation, testing, and progressive delivery strategies • Improve deployment frequency while reducing change failure rates • Move from primarily rolling deployments to more advanced deployment strategies • Build platform capabilities that make safe deployment strategies the default for engineering teams • Eliminate manual processes through automation and self-service tooling • Build internal developer tooling that reduce friction and cognitive load • Improve developer workflows across build, test, deploy, and operate phases • Drive adoption of platform capabilities across engineering teams • Integrate security into CI/CD pipelines and infrastructure workflows • Implement identity, secrets management, and secure supply chain practices • Ensure compliance with standards (SOC2, HIPAA, etc. where applicable) • Partner with security teams to embed controls into platform tooling • Redefine RBAC strategies across infrastructure, CI/CD, and Kubernetes environments • Act as a technical authority across DevOps, SRE, and platform engineering • Drive architectural decisions and long-term technical strategy • Mentor engineers and influence best practices across teams • Lead cross-team initiatives and platform adoption efforts • Partner with product engineering to improve delivery workflows • Work with SRE, security, and data teams to align platform capabilities • Collaborate with leadership on roadmap, priorities, and tradeoffs • Influence engineering culture toward automation and reliability.

• Partner with DevOps and application engineering teams to design and improve standardized infrastructure, deployment workflows, and CI/CD pipelines • Build, operate, and continuously improve our containerized infrastructure, with a focus on reliability, scalability, and cost efficiency • Bring deep expertise in Kubernetes and its ecosystem, helping define best practices and support adoption across engineering teams • Manage and evolve cloud infrastructure on AWS, including compute, networking, and storage systems • Improve observability, monitoring, and incident readiness across production systems • Participate in a shared on-call rotation (approximately 1 week every 5 weeks), responding to and resolving production incidents • Mentor teammates and share knowledge to improve engineering practices and operational maturity across the organization

Role Description You'll monitor production infrastructure, respond to alerts, support deployments, and help developers work faster by improving pipelines and tooling. You'll work in a small DevOps team and own your own set of services and responsibilities. - Monitor production systems and respond to alerts and incidents - Support CI/CD pipelines and help teams deploy reliably - Write runbooks and document infrastructure as code - Identify bottlenecks and propose improvements to pipeline performance - Work with developers to troubleshoot environment and deployment issues Qualifications - Hands-on experience with Linux and cloud infrastructure (AWS, GCP, or Azure) - Comfortable with CI/CD tools — GitHub Actions, GitLab CI, Jenkins, etc. - Scripting ability in Bash or Python for automation tasks - Calm under pressure and methodical when debugging incidents Requirements - Experience with Docker and Kubernetes (Nice to have) - Familiarity with Terraform or Ansible for infrastructure as code (Nice to have) - Any cloud certifications (AWS Solutions Architect, etc.) (Nice to have) Benefits - $900–$1,300 USD/month - Fully remote with flexible hours - On-call rotation with clear compensation - 20 days leave plus public holidays - Equipment budget and training allowance

• AI Agent Design & Development • AI Agent Lifecycle Ownership • System Integration & Automation • Full Stack Solution Development • Customer Solution Engineering • Product Innovation & Feedback • Technical Demonstration & Enablement • Architect agent behaviors including intent handling, workflow orchestration, and multi-system interactions