We are looking for a Principal DevOps Engineer to help build and operate our next-generation Agentic-AI Data Management platform from 0-1. This is a hands-on, delivery-focused role for a senior/principal engineer who thrives in early-stage environments, owns reliability and automation end-to-end, and takes pride in running production systems used by external enterprise customers.You will work alongside an established architect and senior product engineers, shape platform and operational architecture, and spend a significant portion of your time designing, building, and evolving the cloud, CI/CD, and runtime foundations of the product.Here is how, through this exciting role, YOU will contribute to BMC's and your own success:* Platform & DevOps Engineering (Primary Focus) - Design, build, and operate the core cloud and Kubernetes-based platform that underpins a 0-1 data automation and management product, taking infrastructure and operational capabilities from concept through production.* Hands-on Automation - Write production-grade automation in Python, Go, or similar languages to eliminate manual work across provisioning, deployment, scaling, monitoring, and incident response.* Cloud & Kubernetes Architecture - Design and evolve Kubernetes-based platforms using Docker, Helm, and cloud-native services, balancing speed of delivery with long-term operability and cost control.* SRE & Reliability Practices - Establish and enforce SRE best practices including SLIs/SLOs, alerting strategies, error budgets, incident management, and post-incident reviews to ensure enterprise-grade reliability.* CI/CD & Release Engineering - Build and maintain robust CI/CD pipelines (e.g., GitHub Actions, Jenkins) to support frequent, safe, and repeatable deployments across multiple environments.* Security & Compliance Enablement - Manage cloud environments in accordance with company security guidelines, embedding security, compliance, and access controls directly into infrastructure and pipelines.* Operational Tooling - Build and maintain internal tools, services, and automation that support deployment, observability, debugging, and operational excellence while reducing human error.* Integration & Cloud Enablement - Support deployments across AWS including integrations with enterprise systems and geographically redundant, highly available services.* Product & Engineering Collaboration - Work closely with product engineering teams to design operable systems, influence architectural decisions, and ensure production realities inform development choices early.* Founder-Level Ownership - Act with strong ownership: identify operational gaps, propose pragmatic solutions, and move work forward without waiting for perfect requirements or ideal conditions.
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