DevOps Architect

Job Overview o9 is seeking a seasoned DevOps Architect to lead the design, implementation, and optimization of our DevOps processes, toolchains, and cloud infrastructure. This senior individual contributor role will serve as a trusted technical authority, influencing architectural decisions and shaping engineering culture across the organization. Responsibilities Architecture & Design Lead Architect end-to-end scalable, secure, and high‑performing DevOps solutions for enterprise‑grade deployment pipelines. Own the DevOps reference architecture, establishing standards, patterns, and guardrails adopted across the organization. Evaluate emerging technologies and recommend toolchain investments; design multi‑cloud and hybrid infrastructure strategies. Toolchain Development & Automation Develop, evaluate, select, and integrate best‑in‑class tools across CI/CD, IaC, container orchestration, monitoring, and security. Drive automation of infrastructure provisioning, deployment, and testing pipelines; champion IaC practices using Terraform, Ansible, and similar tools. Build and maintain robust CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) to enable rapid, reliable delivery across environments. Champion adoption of AI‑powered DevOps tooling to reduce toil and accelerate delivery. Technical Leadership & Mentorship Mentor and coach engineers on DevOps methodologies, cloud‑native patterns, and platform engineering best practices. Conduct architecture reviews, set a high technical bar, and collaborate with engineering managers and product leadership to align DevOps strategy with business goals. Contribute to hiring and technical interviewing to grow the DevOps and platform engineering function. Monitoring, Reliability & Security Design comprehensive observability solutions—monitoring, distributed tracing, centralized logging, and alerting—to ensure platform health and rapid incident response. Define and enforce SLOs, SLIs, and error budgets; integrate DevSecOps practices and ensure compliance with SOC 2, ISO 27001, and relevant regulatory frameworks. Lead vulnerability assessments and implement secrets management strategies. Customer & Operational Support Provide expert‑level support for complex infrastructure and SaaS platform issues, including root cause analysis and preventive remediation. Participate in on‑call rotations for 24/7 incident response; collaborate effectively with globally distributed teams across time zones. Experience & Qualifications 10+ years in DevOps, platform engineering, infrastructure, or SRE roles, with at least 3 years in a senior architect or technical lead capacity. Demonstrated ability to design and deliver enterprise‑scale DevOps solutions in complex, multi‑team environments. Background supporting SaaS applications in production, including incident management, performance tuning, and continuous improvement. Bachelor’s degree in Computer Science, Software Engineering, IT, or related field required; Master’s preferred. Advanced certification in AWS, Azure, or GCP (Solutions Architect Professional, DevOps Engineer Expert, Professional Cloud Architect) preferred. Certifications in Kubernetes (CKA/CKAD), HashiCorp Terraform, or security frameworks (CISSP, CompTIA Security+) are a plus. Technical Skills Deep expertise in at least one major cloud platform (AWS, Azure, or GCP) with working knowledge of multi‑cloud architectures. Proficiency with Docker, Kubernetes, and equivalent orchestration platforms (ECS/EKS, AKS, GKE); hands‑on experience with Terraform, Pulumi, Ansible, or CloudFormation. Solid command of CI/CD tooling (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI) and scripting languages (Python, Bash, Go, or Ruby). Experience administering MS SQL Server and MongoDB; working knowledge of Linux and Windows administration, networking fundamentals, and observability platforms (Datadog, Prometheus/Grafana, Splunk, ELK). AI Literacy & Innovation Practical understanding of AI/ML applied to DevOps, including AI‑assist coding tools, AIOps platforms, and LLM‑powered automation. Experience evaluating and integrating AI‑powered DevOps tooling—predictive scaling, intelligent test selection, automated security scanning—while assessing tradeoffs in accuracy, cost, and reliability. Familiarity with infrastructure patterns supporting AI/ML workloads (GPU compute, model serving, vector databases, ML pipeline orchestration). Leadership & Collaboration Exceptional communicator, able to translate complex technical concepts for both engineering peers and executive stakeholders. Strong mentorship instincts with a passion for growing engineers and fostering a culture of continuous learning and operational excellence. Proven ability to manage multiple high‑priority work streams and comfortable in a globally distributed environment across time zones. Compensation & Benefits This position has an annual salary range of $169,793–$233,466. Eligible for medical, retirement, and other company‑sponsored benefits. The stated range may vary based on location, skills, experience, certifications, licenses, or other relevant factors. o9 is an equal‑opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. #J-18808-Ljbffr