DevOps Deployment Architect

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

DevOps Architect

We are seeking a highly skilled DevOps Architect to lead the design, implementation, and optimization of our DevOps processes, toolchains, and cloud infrastructure. The ideal candidate brings deep hands-on expertise alongside the strategic mindset to define long-term infrastructure direction, bridging development, operations, security, and product teams to deliver software reliably and at scale.

Architecture & Design

Lead end-to-end architecture of scalable, secure, high-performing DevOps solutions supporting enterprise-grade deployment pipelines.

Define and own the DevOps reference architecture — establishing standards, patterns, and guardrails adopted across the organization.

design multi-cloud and hybrid infrastructure strategies.

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; Build and maintain robust CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) enabling rapid, reliable delivery across environments.

Champion adoption of AI-powered DevOps tooling — from AI-assisted code review and intelligent test generation to AIOps-driven incident detection — continuously identifying where AI can reduce toil and accelerate delivery.

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.

integrate DevSecOps practices and ensure compliance with SOC 2, ISO 27001, and relevant regulatory frameworks.

Lead vulnerability assessments and implement secrets management strategies across cloud and on-premises infrastructure.

Customer & Operational Support

Provide expert-level support for complex infrastructure and SaaS platform issues, including root cause analysis and preventive remediation.

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, influencing decisions across cross-functional teams.

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; Advanced certification in AWS, Azure, or GCP (e.g., Solutions Architect Professional, DevOps Engineer Expert, Professional Cloud Architect).

Deep expertise in at least one major cloud platform (AWS, Azure, or GCP) with working knowledge of multi-cloud architectures.

Strong proficiency with Docker, Kubernetes, and equivalent orchestration platforms (ECS/EKS, AKS, GKE); 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).

Practical understanding of AI/ML as applied to DevOps — including AI-assisted coding tools (GitHub Copilot, Amazon CodeWhisperer), AIOps platforms for anomaly detection, and LLM-powered automation for incident triage and runbook generation.

Experience evaluating and integrating AI-powered DevOps tooling (predictive scaling, intelligent test selection, automated security scanning) with clear-eyed assessment of tradeoffs in accuracy, cost, and reliability.

GPU compute, model serving, vector databases, and ML pipeline orchestration (Kubeflow, MLflow, SageMaker Pipelines).

Proactive mindset toward emerging technology — translating advancements in AI, platform engineering, and cloud-native ecosystems into actionable improvements for the team.

Additionally, you may be eligible to participate in our medical, retirement, and other company-sponsored benefits.

**At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. o9 is an equal-opportunity employer that values diversity and inclusion.