Platform Architect

StatusNeoSan Ramon, CA

About The Position

StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core. We work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world. Our work is anchored in Authentic AI™ — an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance. At StatusNeo, we don’t just talk about AI transformation. We build it — across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models.

Requirements

  • 8+ years in Cloud/Platform Architecture with deep expertise in complex Java runtime environments, OSGi bundle frameworks, and OSGi dependency graph resolution (package import/export wiring).
  • Proven track record architecting enterprise-scale platform migrations from Jenkins to GitHub Actions workflows.
  • Hands-on experience integrating JFrog (Artifactory, Xray) for enterprise artifact lifecycle management, OSGi bundle resolution, and dependency caching.
  • Mastery of Kubernetes, IaC tools, cloud-native networking, and enterprise identity management frameworks.

Responsibilities

  • Architect the target platform and overall migration strategy for transitioning multi-Release Unit (RU) Java and OSGi enterprise applications from Jenkins to GitHub Actions workflows integrated with JFrog Artifactory.
  • Design architectural patterns to untangle complex Java/OSGi dependency graphs, import/export package relationships, and multi-module release structures into modern, git-centric platform pipelines.
  • Define Infrastructure as Code (IaC) blueprints and standardize containerized deployment patterns across cloud and Kubernetes environments.
  • Establish platform governance, secrets management, identity access controls, and zero-trust security standards across multi-tier deployment environments.
  • Design deployment patterns and automated rollback strategies tailored for enterprise applications with interdependent release units.
  • Collaborate with engineering leadership to optimize build acceleration, build caching via JFrog, build telemetry, and platform cloud cost strategies.
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