Sr Advanced Software Engr

We are looking for a Senior Advanced SW Engineer to serve as Lead of our Edge / Cloud Platform. This person will own the technical direction for edge computing solutions and will also support architecture reviews across other applications in the portfolio. This is a hands-on architecture role — deep technical ownership combined with cross-team influence.

Key Responsibilities

• Serve as Lead Architect driving the design and delivery of the Forge Cognition edge computing initiative

• Define and own edge architecture patterns for distributed, resource-constrained, and disconnected/intermittently-connected environments

• Architect and operationalize workloads on Google Distributed Cloud (GDC) (edge and/or hosted, depending on program needs)

• Design, build, and scale Kubernetes-based deployments for edge and cloud (Azure, GCP, Alibaba)

• Lead cloud & hybrid architecture for scalability & resilience.

• Build and maintain Ansible-based automation for provisioning, configuration management, and fleet operations across distributed edge nodes

• Develop core services, tooling, and integrations in Python

• Architect solutions for IoT device connectivity, telemetry ingestion, data pipelines, and device lifecycle management

• Enhance the Platform Engineering and developer enablement platform by creating reusable templates, self-service workflows, deployment guardrails, documentation, and automation that improve engineering velocity and consistency

• Participate in and lead architecture review boards for other applications across the org, providing technical guidance and best-practice recommendations

• Partner with product, platform, and infra teams to ensure edge solutions are secure, observable, and production-ready

• Mentor engineers and help raise the technical bar across teams

Required Skills & Experience

• Proven experience as an Edge/Cloud Architect — designing systems for distributed/edge computing environments

• Strong hands-on expertise with Ansible (playbooks, roles, automation at scale)

• Expert-level Python development skills

• Deep, production-grade experience with Kubernetes (cluster design, operators, networking, security, troubleshooting)

• Hands-on experience with Google Distributed Cloud (GDC) or comparable distributed cloud/edge platforms

• Practical IoT experience (device management, connectivity protocols, telemetry/data pipelines)

• Experience acting as a lead/principal architect, including running or contributing to architecture review processes