Advanced Software Engr

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

• Serve as a senior developer 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
• Proven experience as an Edge/Cloud Architect/Developer — 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
• Experience with observability/monitoring tooling for distributed systems (Prometheus, Grafana, etc.)
• Strong communication skills — able to work with distributed teams and represent architecture decisions to stakeholders
• Ability to translate complex business, product, and infrastructure requirements into pragmatic technical designs, roadmaps, and implementation plans
• Experience establishing engineering best practices for CI/CD, secure software delivery, infrastructure as code, observability, reliability, and operational excellence

Nice to Have

• Experience with edge security and zero-trust patterns
• Background in a regulated or industrial IoT domain (manufacturing, telecom, energy, etc.)
• Prior experience standing up a new architecture practice or Center of Excellence (COE)
• Experience with developer portals, golden paths, service catalogs, internal platforms, or Backstage-style enablement experiences
• Cloud certifications or architecture credentials across Azure, Google Cloud, Kubernetes, or related platform technologies