Sr Advanced Software Engr
Key Skills for This Role
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Qualifications
- 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
- 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
Responsibilities
- 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
Preferred Qualifications
- 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
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