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.

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

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

About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.