Honeywell is seeking a seasoned Lead Software Engineer to serve as a Platform Architect and Technical Lead for our Common Services organization. In this high-impact role, you will define, design, and deliver enterprise-grade platform capabilities that underpin Honeywell's next-generation connected products and digital solutions. You will be the technical authority across Kubernetes-based infrastructure, API management, CI/CD pipelines, AI/ML platforms, and SRE practices - enabling hundreds of engineers to build and ship faster and more reliably.
This role demands a rare blend of deep architectural vision, hands-on engineering excellence, and the leadership ability to guide cross-functional teams. You will collaborate directly with product managers, senior engineering leaders, and external partners to shape the platform strategy that powers Honeywell's global digital transformation.
Required Qualifications:
- 10–15+ years of progressive software engineering experience with a strong platform or infrastructure engineering focus
- Proven track record as a technical architect or lead engineer delivering large-scale distributed systems in enterprise environments
- Deep hands-on expertise with Kubernetes in production (CKA/CKAD certification strongly preferred)
- Strong proficiency in Python for building services, automation frameworks, and tooling
- Extensive experience with Ansible for configuration management and infrastructure automation
- Demonstrated expertise designing and operating CI/CD pipelines at enterprise scale
- Experience with API management platforms and enforcing API governance across large engineering organizations
- Solid understanding of AI/ML lifecycle management and operationalizing machine learning models
- Hands-on SRE experience: defining SLOs, building observability stacks, and managing production reliability
- Strong knowledge of cloud platforms (Azure, AWS, or GCP) and cloud-native design principles
- Experience in security-first architecture: zero-trust networking, secrets management (Vault/Key Vault), and container security
- Excellent communication skills with the ability to influence senior stakeholders and cross-functional teams
Preferred Qualifications:
- Experience in industrial IoT, operational technology (OT), or connected product platforms
- Familiarity with service mesh technologies (Istio, Linkerd) and eBPF-based networking
- Background with platform engineering and internal developer portal tools (Backstage, Port)
- Exposure to regulatory compliance frameworks (SOC 2, ISO 27001, NERC CIP) in engineering contexts
- Certifications: CKA/CKAD, AWS Solutions Architect, Azure Solutions Architect, or equivalent
- Experience with Terraform or Pulumi for infrastructure-as-code alongside Ansible
Platform Architecture & Technical Leadership
- Architect, design, and govern enterprise-wide common services platforms including container orchestration, API ecosystems, and automation frameworks
- Define technical standards, patterns, and guardrails that promote consistency, scalability, and security across distributed engineering teams
- Lead architectural reviews, proof-of-concepts, and critical design decisions for platform-level initiatives
- Mentor and coach senior engineers; establish a culture of technical excellence, continuous learning, and collaborative problem-solving
Kubernetes & Cloud Infrastructure
- Design and operate production-grade Kubernetes clusters across multi-cloud environments (Azure, AWS, GCP) with high availability and zero-trust security models
- Drive adoption of Helm, Kustomize, and GitOps patterns (Flux/ArgoCD) for declarative infrastructure management
- Lead containerization and migration strategies for legacy workloads to cloud-native architectures
- Define node pool strategies, autoscaling policies, resource quotas, and cluster federation models
API Management & Integration
- Own the end-to-end API management strategy including design, gateway configuration, versioning, lifecycle management, and developer portals
- Evaluate and implement API management platforms (Kong, Apigee, Azure APIM) aligned to Honeywell's enterprise needs
- Define and enforce API governance policies covering authentication (OAuth2/OIDC), rate limiting, observability, and documentation standards
- Enable seamless internal and external API integrations across Honeywell's product portfolio
CI/CD & DevOps Engineering
- Architect and scale enterprise CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, or equivalent tooling
- Implement shift-left quality practices including automated testing, static analysis, DAST/SAST, and policy-as-code
- Drive platform engineering practices: self-service developer toolchains, golden paths, and internal developer portals
- Lead adoption of software supply chain security (SBOM, artifact signing, vulnerability scanning) across delivery pipelines
AI/ML & Cognitive Services
- Architect AI/ML infrastructure including model training pipelines, feature stores, model registries, and scalable inference serving
- Integrate cognitive and generative AI capabilities (LLMs, computer vision, NLP) into Honeywell's product and platform offerings
- Partner with data science teams to operationalize ML models via MLOps frameworks (MLflow, Kubeflow, Azure ML)
- Evaluate and recommend AI/ML tooling and cloud services aligned to business use cases and compliance requirements
Python Development & Automation
- Design and develop high-quality Python-based platform services, automation tools, and internal libraries at scale
- Lead Ansible automation strategy for configuration management, infrastructure provisioning, and compliance enforcement
- Build reusable automation frameworks for self-healing operations, drift detection, and policy enforcement
- Promote clean code practices, code reviews, and software engineering best practices across the platform team
Site Reliability Engineering (SRE)
- Define and implement SRE practices including SLOs, SLIs, error budgets, and reliability roadmaps across critical services
- Drive observability maturity: distributed tracing (Jaeger/OpenTelemetry), centralized logging (ELK/Splunk), and metrics (Prometheus/Grafana)
- Lead incident management processes including blameless post-mortems, runbook automation, and chaos engineering initiatives
- Champion on-call excellence and sustainable reliability engineering culture across development and platform teams
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
