Lead Software Engr

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 Git Ops 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/Open Telemetry), 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