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 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