IOT Technical Architect

• Define architecture patterns for AI-native capabilities, APIs, event-driven services, observability, resiliency, and performance at enterprise scale.
• Evaluate technology options and define pragmatic technical direction across cloud, APIs, event-driven services, integrations, observability, and automation.

• Technical Leadership & Delivery
• Spend 50%+ of time on hands-on technical work including coding, design reviews, debugging, performance tuning, AI-assisted development, and complex issue resolution.

• Translate business and product needs into practical architecture decisions, technical roadmaps, and delivery-ready engineering plans.

• Write production-quality code daily in Java and/or Python, while also guiding implementation across TypeScript/JavaScript, React, APIs, and distributed platform services.

• Guide engineers through complex design and implementation trade-offs while ensuring solutions remain practical, supportable, and delivery ready.
• Lead technical staff through architecture execution, sprint delivery, code reviews, quality gates, and production readiness activities.
• Partner with product owners, business stakeholders, architects, QA, DevOps, and infrastructure teams to ensure technical delivery aligns with business outcomes.
• Own technical delivery risks, remove engineering blockers, and ensure designs are implemented with measurable quality, reliability, and performance outcomes.

• Enterprise Platform & Integration Expertise

• Design enterprise-grade integration patterns across internal systems, external platforms, APIs, data pipelines, and real-time/event-driven architectures.

• Understand infrastructure layers from Kubernetes and cloud-native runtime operations to GPU inference stacks, model-serving patterns, and scalable workload deployment.

• Ensure solutions are observable, secure, resilient, cost-aware, and supportable in production environments.

• Establish strong practices across automated testing, CI/CD, observability, rollout safety, incident response, production support, and operational excellence.

• Create reusable technical patterns, reference architectures, documentation, and engineering playbooks to standardize delivery across teams.

We are seeking a hands-on technical architect to design and deliver highly scalable, reliable, secure, and fault-tolerant enterprise systems for IOT with an AI first mindset. This role combines deep Java engineering expertise with practical architecture ownership and day-to-day leadership of technical staff. The ideal candidate can write production-quality code, guide design decisions, remove delivery blockers, and raise the engineering bar across the team., * AI-first engineering mindset with hands-on ability to rapidly prototype and productionize solutions using modern AI coding tools such as Claude Code, Git Hub Copilot, and similar systems

• Expert hands-on Java engineering depth, including JVM internals, compiler behavior, concurrency, memory management, and performance optimization
• Proven ability to design highly scalable, reliable, secure, and fault-tolerant enterprise platforms with clear trade-off decisions within IoT platforms, Building Management Systems, connected equipment, telemetry environments
• Lead from the front by setting technical direction, reviewing designs and code, mentoring engineers, and unblocking complex delivery challenges
• Delivery-focused technical leadership with accountability for architecture quality, engineering execution, and production readiness, * Bachelor's, Master's, or equivalent experience in Computer Science, Software Engineering, Information Technology, or related technical discipline with 10+ years building and operating enterprise software
• Within 10+ years -

• 8 years of hands-on Java engineering experience with deep knowledge of JVM internals, compiler behavior, concurrency, memory management, and performance tunin
• 5+ years leading architecture across applications, platform, data, cloud-native services, APIs, integrations, and high-availability production platforms

• Demonstrated experience designing highly scalable, reliable, secure, fault-tolerant, and production-ready enterprise systems
• Strong architecture experience with microservices, APIs, event-driven architecture, integration design, DevSecOps, observability, and cloud-native engineering patterns
• Experience applying AI-native development practices, AI/ML or GenAI services, automation frameworks, and intelligent system design patterns
• Familiarity with multi-agent systems, skills, MCP integrations, agent-to-agent tooling.
• Hands-on experience building modern full-stack and platform systems using technologies such as TypeScript/JavaScript, React, Python, Go, Java, APIs, and distributed infrastructure
• Ability to leverage AI coding tools such as Claude Code, Git Hub Copilot and similar systems to improve engineering productivity and development workflows
• Proven ability to lead technical teams while remaining hands-on in design, coding, code reviews, troubleshooting, and delivery execution
• Strong judgment, communication, and cross-functional leadership skills, with the ability to prosper in unclear environments and stay highly hands-on through delivery

Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member's contributions and offers a supportive environment for career development. Come, stay, and grow with us.