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求人Honeywell

Lead Software Engineer (AI Platforms & SaaS Solutions)

Honeywell

Lead Software Engineer (AI Platforms & SaaS Solutions)

Honeywell

Atlanta, GA, United States, US

·

On-site

·

Full-time

·

1mo ago

必須スキル

Python

Java

AWS

Kubernetes

GCP

Azure

We are hiring a Lead Software Engineer – AI Platforms & SaaS Solutions to help build the next generation of Honeywell’s Life safety platforms. The ideal candidate should bring strong experience in software engineering, cloud-native SaaS platforms, cloud diagnostics solutions, and new product introduction (NPI), along with 2+ years of hands-on experience building agentic AI / AI workplace solutions. This leader will help define, build, and launch scalable AI-enabled platform capabilities that drive intelligent workflows, diagnostics, and next-generation cloud services for connected life safety products.

You will report directly to our Director, Software Engineering and you’ll work out of our Atlanta, GA location on a Hybrid work schedule.

In this role, you will impact the business by deriving actionable insights that optimize processes, reduce costs, and identify growth opportunities, positioning Honeywell at the forefront of data-driven innovation.

YOU MUST HAVE

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field
  • Significant experience in software engineering, cloud platform development, or SaaS application development
  • At least 2+ years of experience developing agentic AI / AI workplace / AI-enabled workflow solutions
  • Proven experience delivering successful new product introductions (NPI) to market
  • Strong experience building and scaling SaaS platforms
  • Experience developing cloud-based diagnostics, monitoring, or remote service solutions
  • Strong programming experience in modern languages such as Python, Java, C#, or similar
  • Experience building and deploying solutions on Azure, AWS, or GCP
  • Strong understanding of APIs, microservices, distributed systems, and cloud-native architectures
  • Demonstrated ability to work across cross-functional teams and convert complex business problems into scalable technical solutions

WE VALUE

  • Master’s degree in a relevant technical discipline
  • Experience with AI/ML, LLMs, generative AI, copilots, RAG, or agent-based systems
  • Experience building enterprise-grade platforms with strong focus on availability, security, and performance
  • Strong understanding of data pipelines, MLOps, observability, model integration, and production AI operations
  • Experience in predictive analytics, anomaly detection, diagnostics, IoT, or digital twin environments
  • Experience with containers, Kubernetes, CI/CD pipelines, and Dev Sec Ops practices
  • Experience in life safety, building automation, industrial automation, or other mission-critical domains
  • Strong product mindset with the ability to link software architecture decisions to customer value and commercial outcomes
  • Strong communication and technical leadership skills

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity :click here

KEY RESPONSIBILITIES

  • Lead the architecture, design, and implementation of next-generation software capabilities for life safety solutions
  • Build and scale AI-enabled platform services, intelligent workflows, and cloud-native application capabilities that drive customer and business value
  • Develop and enhance SaaS platform architecture supporting diagnostics, monitoring, predictive insights, and decision support
  • Design and implement agentic AI / AI workplace solutions, including intelligent assistants, workflow automation, recommendations, and orchestration services
  • Partner closely with product management, software engineering, UX, cloud, and business leaders to define requirements, technical roadmaps, and MVP execution plans
  • Drive new product introduction (NPI) efforts from concept through prototyping, validation, launch, and market adoption
  • Build highly scalable, secure, and reliable cloud services using modern software engineering practices
  • Develop cloud diagnostics solutions for connected devices, systems, and enterprise applications
  • Establish engineering best practices for software quality, observability, performance, maintainability, and operational excellence
  • Mentor engineers and provide technical leadership across architecture, design reviews, and implementation
  • Stay current with advances in AI, cloud, and platform engineering to help shape the long-term innovation strategy for the business

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

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模擬応募者数

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Honeywellについて

Honeywell

Honeywell

Public

Honeywell International Inc. is an American publicly traded, multinational conglomerate corporation headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building automation, industrial automation, and energy and sustainability solutions (ESS).

10,001+

従業員数

Charlotte

本社所在地

$130B

企業価値

レビュー

2.3

2件のレビュー

ワークライフバランス

2.5

報酬

3.5

企業文化

2.0

キャリア

2.0

経営陣

1.5

15%

友人に勧める

良い点

Good compensation potential

Competitive pay scale

改善点

Poor communication from recruiters

Inadequate safety training

Poor management response to incidents

給与レンジ

901件のデータ

Mid/L4

Senior/L5

Mid/L4 · Data Analyst II

2件のレポート

$136,600

年収総額

基本給

$105,077

ストック

-

ボーナス

-

$136,600

$136,600

面接体験

3件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

33%

体験

ポジティブ 0%

普通 33%

ネガティブ 67%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Assessment/Testing

5

Final Interview

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit