招聘
必备技能
Python
Java
AWS
Docker
Kubernetes
Azure
Machine Learning
Sr. IT Engineer
You will report directly to our Director, IT and you’ll work out of our Madurai, India location on a Hybrid work schedule.
In this role, you will impact the development and implementation of advanced AI automation solutions, enhancing our operational capabilities and delivering exceptional value to our customers.
At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.
YOU MUST HAVE
- Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics.
- 5+ years of experience in IT engineering with a focus on DevOps practices.
- Strong knowledge of automation tools and methodologies.
- Proficiency in programming languages such as Python, Java, or similar, along with experience in cloud platforms like AWS or Azure.
- Experience with CI/CD tools and practices to streamline development and deployment processes.
- 5+ Service Now development Experience
WE VALUE
- Master’s degree in Computer Science, Information Technology, or a related field.
- Experience in AI and machine learning technologies.
- Strong analytical and problem-solving skills.
- Ability to work in an agile development environment.
- Familiarity with containerization technologies such as Docker or Kubernetes.
KEY RESPONSIBILITIES
- Design, develop, and implement DevOps practices to enhance the efficiency of AI automation projects.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Monitor and optimize system performance, ensuring high availability and reliability.
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关于Honeywell

Honeywell
PublicHoneywell 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+
员工数
Charlotte
总部位置
$130B
企业估值
评价
2.3
2条评价
工作生活平衡
2.5
薪酬
3.5
企业文化
2.0
职业发展
2.0
管理层
1.5
15%
推荐给朋友
优点
Good compensation potential
Competitive pay scale
缺点
Poor communication from recruiters
Inadequate safety training
Poor management response to incidents
薪资范围
901个数据点
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2份报告
$136,600
年薪总额
基本工资
$105,077
股票
-
奖金
-
$136,600
$136,600
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
录用率
33%
体验
正面 0%
中性 33%
负面 67%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Assessment/Testing
5
Final Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
新闻动态
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4d ago
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