Jobs
- Strong hands-on experience of at least 10+ years in Java/J2EE/Spring framework/Spring boot
- Experience with the following: Microservices architectures (using Spring boot/Micronaut/Ratpack/Quarkus), Cloud-Native architectures, Event-driven architectures, APIs, Domain-Driven Design, Public Cloud (Google Cloud), Serverless, Kubernetes, Docker, DevOps, building scalable, reliable, available solutions, and/or performance testing.
- Strong technical background with the capability of being hands-on
- Conversant in multiple programming languages. Thorough knowledge of multi-threading, concurrency, and parallel processing concepts including scalability, performance, and consistency characteristics of a microservices driven e Commerce architecture
- Good expertise in REST, Messaging (KAFKA, RABBITMQ, cloud pub/sub etc.), stream processing (SPARK, STORM etc.), NoSQL as well as database Systems (RDBMS, NO SQL Stores like Cassandra, HBase, Mongo, Memcached etc.)
- Experience in Cloud Native systems, Transactional Systems, Multi-Tenancy, five-nines availability and Containerization technologies
- Experience in collaborating and partnering with other technical domain experts such as cloud, security, SRE, and DevOps.
- Experience in building Structured, Semi-Structured and Unstructured data stores with a good understanding of RDBMS, No-SQL databases and strong exposure to data modelling, data access patterns, data replication, active-active polyglot persistence setup.
- Experience in implementation of CQRS and staged event driven applications on Spring integration/Apache Camel/Mulesoft platforms
- Excellent communication and interpersonal skills
- Ability to work effectively in a remote/virtual work setting with other global team members
- Proven facilitation skills - able to effectively drive discussion among diverse perspectives and reach a decision or recommendation
- Effectively work with cross-functional teams across the organization – inside and outside of the technology and software organization
- Experience in using AI coding assistants or LLM extensively for improved productivity.
- Minimum 12+ years
- BE in computer science or an equivalent course
- Work from office on minimum 4 days a week
- Responsible for overall design and evolution of one or mode modules (Microservices) in one of the e Commerce products. Ideal candidates will research the existing application footprint and recommend solutions to run application workloads in futuristic Architecture landscape
- Bring commerce platform engineering expertise and experience to significantly improve Ford’s current capabilities and ensure these platforms can grow to meet increasing demands
- Design, build POCs on latest cutting-edge technologies as well as contribute to constructing, deploying highly scalable and robust cloud based intelligent solutions.
- Contribute to Ford’s Product Driven Organization (PDO) model by identifying improvements and areas that help to reduce dependencies and increase autonomy for teams to delivery.
- Responsible for developing new capabilities as well as maintain a Global product (27 markets) that supports both Ford's Vehicle and Non Vehicle ecommerce business, set to expand across multiple business lines.
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About Ford
Ford
PublicThe Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.
10,001+
Employees
Dearborn
Headquarters
$48B
Valuation
Reviews
3.3
10 reviews
Work-life balance
3.8
Compensation
3.5
Culture
2.7
Career
2.2
Management
2.4
45%
Recommend to a friend
Pros
Good benefits
Decent work-life balance
Remote work flexibility
Cons
Poor management quality
Limited career growth opportunities
High turnover rates
Salary Ranges
21 data points
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1 reports
$132,847
total per year
Base
$102,190
Stock
-
Bonus
-
$132,847
$132,847
Interview experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview process
1
Application Review
2
Phone Screening
3
Technical Interview
4
Team Interview
5
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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