Software Engineer

Ford

10 - 15 years

13 - 14 Lacs

chennai

Posted:2 weeks ago| Platform:

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Skills Required

computer science apache camel interpersonal skills nosql rdbms coding cassandra performance testing sql hbase

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 eCommerce 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.

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