- The primary purpose of this role is to provide technical design for translating business requirements and functional specifications into logical program designs
- This includes facilitating the implementation and maintenance of complex business and enterprise software solutions to ensure successful deployment of released applications
- This role serves as a technical expert using all cutting edge and latest technologies like Reactive programming (Spring Webflux), No-SQL databases like MongoDb, couchDb and cloud platforms like GCP, search engine technologies like Elasticsearch, for project teams throughout the implementation and maintenance of business and enterprise software solutions
- This role have complex challenges to solve like bringing in OMNI experience for cart and Quote across different selling channels like stores , digital and Contact Center
- This role also have to bring in enterprise solution for customer agnostic which helps both PRO customers and DIY customers
- In addition, this role personally develops and delivers code modules, stable application systems, and integrated enterprise software solutions within various computing environments
Roles & Responsibilities
- Person will be creating high and low level design and having creative thinking.
- Responsible for implementations of functional as we'll technical features with technical expertise.
- Responsible for thinking broadly to cover all aspects of any implementations.
- Person will be responsible to write effective code and apply thought process before starting any implementation.
- Maintain the code quality, write junits and automation test cases.
- Person will driving communication & Collaboration with partner teams.
- Person will be responsible for writing code, system & integration testing, ensuring deployments to various environments.
- Person will be responsible for validating application performance.
- Providing support for production roll outs and stability of the product.
- Responsible to step forward to take technical initiative and challenges.
Years of Experience
- 8 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a masters or doctorate degree)
- 8 years of programming experience (fewer years may be accepted with a masters or doctorate degree)
- 5 years of SQL experience and knowledge of various statistical modeling or machine learning techniques
- Bachelors degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)
- Candidates with Doctorate or masters degree are preferred
- 5+ years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement
- 5+ years experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
- 5+ years experience in database technologies
- Experience in system designing and build enterprise level design will be added advantages.
Education Qualification & Certifications
Bachelors Degree or Master Degree in Computer Science, CIS, or related field
Primary Skills (Must Have)
Data Structures
Object Oriented Programming concepts
Design Patterns
Strong hand on experience with Java and OOPs concepts
Spring, SpringBoot, SpringCloud or Micronaut, webflux.
Reactive Programming (Preferred)
REST Services and Microservices Architecture
One or more Relational and NO-SQL databases (MongoDB & Postgress preferable)
One or more CI/CD tools like Jenkins, GOCD, CircleCI
One or more Test automation tools like xUnit , Selenium, JMeter
One of the cloud platforms (Preferable GCP)
Kubernetes and Docker (Preferable)
Messaging technologies like Kafka.
Must should good and effective communication skills.
Good attitude towards learning new things and taking initiatives.
- Good team player as we'll as individual contributor.
