Scope:
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Work closely with a team of data scientists and collaborate with stakeholders from application teams to research solutions, identify go-forward approaches, develop POCs and determine final solutions
Our current technical environment:
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Software: Java, Python, Jupyter notebook, GIT
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Application Architecture: Scalable, Resilient, event-driven, secure multi-tenant Microservices architecture
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Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
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Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle GIT, Ignite
What you’ll do:
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Work closely with the application teams to understand the problem they are looking to solve.
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Identify innovative approaches and options, and develop POCs to validate the solution quality and feasibility.
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Working with the application teams, finalizing the solution design, and helping develop and ensure the solution quality, as well as performance and scalability, is of the desired levels
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Collaborate with team members and contribute to identifying the solutions and ensuring quality.
What we are looking for:
- Bachelor’s degree (STEM preferred) and minimum 3+ years of experience in Software development; ideally a candidate that has started as a Software Engineer and been working the data science, AI/ML space
- Demonstrated ability to identify and design solutions using AI/ML
- Demonstrable experience with microservices-based architecture on Cloud at scale.
- Hands-on development skills along with architecture/design experience; should not have moved away from software development
- Experience with API management platforms & providing / consuming RESTful APIs
- Experience with DevOps, Infrastructure as Code, and infrastructure automation.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here:
Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.