IN-Software Engineer

Scope:

• 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:

• Software: Java, Python, Jupyter notebook, GIT
• Application Architecture: Scalable, Resilient, event-driven, secure multi-tenant Microservices architecture
• Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
• Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle GIT, Ignite

What you’ll do:

• Work closely with the application teams to understand the problem they are looking to solve.
• Identify innovative approaches and options, and develop POCs to validate the solution quality and feasibility.
• 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
• 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.