Senior Backend Developer

What you’ll be doing

 Weare much more than our job descriptions, but here is where you will begin:

 As a Senior Software Engineer Data & ML You’ll Be:

 ● Architect, design, test, implement, deploy, monitor and maintain end-to-end backend

 services. You build it, you own it.

 ● Work with people from other teams and departments on a day to day basis to ensure

 efficient project execution with a focus on delivering value to our members.

 ● Regularly aligning your team’s vision and roadmap with the target architecture within your

 domain and to ensure the success of complex multi domain initiatives.

 ● Integrate already trained ML and GenAI models (preferably GCP in services.

ROLE:

 Whatyou’ll need,

 Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

 What Makes You a Great Fit

 ● 5 years of proven work experience as a Backend Python Engineer

 ● Understanding of software engineering fundamentals OOPS, SOLID, etc.)

 ● Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,

 Lang chain/LLamaIndex etc.

 ● Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being

 proficient in Python

 ● Hands-on Experience with frameworks such as Django or FastAPI or Flask

 ● Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)

 ● Extensive experience integrating with or creating REST APIs

 ● Experience with creating and maintaining CI/CD pipelines- we use GitHub Actions.

 ● Experience with event-driven architectures like Kafka, RabbitMq or equivalents.

 ● Knowledge about:

 o LLMs

 o Vector stores/databases

 o PromptEngineering

 o Embeddings and their implementations

 ● Somehands-onexperience in implementations of the above ML/AI will be preferred

 ● Experience with GCP/AWS services.

 ● You are curious about and motivated by the future trends in data, AI/ML, analytics

Role overview

• Overall 5 to 7 years of experience. Node.js experience is must.
• At least 3+ years of experience or couple of large-scale products delivered on microservices.
• Strong design skills on microservices and AWS platform infrastructure.
• Excellent programming skill in Python, Node.js and Java.
• Hands on development in rest API’s.
• Good understanding of nuances of distributed systems, scalability, and availability.

What would you do here

• To Work as a Backend Developer in developing Cloud Web Applications
• To be part of the team working on various types of web applications related to Mortgage Finance.
• Experience in solving a real-world problem of Implementing, Designing and helping develop a new Enterprise-class Product from ground-up.
• You have expertise in the AWS Cloud Infrastructure and Micro-services architecture around the AWS Service stack like Lambdas, SQS, SNS, MySQL Databases along with Dockers and containerized solutions/applications.
• Experienced in Relational and No-SQL databases and scalable design.
• Experience in solving challenging problems by developing elegant, maintainable code.
• Delivered rapid iterations of software based on user feedback and metrics.
• Help the team make key decisions on our product and technology direction.
• You actively contribute to the adoption of frameworks, standards, and new technologies.

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

• The developer should be well conversant with principles of clean codeand refactoring practices.
• The developer should have experience writing unit and integration tests.
• The developer should be conversant with agile development practices.
• Prior experience in Python is a good to have but the developer should be willing to do development in Python.
• The developer is expected to collaborate with developers from other teams as well as business stakeholders in India and in US to design and develop business requirements.