Software Architect

1 month ago

India Wellness Coach Full time

Company Description


Wellness Coach is a global wellness platform that inspires and engages workforces through personalized wellness offerings. We offer Challenges, Coaching, Rewards, Next Generation EAP, and Weight Management to support mental and physical health. Our high-impact solutions integrate with MS Teams, Slack, and Zoom to enhance engagement, accessibility, and productivity, fostering a healthier workforce. Join us today as we embark on creating a healthier and happier workforce.


We are at the forefront of bringing generative AI and Wellness together.


We are backed by Softbank NY, Zoom Ventures and Accomplice. 


Role Overview:

This role is critical for architecting a system that can handle enterprise-level scalability and data processing challenges. You will spearhead the design of data pipelines and tuning strategies to feed and optimize machine learning algorithms, ensuring our platform can deliver personalized and predictive wellness solutions.



Key Responsibilities:


  • Design and implement a scalable architecture using the latest stack like MERN, Django, J2EE with a focus on optimizing micro-service architecture
  • Develop and manage CLOUD-based data pipelines for large-scale data collection, processing, and analysis, utilizing services like AWS Glue, Kinesis, and S3.
  • Architect efficient data storage and retrieval systems using NoSql/Sql , ensuring data integrity and speed for real-time analytics.
  • Implement robust queuing systems (e.g., Kafka, RabbitMQ) for asynchronous data processing and workload management.
  • Design SSO,Active Directory and OAuth solutions that meet enterprise security standards, focusing on data privacy and user authentication.
  • Automate development, deployment, and testing workflows, integrating tools like Jenkins, Selenium, and Ansible for CI/CD and JIRA for project management.
  • Lead the integration of AI/ML models into the platform, focusing on data tuning, algorithm optimization, and real-time personalization.
  • Mentor the engineering team in data engineering best practices, ML model development, and system design patterns.
  • Evaluate emerging technologies and methodologies, recommending strategic directions that enhance our data capabilities and product offerings.


Requirements:


  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
  • 10+ years of experience in software development and architecture, with a strong focus on data engineering and machine learning.
  • Expertise in the MERN and React Stack, and extensive experience with AWS for building data-intensive applications.
  • Proven experience in designing data pipelines, data storage, and processing systems for ML model training and inference.
  • Knowledge of queuing systems, data streaming, and event-driven architecture.
  • Strong understanding of security protocols, data privacy, and compliance within a scalable cloud environment.
  • Experience with automation tools for CI/CD, testing, and project management.
  • Excellent leadership, communication, and mentoring skills.

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