Hi, I’m Vanita, a Senior Software Engineer with 8+ years of experience building scalable Python-based platforms across cybersecurity, healthcare, and HR SaaS domains. I specialize in cloud-native architectures, data engineering, and AI-driven analytics, including anomaly detection, ML pipelines, and large-scale data processing. I have a strong background deploying secure, compliant, and highly available enterprise-grade platforms on Azure and AWS. I enjoy mentoring engineers, collaborating across product, security, and data science teams, and delivering business-impacting solutions by combining robust software design with thoughtful data governance, observability, and automation.

Vanita J Naidu

Hi, I’m Vanita, a Senior Software Engineer with 8+ years of experience building scalable Python-based platforms across cybersecurity, healthcare, and HR SaaS domains. I specialize in cloud-native architectures, data engineering, and AI-driven analytics, including anomaly detection, ML pipelines, and large-scale data processing. I have a strong background deploying secure, compliant, and highly available enterprise-grade platforms on Azure and AWS. I enjoy mentoring engineers, collaborating across product, security, and data science teams, and delivering business-impacting solutions by combining robust software design with thoughtful data governance, observability, and automation.

Available to hire

Hi, I’m Vanita, a Senior Software Engineer with 8+ years of experience building scalable Python-based platforms across cybersecurity, healthcare, and HR SaaS domains. I specialize in cloud-native architectures, data engineering, and AI-driven analytics, including anomaly detection, ML pipelines, and large-scale data processing.

I have a strong background deploying secure, compliant, and highly available enterprise-grade platforms on Azure and AWS. I enjoy mentoring engineers, collaborating across product, security, and data science teams, and delivering business-impacting solutions by combining robust software design with thoughtful data governance, observability, and automation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Senior Software Engineer at Varonis
June 1, 2024 - Present
Senior Software Engineer with strong experience building AI-driven data compliance and analytics platform for cyber security products. Expert in cloud-native microservices, data engineering, and AI-driven analytics including anomaly detection, ML pipelines, and large-scale data processing. Strong background in Azure and AWS ecosystems, microservices, event-driven systems, CI/CD, infrastructure as code, and Kubernetes. Experienced delivering secure, compliant, and highly available enterprise platforms, collaborating cross-functionally, and mentoring engineers to drive high-quality, business-impacting solutions.
Python AI Engineer at Just Works
May 1, 2022 - June 1, 2024
Python AI Engineer with experience building and deploying AI and LLM-driven solutions for HR technology and SaaS platforms. Skilled in scalable microservices, RAG-based applications, and ML models using Python, FastAPI, and Flask. Strong background in cloud deployment, MLOps, observability, with focus on data privacy, security, and compliance for sensitive payroll and employee data. Collaborated with product, HR, and compliance teams to translate business requirements into reliable AI-driven features.
Python Engineer at Integral Chain
January 1, 2020 - May 1, 2022
Python Engineer with 2.5 years of experience at Integral Chain, specializing in cloud-native back end development and AWS-based solutions. Strong expertise in Python, Django, Flask, RESTful APIs, SQL and NoSQL databases (Snowflake, DynamoDB, MongoDB, MySQL). Proficient in automating cloud infrastructure with Terraform and Ansible, implementing CI/CD pipelines with Jenkins, and building event-driven architectures with AWS Lambda. Experienced in DevOps, monitoring, and performance optimization, collaborating in Agile cross-functional teams to deliver secure, scalable, and reliable production systems.
Data/Python Engineer at Centene Corporation
June 1, 2017 - December 1, 2019
Data/Python Engineer at Centene Corporation, focusing on cloud-native data and Python-based solutions for health analytics and enterprise platforms. Built large-scale ETL/ELT pipelines on AWS (Glue, Lambda, Step Functions, Redshift) and developed scalable microservices using Flask and FastAPI. Proficient in infrastructure as code (Terraform, AWS CDK), data governance, and observability with CloudWatch, Prometheus, and Grafana. Strong background in HIPAA compliance and secure, scalable cloud architectures supporting clinical and operational data workflows.
Python Developer at Just Works
May 1, 2022 - June 1, 2024
Designed and deployed Python-based AI solutions to support HR, payroll, benefits administration, and compliance automation within a SaaS platform. Built ML and LLM-powered models to improve onboarding and automation, and implemented retrieval-augmented generation (RAG) workflows for policy and benefits documentation. Developed scalable REST APIs and microservices (FastAPI/Flask) and built data pipelines for structured and unstructured data.
Python Engineer at IntegraChain
January 1, 2020 - May 1, 2022
Focused on cloud-native backend development and AWS-based solutions. Built data-intensive microservices enabling ingestion, retrieval, enrichment, and management in support of AI workloads. Implemented CI/CD pipelines with Jenkins, containerized services with Docker/Kubernetes, and deployed serverless components (Lambda, Step Functions). Worked with SQL/NoSQL stores (Snowflake, DynamoDB, MongoDB, MySQL) and data pipelines (ETL/ELT) across 17+ AWS regions.
Python Engineer at Centene Corporation
June 1, 2017 - December 1, 2019
Designed and implemented data-driven solutions for healthcare analytics, member engagement, and claims processing. Built large-scale ETL/ELT pipelines on AWS (Glue, Lambda, Step Functions, Redshift) and backend services using Flask/FastAPI. Instituted data governance and observability with CloudWatch, Prometheus, and Grafana; contributed to HIPAA and SOC 2 compliance initiatives and automated data quality checks and monitoring.

Education

Master of Science in Management of Information Systems at Auburn University
January 11, 2030 - May 1, 2023
Master of Science in Management of Information Systems at Auburn University
January 11, 2030 - May 1, 2023

Qualifications

HIPAA Compliance
January 11, 2030 - February 5, 2026
SOC 2 Compliance
January 11, 2030 - February 5, 2026

Industry Experience

Software & Internet, Healthcare, Professional Services, Other