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We are looking for an experienced Senior Backend Engineer to lead the design and development of scalable, cloud-native backend systems and AI-powered platforms. You will be responsible for architecting highly available microservices, designing APIs, building data processing pipelines, and developing backend systems that support large-scale NLP and AI workloads.
This role requires strong expertise in backend development using Python and Node.js , deep experience with AWS cloud services, and hands-on knowledge of processing large datasets to build enterprise AI solutions. You will work closely with architects, data scientists, frontend engineers, DevOps, and product teams to deliver secure, high-performance applications.
We are looking for an experienced Senior Backend Engineer to lead the design and development of scalable, cloud-native backend systems and AI-powered platforms. You will be responsible for architecting highly available microservices, designing APIs, building data processing pipelines, and developing backend systems that support large-scale NLP and AI workloads.
This role requires strong expertise in backend development using Python and Node.js , deep experience with AWS cloud services, and hands-on knowledge of processing large datasets to build enterprise AI solutions. You will work closely with architects, data scientists, frontend engineers, DevOps, and product teams to deliver secure, high-performance applications.
Design and develop scalable backend applications using Python and Node.js
Build secure, high-performance RESTful APIs and asynchronous event-driven services.
Design modular, reusable, and maintainable software following industry best practices.
Lead backend architecture discussions.
Optimize application performance, scalability, and reliability.
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Design and implement large-scale document and data processing pipelines.
Build backend systems supporting AI and NLP workloads.
Develop services for processing structured and unstructured datasets.
Integrate Large Language Models (LLMs) and other AI services into enterprise applications.
Collaborate with AI/ML engineers to deploy production-ready machine learning models.
Optimize AI inference pipelines for performance and cost.
Design, deploy, and manage cloud-native applications using AWS services including:
Amazon EKS
AWS Lambda
Amazon EC2
Amazon S3
Amazon RDS
Amazon ECS
IAM
CloudWatch
EventBridge
SQS/SNS
API Gateway
Secrets Manager
CloudFront
Responsibilities include:
Designing highly available cloud architectures.
Infrastructure automation.
Performance optimization.
Cost optimization.
Security best practices.
Disaster recovery planning.
Design scalable database schemas.
Optimize SQL queries and indexing strategies.
Work with relational and NoSQL databases.
Build ETL/data ingestion pipelines.
Handle large-scale data migration and processing.
Ensure data integrity, consistency, and high availability.
Build and maintain CI/CD pipelines.
Containerize applications using Docker.
Deploy applications to Kubernetes (Amazon EKS).
Implement logging, monitoring, and observability solutions.
Improve deployment automation and operational efficiency.
Mentor junior and mid-level engineers.
Conduct architecture and code reviews.
Define engineering standards and best practices.
Participate in sprint planning and technical estimation.
Collaborate with cross-functional teams to deliver high-quality solutions.
Python (Expert)
Node.js (Expert)
JavaScript / TypeScript
REST APIs
GraphQL
Microservices Architecture
Event-Driven Architecture
Message Queues
Asynchronous Processing
API Security
Authentication & Authorization (OAuth2, JWT)
React.js
Next.js
Strong hands-on experience with:
VPC
Route 53
Elastic Load Balancer
Auto Scaling
SQS
SNS
AWS Secrets Manager
PostgreSQL
MySQL
MongoDB
Redis
Elasticsearch/OpenSearch (preferred)
Annova Solutions is a private healthcare services company providing medical-record retrieval, risk-adjustment coding, and compliance support to health plans and providers.
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Senior · 5+ years experience
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