The Role
Designs, develops, tests, deploys, and supports enterprise backend services, microservices, RESTful APIs, and data-driven applications using C#, .NET, SQL, and AWS. Responsibilities include database optimization, secure API development, cloud deployment, CI/CD, automated testing, production troubleshooting, monitoring, documentation, and cross-functional collaboration. The role may also integrate LLM and AI services, RAG pipelines, vector databases, messaging systems, and event-driven architectures.
Summary Generated by Built In
This is a remote position.
Overview :
The Backend Developer will design, develop, test, deploy, and support enterprise-grade backend services and APIs. This role will primarily focus on building scalable microservices, RESTful APIs, and data-driven applications using C#, .NET, SQL, and AWS.
The developer will work closely with architecture, product, data engineering, application engineering, and governance teams to deliver secure, reliable, and maintainable backend solutions that integrate with enterprise platforms and business workflows.
This is a hands-on engineering role requiring strong backend development fundamentals, independent execution, clean coding practices, and the ability to build production-ready services. Foundational knowledge of LLMs and AI-enabled integrations is expected as a value-add skill to support emerging enterprise AI use cases.
Key Responsibilities
•Design, develop, test, and deploy scalable backend services and microservices using C# and .NET Core / .NET.
•Build and maintain secure, well-documented RESTful APIs for internal and external enterprise applications.
•Develop backend components that integrate with SQL databases, enterprise systems, third-party services, and cloud-native platforms.
•Design and optimize database schemas, stored procedures, queries, and data access layers to ensure performance, reliability, and data integrity.
•Implement microservices-based architecture patterns, including service-to-service communication, API gateways, resiliency, logging, and monitoring.
•Deploy and support backend applications on AWS using cloud-native services, containerized workloads, serverless components, or managed infrastructure.
•Collaborate with architects, product owners, data engineers, and application teams to understand requirements and deliver reliable backend solutions.
•Implement secure coding practices, authentication, authorization, secrets management, audit logging, and role-based access controls.
•Participate in code reviews, technical design discussions, troubleshooting, production support, and performance tuning activities.
•Build reusable backend components, API libraries, integration services, and common utilities to improve development efficiency.
•Support CI/CD pipelines, automated testing, deployment automation, and environment configuration.
•Integrate backend services with LLM-enabled capabilities where required, such as connecting APIs to AI services, RAG pipelines, vector databases, or LLM endpoints.
•Create and maintain technical documentation covering architecture, APIs, data flows, deployment steps, dependencies, and operational procedures.
Required Qualifications
•Bachelor’s or master’s degree in computer science, Software Engineering, Information Technology, or a related technical field.
•Strong hands-on experience developing production-grade backend applications using C# and .NET Core / .NET.
•Proven experience designing, developing, and maintaining RESTful APIs and enterprise backend services.
•Strong understanding of microservices architecture, distributed systems, API design, and backend integration patterns.
•Strong SQL skills, including database design, query development, optimization, indexing, and performance tuning.
•Experience working with AWS cloud services and deploying applications in cloud-based environments.
•Experience with API security, authentication, authorization, logging, exception handling, and secure coding practices.
•Familiarity with CI/CD pipelines, Git-based version control, automated builds, testing, and deployment processes.
•Good understanding of object-oriented programming, design patterns, data structures, asynchronous programming, and clean code principles.
•Experience troubleshooting production issues, analyzing logs, identifying performance bottlenecks, and supporting application reliability.
•Ability to work independently, collaborate with cross-functional teams, and deliver high-quality technical solutions in an enterprise environment.
Preferred Qualifications
•Basic knowledge of LLMs, prompt engineering, AI service integration, or LLM-powered application workflows.
•Experience in integrating backend APIs with AI/LLM platforms such as Azure OpenAI, AWS Bedrock, OpenAI, Anthropic Claude, Google Gemini, or similar services.
•Familiarity with Retrieval Augmented Generation concepts, embeddings, semantic search, or vector databases such as OpenSearch, Pinecone, or pgvector.
•Experience with messaging systems and event-driven architecture using Kafka, RabbitMQ, AWS SQS/SNS, or similar technologies.
•Experience with containerization and orchestration tools such as Docker and Kubernetes.
•Experience with AWS services such as Lambda, API Gateway, ECS, EKS, RDS, DynamoDB, S3, CloudWatch, IAM, and Secrets Manager.
•Familiarity with infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK.
•Experience in financial services, market intelligence, ratings, or other regulated enterprise environments.
•Understanding of observability tools and practices, including distributed tracing, metrics, centralized logging, and application monitoring.
The developer will work closely with architecture, product, data engineering, application engineering, and governance teams to deliver secure, reliable, and maintainable backend solutions that integrate with enterprise platforms and business workflows.
This is a hands-on engineering role requiring strong backend development fundamentals, independent execution, clean coding practices, and the ability to build production-ready services. Foundational knowledge of LLMs and AI-enabled integrations is expected as a value-add skill to support emerging enterprise AI use cases.
Key Responsibilities
•Design, develop, test, and deploy scalable backend services and microservices using C# and .NET Core / .NET.
•Build and maintain secure, well-documented RESTful APIs for internal and external enterprise applications.
•Develop backend components that integrate with SQL databases, enterprise systems, third-party services, and cloud-native platforms.
•Design and optimize database schemas, stored procedures, queries, and data access layers to ensure performance, reliability, and data integrity.
•Implement microservices-based architecture patterns, including service-to-service communication, API gateways, resiliency, logging, and monitoring.
•Deploy and support backend applications on AWS using cloud-native services, containerized workloads, serverless components, or managed infrastructure.
•Collaborate with architects, product owners, data engineers, and application teams to understand requirements and deliver reliable backend solutions.
•Implement secure coding practices, authentication, authorization, secrets management, audit logging, and role-based access controls.
•Participate in code reviews, technical design discussions, troubleshooting, production support, and performance tuning activities.
•Build reusable backend components, API libraries, integration services, and common utilities to improve development efficiency.
•Support CI/CD pipelines, automated testing, deployment automation, and environment configuration.
•Integrate backend services with LLM-enabled capabilities where required, such as connecting APIs to AI services, RAG pipelines, vector databases, or LLM endpoints.
•Create and maintain technical documentation covering architecture, APIs, data flows, deployment steps, dependencies, and operational procedures.
Required Qualifications
•Bachelor’s or master’s degree in computer science, Software Engineering, Information Technology, or a related technical field.
•Strong hands-on experience developing production-grade backend applications using C# and .NET Core / .NET.
•Proven experience designing, developing, and maintaining RESTful APIs and enterprise backend services.
•Strong understanding of microservices architecture, distributed systems, API design, and backend integration patterns.
•Strong SQL skills, including database design, query development, optimization, indexing, and performance tuning.
•Experience working with AWS cloud services and deploying applications in cloud-based environments.
•Experience with API security, authentication, authorization, logging, exception handling, and secure coding practices.
•Familiarity with CI/CD pipelines, Git-based version control, automated builds, testing, and deployment processes.
•Good understanding of object-oriented programming, design patterns, data structures, asynchronous programming, and clean code principles.
•Experience troubleshooting production issues, analyzing logs, identifying performance bottlenecks, and supporting application reliability.
•Ability to work independently, collaborate with cross-functional teams, and deliver high-quality technical solutions in an enterprise environment.
Preferred Qualifications
•Basic knowledge of LLMs, prompt engineering, AI service integration, or LLM-powered application workflows.
•Experience in integrating backend APIs with AI/LLM platforms such as Azure OpenAI, AWS Bedrock, OpenAI, Anthropic Claude, Google Gemini, or similar services.
•Familiarity with Retrieval Augmented Generation concepts, embeddings, semantic search, or vector databases such as OpenSearch, Pinecone, or pgvector.
•Experience with messaging systems and event-driven architecture using Kafka, RabbitMQ, AWS SQS/SNS, or similar technologies.
•Experience with containerization and orchestration tools such as Docker and Kubernetes.
•Experience with AWS services such as Lambda, API Gateway, ECS, EKS, RDS, DynamoDB, S3, CloudWatch, IAM, and Secrets Manager.
•Familiarity with infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK.
•Experience in financial services, market intelligence, ratings, or other regulated enterprise environments.
•Understanding of observability tools and practices, including distributed tracing, metrics, centralized logging, and application monitoring.
Requirements
Key Skills
C#, .NET Core, .NET, REST APIs, Microservices, SQL, AWS, API Design, Backend Development, Distributed Systems, CI/CD, Git, Secure Coding, Cloud Deployment, Enterprise Integration, Logging, Monitoring, Basic LLM Knowledge, AI Service Integration.
C#, .NET Core, .NET, REST APIs, Microservices, SQL, AWS, API Design, Backend Development, Distributed Systems, CI/CD, Git, Secure Coding, Cloud Deployment, Enterprise Integration, Logging, Monitoring, Basic LLM Knowledge, AI Service Integration.
Benefits
Diversity Inclusion:
At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.
Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.
Skills Required
- Bachelor's or master's degree in computer science, software engineering, information technology, or a related technical field
- Strong hands-on experience developing production-grade backend applications using C# and .NET Core or .NET
- Experience designing, developing, and maintaining RESTful APIs and enterprise backend services
- Strong understanding of microservices architecture, distributed systems, API design, and backend integration patterns
- Strong SQL skills, including database design, query development, optimization, indexing, and performance tuning
- Experience with AWS cloud services and deploying applications in cloud-based environments
- Experience with API security, authentication, authorization, logging, exception handling, and secure coding practices
- Familiarity with CI/CD pipelines, Git-based version control, automated builds, testing, and deployment processes
- Understanding of object-oriented programming, design patterns, data structures, asynchronous programming, and clean code principles
- Experience troubleshooting production issues, analyzing logs, identifying performance bottlenecks, and supporting application reliability
- Ability to work independently, collaborate with cross-functional teams, and deliver high-quality technical solutions in an enterprise environment
- Basic knowledge of LLMs, prompt engineering, AI service integration, or LLM-powered application workflows
- Experience integrating backend APIs with AI or LLM platforms such as Azure OpenAI, AWS Bedrock, OpenAI, Anthropic Claude, or Google Gemini
- Familiarity with RAG concepts, embeddings, semantic search, or vector databases such as OpenSearch, Pinecone, or pgvector
- Experience with messaging systems and event-driven architecture using Kafka, RabbitMQ, AWS SQS, or AWS SNS
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Experience with AWS services such as Lambda, API Gateway, ECS, EKS, RDS, DynamoDB, S3, CloudWatch, IAM, and Secrets Manager
- Familiarity with infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK
- Experience in financial services, market intelligence, ratings, or other regulated enterprise environments
- Understanding of observability tools and practices, including distributed tracing, metrics, centralized logging, and application monitoring
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The Company
What We Do
Exavalu leads the way in business and technology consulting and solution delivery, focusing on specialized digital transformation across the Insurance, Healthcare & Life Sciences, and Nonprofit industries. As an award-winning digital transformation advisor, we take pride in delivering leading-edge solutions to clients worldwide. Led by industry veterans and technology experts, we bring our deep understanding in customer experience, process automation, digital engineering, cloud, data and AI with a very strong industry core foundation. Drawing on our industry insights and technological acumen, we enable clients to drives growth, profitability, and cost optimization. We mitigate risks and elevate customer experience through our comprehensive suite of services, including strategic advisory, expert-led technology [build and maintenance], and best-in-class products and solutions. Our unwavering focus on understanding the industry's hard problems and finding the right solution has garnered recognition as the preferred ally for organizations seeking transformative growth.
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