SW Application Development Engineer

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers.

Role Summary

We are seeking a Mid Level System Programmer to design, develop, and optimize modern, cloud native applications deployed across Microsoft Azure and Amazon Web Services (AWS). This role combines strong backend and frontend development skills (C#/.NET Core, Node.js, TypeScript, Angular) with hands on experience delivering AI driven capabilities such as Large Language Models (LLMs), AI agents, Retrieval Augmented Generation (RAG), and prompt engineering.
You will work across distributed systems, integrate intelligent document processing, automate business workflows using Power Apps and Power Automate, and ensure solutions are secure, performant, and scalable across multiple environments.

Key Responsibilities

Application & System Development

• Design, develop, and maintain backend services and APIs using C#/.NET Core and Node.js with JavaScript/TypeScript.
• Build and maintain frontend applications using Angular, ensuring responsive, secure, and accessible user experiences.
• Apply system design and architectural principles to build scalable, maintainable, and fault‑tolerant systems.

Cloud Platforms (Azure & AWS)

• Deploy and manage cloud‑native solutions on Microsoft Azure and AWS, leveraging:
  • Azure: App Services, Azure Functions, Azure OpenAI, Azure SQL, Cosmos DB, Storage Accounts, Azure Key Vault, Application Insights
  • AWS: EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, API Gateway, CloudWatch, IAM
• Support multi‑environment deployments (development, test, staging, production) with environment‑specific configuration, secrets, and scaling policies.
• Collaborate on cloud architecture decisions related to availability, cost optimization, and disaster recovery.

AI, ML & Intelligent Systems

• Integrate Large Language Models (LLMs) into applications to enable intelligent workflows and decision‑making.
• Implement AI agents & tooling, including tool/function calling and orchestration frameworks.
• Design and maintain contextual memory and Retrieval‑Augmented Generation (RAG) pipelines using structured and unstructured data.
• Apply prompt engineering best practices and model evaluation techniques.
• Contribute to systems leveraging reinforcement learning concepts where applicable.

Data & Document Intelligence

• Design, optimize, and maintain data models in SQL Server and MongoDB.
• Develop document intelligence solutions that extract, classify, and enrich data from unstructured sources (e.g., PDFs, forms, scanned documents).
• Integrate document processing pipelines with cloud storage and downstream business systems.

DevOps, Security & Performance

• Containerize applications using Docker and support cloud‑based CI/CD pipelines.
• Implement API security & authentication using OAuth2, OIDC, JWT, and secrets management (Azure Key Vault / AWS Secrets Manager).
• Monitor application health and performance using Azure Monitor / Application Insights and AWS CloudWatch.
• Perform performance optimization, identifying bottlenecks and improving throughput, latency, and reliability.

Automation & Low‑Code Platforms

• Design and maintain workflow automation using Power Automate.
• Build internal tools and dashboards using Power Apps, integrating with cloud services and APIs.
• Enable operational efficiency by connecting enterprise systems through secure automation.

Job Requirements

• 8–10 years of professional experience in system programming or software development.
• Strong proficiency in C#, .NET Core, Node.js, JavaScript/TypeScript, and Angular.
• Hands‑on experience deploying and operating applications on Microsoft Azure and AWS.
• Experience implementing LLMs, AI agents, RAG, contextual memory, and prompt engineering in production systems.
• Strong database expertise with SQL Server and MongoDB.
• Experience with Docker, CI/CD pipelines, and multi‑environment deployments.
• Solid understanding of API security & authentication mechanisms.
• Demonstrated experience in system design, architecture, and performance optimization.
• Experience building solutions with Power Apps and Power Automate.
• Strong analytical skills, documentation discipline, and collaboration ability.

Available to start immediately

Accessibility

Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter.

Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.