Senior Backend Engineer

Database Security software System security +34, The Senior Backend Engineer is responsible for designing, developing, and maintaining scalable backend systems, APIs, databases, and application services that power the organization’s enterprise applications, SaaS platforms, customer-facing digital experiences, and AI-enabled solutions. This role serves as a senior technical contributor within the IT organization and partners closely with Frontend Development, AI Platform Engineering, Data Integrations, DevOps, Enterprise Systems, and business stakeholders to deliver secure, reliable, and maintainable backend solutions.

A core function of this role is building and supporting the organization’s backend application architecture-including APIs, business logic, database structures, integration layers, authentication systems, secure data access patterns, and customer-aware application functionality-while ensuring scalability, maintainability, performance, and security across environments.

This role bridges backend engineering, database development, enterprise integrations, SaaS application support, and AI-enabled application integration to ensure backend systems reliably and securely support both internal business operations and customer-facing digital platforms. This is a REMOTE position.

Responsibilities

Backend Application Architecture & Development: Design, develop, and maintain scalable backend services, APIs, and application logic that support enterprise systems, SaaS platforms, customer-facing digital applications, and AI-enabled application functionality.

API Development & Integration: Build and maintain secure, scalable, and well-documented RESTful APIs and backend integration services that support frontend applications, enterprise systems, customer environments, and AI service consumption.

Database Design & Development: Design, optimize, and maintain relational database structures, client-specific database configurations, queries, stored procedures, indexing strategies, and secure data access patterns to ensure high-performance, reliable, scalable, and maintainable application operations. Support ongoing client database upkeep, configuration management, and compatibility with customer-specific deployment models and application requirements.

SaaS Application Support: Develop backend application services that support scalable SaaS application functionality, including customer-aware application logic, tenant-aware APIs, secure authentication patterns, and compatibility with customer-specific database deployment models.

Business Logic & Workflow Development: Implement scalable business logic, validation layers, workflow automation, and backend services that support operational processes, customer experiences, and enterprise application functionality.

AI Platform Integration: Collaborate with AI Platform Engineering teams to integrate AI capabilities into backend services and customer-facing applications, including AI APIs, recommendation services, conversational interfaces, predictive workflows, and AI-assisted application functionality.

Technical Leadership & Collaboration: Collaborate closely with Frontend Development, DevOps, AI Platform Engineering, Data Integrations, UI/UX, and Enterprise Systems teams to define backend standards, API contracts, integration patterns, security practices, and scalable backend development best practices.

The successful candidate will have significant experience designing and developing scalable backend systems and cloud-ready application services, with the ability to bridge backend engineering, database architecture, enterprise integrations, SaaS application support, and AI-enabled backend services., * Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.

• 5+ years of experience in backend software engineering or full stack engineering roles with strong backend specialization.
• Demonstrated experience building scalable backend systems, APIs, and application services in production environments.
• Strong proficiency in backend development languages and frameworks such as Node.js, Python, .NET, or similar technologies.
• Strong proficiency in SQL, relational database design, stored procedures, indexing strategies, query optimization, secure data access patterns, Row-Level Security (RLS) concepts, and backend data modeling.
• Experience building and maintaining REST APIs, backend integration services, and scalable backend application architectures.
• Experience supporting SaaS application functionality, customer-aware backend architectures, and tenant-aware application patterns.
• Familiarity with cloud-native backend development concepts, containerized application environments, and deployment-ready application design within Azure or similar cloud platforms.
• Familiarity with Infrastructure as Code (IaC), cloud-native backend development concepts, containerized application environments, and deployment-ready backend application design within Azure or similar cloud platforms.
• Understanding of authentication, authorization, API security, encryption, and secure backend development practices.
• Experience collaborating with Frontend Development, DevOps, AI Platform Engineering, Data Integrations, and Enterprise Systems teams in cross-functional environments.
• Strong analytical, systems-thinking, and problem-solving capabilities.
• Ability to clearly communicate technical concepts and backend architectural decisions to both technical and non-technical stakeholders.
• Ability to work independently and collaboratively within cross-functional teams.
• Willingness to travel occasionally (approximately 10%).

Preferred

• Experience implementing Row-Level Security (RLS), secure backend data access patterns, and customer-aware application security models.
• Experience integrating AI capabilities into backend systems, APIs, and customer-facing digital platforms.
• Experience with Azure SQL, Azure Functions, Service Bus, Event Grid, or related Azure application and integration services.
• Experience designing scalable SaaS backend application architectures and distributed application patterns.
• Experience with observability, logging, monitoring, and backend application performance tooling.
• Experience mentoring engineers or providing technical leadership across backend development initiatives.