Principal Software Engineer, Back-End

Frontline Education

Location: United States
Workplace: Remote
Employment: Full Time
Salary: USD 160,000–180,000/yr

Posted 2mo ago

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Responsibilities

Lead the design, development, and modernization of enterprise-grade back-end systems
Define and influence architectural direction for critical capabilities
Serve as a technical authority across engineering teams
Partner with leadership to translate business and regulatory requirements into technical solutions
Establish reusable engineering patterns, reference architectures, and implementation standards
Design and implement back-end services that integrate AI capabilities into enterprise workstreams
Work with stakeholders to ensure AI-enabled features are implemented with appropriate controls
Collaborate with data science, platform, and vendor teams to integrate AI services
Help define engineering standards for responsible AI usage
Identify opportunities to use AI to improve internal engineering and operational workstreams
Build systems that meet the expectations of regulated environments
Ensure software designs account for compliance obligations, risk management practices, and governance
Partner with security and compliance teams to support threat modeling and reviews
Design AI-enabled workflows with appropriate safeguards
Set a high bar for code quality, automated testing, reliability, observability, and CI/CD
Drive improvements in system performance, scalability, reliability, and maintainability
Review complex designs and code changes, providing constructive technical guidance
Lead efforts to reduce technical debt and modernize legacy components
Promote strong operational practices
Mentor senior and staff-level engineers
Influence engineering direction across multiple teams
Communicate clearly with technical and non-technical stakeholders
Act as a trusted advisor to product and engineering leadership on AI capabilities

Requirements

10+ years of professional software engineering experience
Significant experience designing and building enterprise back-end systems
Deep expertise with C#, .NET, ASP.NET Core, RESTful APIs, background services, dependency injection, asynchronous programming
Strong experience with enterprise application architecture, including microservices, modular monoliths, distributed systems, event-driven patterns, messaging, API gateways
Experience designing and operating production systems in cloud environments such as AWS, Azure, or Google Cloud
Hands-on experience integrating AI, machine learning, or LLM-enabled capabilities into business workflows
Experience with data-intensive applications, including relational databases, SQL performance tuning, data modeling, caching, indexing
Strong understanding of secure software development practices, including authentication, authorization, encryption, secrets management, secure APIs
Experience working in or supporting regulated, compliance-driven, or risk-sensitive industries
Demonstrated ability to lead complex technical initiatives across teams
Excellent communication skills

Preferred

Experience with AWS Bedrock, OpenAI APIs, Microsoft Agent Framework, SpecKit, vector databases, embeddings, retrieval-augmented generation, prompt orchestration
Experience designing human-in-the-loop workflows, approval flows, audit trails, or exception management systems
Familiarity with responsible AI practices, model evaluation, AI governance, prompt/version control, AI observability, and risk management frameworks
Experience with enterprise workflow platforms, rules engines, BPM tools, case management systems, document management systems
Experience with messaging and event streaming technologies such as Kafka, RabbitMQ, or Event Grid
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Experience with DevOps and infrastructure-as-code practices using tools such as GitHub Actions and Terraform
Experience with domain-driven design, clean architecture, CQRS, event sourcing, distributed tracing
Experience with high-scale API platforms

Skills

C#
.NET
ASP.NET Core
Microsoft SQL Server
APIs
microservices
event-driven architecture
AWS
LLMs
OpenAI APIs
Kafka
RabbitMQ
Event Grid
Docker
Kubernetes
GitHub Actions
Terraform
Domain-Driven Design
Clean Architecture
CQRS
Event Sourcing
Distributed Tracing

Responsibilities

Requirements

Preferred

Skills

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