Principal Software Engineer, Back-End .NET

10+ years of professional software engineering experience, with 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, and modern back-end engineering practices.

Strong experience with enterprise application architecture, including microservices, modular monoliths, distributed systems, event-driven patterns, messaging, API gateways, and service-to-service communication.

Experience designing and operating production systems in cloud environments such as AWS, Azure, or Google Cloud, with a preference for AWS-based enterprise platforms.

Hands-on experience integrating AI, machine learning, or LLM-enabled capabilities into business workflows, enterprise applications, or operational systems.

Experience with data-intensive applications, including relational databases, SQL performance tuning, data modeling, caching, indexing, and integration with analytics or search platforms.

Strong understanding of secure software development practices, including authentication, authorization, encryption, secrets management, secure APIs, and vulnerability management.

Experience working in or supporting regulated, compliance-driven, or risk-sensitive industries such as financial services, healthcare, insurance, legal technology, government, life sciences, audit, risk, or compliance software.

Demonstrated ability to lead complex technical initiatives across teams, influence architecture, and deliver high-impact engineering outcomes.

Excellent communication skills with the ability to explain technical decisions, risks, and tradeoffs to engineering, product, security, compliance, and executive stakeholders.

Preferred Qualifications

Experience with AWS Bedrock, OpenAI APIs, Microsoft Agent Framework, SpecKit, vector databases, embeddings, retrieval-augmented generation, prompt orchestration, and AI workflow automation platforms.

Experience designing human-in-the-loop workflows, approval flows, audit trails, or exception management systems for AI-assisted business processes.

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, or compliance operations platforms.

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, and high-scale API platforms.

Ideal Candidate Profile

The ideal candidate is a hands-on principal-level engineer who can move comfortably between code, architecture, strategy, and cross-functional leadership. You have built complex enterprise systems, understand the realities of regulated environments, and know how to introduce emerging technologies without creating unnecessary risk.

You are pragmatic about AI. You understand its potential, but you also recognize the importance of accuracy, governance, auditability, security, cost management, and human oversight. You can help teams separate hype from durable product value and turn ambiguous opportunities into well-designed, production-ready capabilities.

You are equally comfortable mentoring engineers, reviewing architecture, writing critical code, facilitating technical discussions, and partnering with senior leaders to shape product and platform direction.

Leadership Expectations

As a Principal Engineer, you will be expected to lead by influence, not just by implementation. You will help teams make better technical decisions, improve engineering discipline, and develop systems that can scale with the business.

You should bring strong judgment, intellectual humility, technical depth, and a bias toward practical delivery. We value engineers who can simplify complexity, communicate clearly, and build trust across functions.

Position Requirements Summary

The successful candidate will bring:

Deep back-end engineering expertise in C# and .NET

Enterprise architecture experience across complex distributed systems

Practical experience integrating AI workflows into production applications

Strong judgment in regulated, compliance-sensitive environments

A security-first and audit-ready engineering mindset

Proven ability to influence across teams and mentor senior engineers

A track record of delivering high-quality, scalable enterprise software

$160,000-$180,000 a year salary

• Bonus eligibility and long-term incentive opportunities
• 401(k) with company match
• Comprehensive health, dental, and vision coverage
• Employee stock purchase plan
• Generous paid time off and tuition reimbursement

Inclusion, Belonging & Equal Opportunity

Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team.

Frontline Education is a pioneer of school administration software purpose-built for K-12 districts. We provide innovative, connected solutions for student and special programs, business operations, and human capital management with powerful data and analytics to empower educators and administrators. We earn the trust of K-12 leaders across the U.S. by serving as a consistently high-performing, forthright partner of school districts through every dimension of the company.

We’re a group of unique and talented individuals who love what we do. We believe in servant leadership, collaboration, continuous improvement, and balancing great work with a healthy life outside of it.

Frontline embraces diversity, equity, and inclusivity and is an equal opportunity employer.

Our Mission, Our People, Our Purpose

At Frontline Education, we’re reimagining what’s possible by becoming an AI-first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most, their students.

As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference.