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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - **Company:** Nerdy Inc. - **Location:** St. Louis, MO, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Audit Trail, Automation of Tests, Big Data, Command-Line Interface, Continuous Delivery, Continuous Integration, Data Structures, Data Systems, Relational Databases, Cursor, Linux, Disaster Recovery, Distributed Systems, Amazon DynamoDB, Apache Hive, Python (Programming Language), PostgreSQL, Object-Oriented Software Development, Redis, Next.js, Search Technologies, Software Engineering, Data Streaming, TypeScript, Management of Software Versions, Web Applications, Feature Store, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Claude Code, Apache Spark, IT Architecture, Caching, Cloudformation, Event Driven Architecture, Amazon Relational Database Service, Apache Kafka, Machine Learning Operations, Artificial Intelligence Governance, Terraform, GPT, Data Pipelines, Golang, Microservices - **Published:** October 18, 2026 - **Apply:** https://www.thejobnetwork.com/job/b5f87dd3-8e3b-4a22-923c-e7fcbb05fcb2/principal-software-engineer ## About the Role * 10+ years of software engineering with deep hands-on experience building and operating large-scale distributed systems; 3+ years leading technical direction across multiple teams. * Expertise in service-oriented and event-driven architectures; microservices for UX and APIs in cloud environments (AWS preferred). * Strong data systems background: streaming (e.g., Kinesis/Kafka), big-data processing (e.g., Spark/Hive), and storage (DynamoDB/Redis/RDBMS). * Proficiency in CI/CD and infrastructure as code (e.g., CodeDeploy/CodeBuild, Terraform/CloudFormation); solid Linux and command-line skills. * AI/ML experience shipping to production: designing RAG pipelines, model serving, recommendations/ranking, evaluation (offline/online), monitoring, and drift/quality management. * Responsible AI practices: privacy, security, safety, bias mitigation, and auditability; experience integrating AI guardrails into apps and platforms. * AI-native developer productivity: skilled with tools that accelerate teams (e.g., Cursor, Claude Code, ChatGPT, Make.com, n8n, Supabase, Netlify, Vercel, Grok, Bolt) and with prompt/tool orchestration and evaluation. * Strong coding fundamentals (OO design, algorithms, data structures) in one or more languages (e.g., Python, Java, Go, TypeScript). * Clear communicator with executive presence; able to translate complex technical trade-offs for technical and non-technical audiences. * Familiarity with AWS services (e.g., EC2, RDS, Kinesis, DynamoDB) and deploying large-scale web applications. * Aptitude to quickly learn new languages/technologies; growth mindset and high ownership. * Understand and appreciate that Nerdy is an apolitical company, united in the focus on helping people learn., At Nerdy, you'll earn your success through meritocracy and exceptional outcomes. Our benefits reward performance and initiative ## Description From the CEO to day-one hires, everyone builds and ships with generative AI. If you're not wielding AI, you're not done. * Entrepreneurial velocity Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die. * Free-market rigor Ideas rise or fall on merit and results - no committees, no politics, no cap on upside. * Full-stack ownership You design, build, and run what you ship; accountability is a feature, not a bug. * Reward for contribution Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded. * Relentless exploration Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way. * Is Apolitical You stay focused on mission-aligned outcomes, not distractions or unrelated causes. If you're a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com. Nerdy's shareholder letters below explain our latest products and strategy: * Q2-2026 Shareholder Letter * Q1-2026 Shareholder Letter * Q4-2025 Shareholder Letter, * Set the org-wide architectural strategy and guardrails; create reference designs and patterns that align teams on a coherent technical direction. * Architect and deliver cross-cutting, highly scalable systems (e.g., live learning platform, eventing/data pipelines, identity/auth, APIs). * Lead AI architecture end-to-end: design LLM/RAG systems, recommendations/ranking, vector search, feature stores, and online/offline evaluation loops. * Productionize ML/LLM solutions with robust MLOps/LLMOps (model/prompt versioning, CI/CD for models, canaries, shadow deploys, monitoring, drift detection). * Ensure responsible AI: establish guardrails for privacy, safety, bias, and prompt-injection defense in partnership with Security/Legal/Compliance. * Drive performance, scalability, and resiliency (caching, backpressure, idempotency, multi-region, disaster recovery); own SLOs and observability. * Raise the quality bar through hands-on coding on critical paths, design reviews, documentation, automated testing, and continuous delivery. * Champion secure-by-default and privacy-by-design; lead threat modeling and collaborate on compliance needs (e.g., GDPR/CCPA/SOX/NIST). * Partner with product, data science/ML, design, and engineering leadership to sequence investments and align on outcomes and trade-offs. * Mentor and uplevel engineers and managers; lead architecture forums/guilds; influence through clarity, empathy, and data. * Operate iteratively with a focus on quality; participate in on-call, lead incident response/postmortems, and drive reliability and cost stewardship (FinOps).