Principal Software Engineer

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nerdy

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

💰 $150M Post-IPO Equity - Nerdy on 2021-09

Education • Artificial Intelligence • SaaS

Nerdy is an education technology company that combines live instruction (through Varsity Tutors) with AI-powered learning tools on a purpose-built platform. It offers live 1-to-1 tutoring, weekly prep classes, workshops, instant session playback, and AI features such as session summaries, adaptive diagnostics, an on-demand AI Tutor, and a Tutor Copilot to surface examples and exercises. The platform covers 3,000+ subjects and uses data-driven expert curation and AI-based matching to connect learners with high-rated tutors and personalize practice and study agents.

📋 Description

• Define and drive organization-wide architectural strategy and guardrails • Create reference designs and patterns for coherent technical direction • Architect and deliver highly scalable cross-cutting systems for live learning, eventing/data pipelines, identity/authentication, and APIs • Lead end-to-end AI architecture for LLM/RAG systems, recommendations/ranking, vector search, feature stores, and evaluation loops • Productionize ML/LLM solutions with MLOps/LLMOps, versioning, model CI/CD, canary and shadow deployments, monitoring, and drift detection • Establish responsible-AI guardrails for privacy, safety, bias, and prompt-injection defense • Drive performance, scalability, resiliency, SLOs, and observability • Raise engineering quality through hands-on coding, design reviews, documentation, automated testing, and continuous delivery • Champion secure-by-default and privacy-by-design practices; lead threat modeling and compliance collaboration • Partner with product, data science/ML, design, and engineering leadership on investments, outcomes, and trade-offs • Mentor engineers and managers and lead architecture forums/guilds • Participate in on-call and incident response/postmortems • Drive reliability, cost stewardship, and FinOps

🎯 Requirements

• 10+ years of software engineering experience building and operating large-scale distributed systems • 3+ years leading technical direction across multiple teams • Expertise in service-oriented and event-driven architectures • Experience with microservices for UX and APIs in cloud environments; AWS preferred • Strong data systems background in Kinesis/Kafka, Spark/Hive, DynamoDB, Redis, and RDBMS • Proficiency in CI/CD and infrastructure as code, including CodeDeploy, CodeBuild, Terraform, or CloudFormation • Solid Linux and command-line skills • Production AI/ML experience with RAG pipelines, model serving, recommendations/ranking, evaluation, monitoring, and drift/quality management • Experience with responsible AI, including privacy, security, safety, bias mitigation, auditability, and AI guardrails • Experience with AI-native developer productivity tools and prompt/tool orchestration and evaluation • Strong coding fundamentals in one or more of Python, Java, Go, or TypeScript • Clear communication and executive presence • Familiarity with AWS services including EC2, RDS, Kinesis, and DynamoDB • Experience deploying large-scale web applications • Ability to learn new languages and technologies quickly • Growth mindset and high ownership • Understanding and appreciation of Nerdy’s apolitical company focus

🏖️ Benefits

• Competitive USD-benchmarked compensation, paid in local currency • 100% remote from anywhere in your home country; no relocation required • Flexible paid time off • Paid official national holidays • Free all-inclusive learning membership for the employee and household • 1-on-1 tutoring hours and unlimited on-demand classes • Access to Nerdy’s learning products and services • Access to cutting-edge AI productivity tools • Regular training and peer reviews • Collaborative culture and team ownership