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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting scalable systems, leading AI/ML initiatives, and implementing responsible AI practices. Proficient in driving technical direction, mentoring teams, and ensuring high engineering quality through best practices in coding and deployment.
Highest-signal resume keywords
Architectural StrategyAI/ML ProductionizationService-Oriented ArchitectureCI/CD and Infrastructure as CodeResponsible AI Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringDistributed SystemsMicroservicesPythonJavaGoTypeScriptData SystemsCI/CDLinux
Soft Skills
Clear CommunicationExecutive PresenceMentoringGrowth MindsetHigh Ownership
Tools & Technologies
AWSKinesisKafkaSparkDynamoDBRedisTerraformCloudFormationCodeDeployCodeBuild
Industry Keywords
Event-Driven ArchitectureResponsible AIPrivacySecurityBias Mitigation
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDynamoDBEC2JavaKafkaLinuxMicroservicesPythonRDBMSRedisSparkTerraformTypeScriptGo
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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