Lead design, implementation, and scaling of backend microservices, database schemas, and advanced frontend infrastructures for a modern AI-native platform.
Responsibilities
Lead end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows to accelerate delivery while maintaining high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Architect cloud-native AI applications, integrating LLMs, vector search, and real-time data. Design end-to-end web solutions from frontend to backend. Implement RAG pipelines, model serving, and AI agents in production. Lead cross-functional teams. Build and maintain backend services in Python and integrate them with React (or Angular) frontends. Translate business requirements into scalable technical solutions. Ensure quality through testing, CI/CD, and cloud-native best practices.
Lead a team of data science professionals while providing hands‑on technical leadership across data science, data engineering, ETL pipelines, and cloud environments.
Responsibilities
Supervise and mentor data science professionals while coordinating complex data science projects.
Provide technical leadership for database development, ETL processes, backend pipelines, and cloud environments such as Databricks.
Oversee data engineering activities, pipeline design, data warehousing, and database architecture.
Lead technical and code‑level documentation while contributing to system documentation, API layouts, and ETL business logic.
Establish and oversee data security implementation, quality assurance, unit testing, and code integrity standards.
Requirements
Master's degree in Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, Applied Research, or a related field
Develop, test, and maintain software components for Audible's audiobook platform.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Responsibilities
Develop, test, and maintain software components and applications for the world's largest audiobook creator and provider
Identify and resolve software defects through code review, log analysis, metrics examination, debugging, and other troubleshooting methods
Write maintainable and scalable code for software components as part of an agile engineering team
Collaborate with stakeholders to envision, design, develop, test, and launch customer-centric software that inspires and impacts users
Apply computer science, engineering, and analysis principles to solve moderate-scale problems
Requirements
Bachelor's degree in Computer Science or a closely related field
Nice to have: optimization mathematics
Nice to have: linear programming
Nice to have: nonlinear optimization
Nice to have: AI tools for development productivity
Build RESTful, highly scalable cloud-native services in Go and TypeScript for DigiCert Quantum Central, owning features end-to-end and driving AI-native engineering practices.
Compensation
$135,000—$170,000 USD
Responsibilities
Build RESTful, highly scalable cloud-native services in Go and TypeScript
Own features end-to-end: design, implementation, testing, deployment, and observability
Use AI coding agents as a native part of daily workflow
Design and ship software using agentic AI workflows: LLM orchestration, autonomous pipelines, and AI-assisted product features
Collaborate with engineers, product managers, and security researchers to build PQC readiness tooling
Requirements
Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Junior Financial AnalystNewAtlas Van Lines Canada · Oakville, Canada
Head of Engineering, CardsNewCareers at Tide · United Kingdom+1 more
Software Development EngineerNewAmazon · Newark, US
Senior Software EngineerNewDigiCert · Lehi, US