Fullstack/ Backend Engineer
Olenick, Menlo Park, CA, United States
Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!
We are looking for a Full-Stack/Backend Engineer to join our growing team in Menlo Park, CA United States.
We are seeking a strong Full-Stack/Backend Engineer to help design, build, and operate backend services and product surfaces that power internal tools and AI-driven workflows.
This role is best suited for an engineer who is highly practical, execution-oriented, and comfortable working across the stack – from backend APIs and infrastructure to user-facing interfaces and mobile surfaces. The ideal candidate has strong hands‑on experience in Python and TypeScript, and is comfortable deploying modern systems in cloud‑native environments. Experience with GenAI systems, orchestration, and production deployment pipelines is highly valuable. Rust is a strong plus for performance-sensitive backend work.
Key Responsibilities
Design, implement, and maintain backend APIs and internal services using Python.
Contribute to service architecture, reliability, and maintainability for internal product workflows.
Build integrations with internal and external systems, including data, storage, authentication, and service layers.
Where appropriate, contribute to performance-sensitive backend components, with Rust as a plus.
Build and maintain user-facing interfaces and internal tools using TypeScript, React, and related modern web technologies.
Design and implement polished internal product experiences with strong usability and practical workflow support.
Partner on product implementation across desktop and web surfaces.
Support or build high-priority mobile product surfaces across Android, iOS, and/or React Native.
Help extend internal tooling and workflows into mobile-first experiences where needed.
Collaborate on practical mobile UI architecture and implementation decisions.
Deploy and operate services in modern cloud-native environments.
Work with Kubernetes, Terraform, containers, and CI/CD pipelines.
Support reliable service rollout, iteration, and operational stability.
Contribute to deployment workflows, environment configuration, and developer velocity.
Build and integrate end-to-end GenAI-enabled systems and workflows.
Support model serving and inference pipelines, evaluation and monitoring systems, and orchestration workflows.
Contribute to practical AI product integrations such as Retrieval-Augmented Generation (RAG), tool/agent orchestration, evaluation pipelines, workflow automation, and model-backed product surfaces.
Minimum Qualifications
Strong hands-on production experience building backend systems in Python.
Solid proficiency in TypeScript and modern front-end development using React.
Experience building and maintaining internal tools, APIs, or product workflows end-to-end.
Practical experience with cloud-native engineering, including Kubernetes, Terraform, AWS CDK, containers/containerization, and CI/CD.
Hands-on experience building or integrating GenAI systems in real product or internal tooling contexts.
Familiarity with model serving/inference workflows, evaluation/monitoring pipelines, orchestration/workflow systems, RAG pipelines, and agent-style system integrations.
Strong software engineering fundamentals, including code quality, testing, debugging, performance awareness, and maintainable system design.
Preferred Qualifications
Experience building mobile applications or product surfaces for Android, iOS, and React Native.
Experience delivering GenAI systems to production or near-production environments.
Strong familiarity with orchestration and workflow systems for AI-enabled applications.
Experience operating Kubernetes and Terraform in production environments.
Experience integrating internal services with observability systems, security systems, storage systems, and data pipelines.
Proficiency in Rust for high-performance or systems-oriented backend development.
Strong product instincts and ability to move fluidly between prototyping and production-minded implementation.
Ideal Candidate Profile
Comfortable working as a generalist engineer across backend, infrastructure, and UI/mobile surfaces.
Ability to move quickly from idea to working implementation.
Strong builder mindset with a bias toward practical execution.
Excited by modern AI tooling and applied GenAI systems.
Comfortable operating in an ambiguous but high-trust environment.
Ability to independently drive scoped work while collaborating closely with a small team.
Enjoys owning meaningful technical work across multiple layers of the stack.
Benefits
Why QualiTest?
Be part of a company that supports diversity and inclusion – we celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.
Local and global opportunities – internal rotation and international mobility to grow your career.
Clear view of your career and progression – QualiTest is growing massively (since 2021, tripled our employee base to more than 8,000 engineers).
Flexible and casual culture. Employee events, amenities, and games at our Employee Centers. 401(k) plan with company match.
Health benefits – enrollment in competitive healthcare benefits and HSA match.
Learning & Development with QCraft – 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications.
Corporate Wellness Program – gym membership included and additional vacation time for gym attendance.
Bonuses via Client Referral and Employee Referral Program.
Recognition platform Qudos for bonuses and spot awards.
Employee Perks for travel, electronics, and more.
Competitive salary range $150,000 – $180,000.
Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
#J-18808-Ljbffr
We are looking for a Full-Stack/Backend Engineer to join our growing team in Menlo Park, CA United States.
We are seeking a strong Full-Stack/Backend Engineer to help design, build, and operate backend services and product surfaces that power internal tools and AI-driven workflows.
This role is best suited for an engineer who is highly practical, execution-oriented, and comfortable working across the stack – from backend APIs and infrastructure to user-facing interfaces and mobile surfaces. The ideal candidate has strong hands‑on experience in Python and TypeScript, and is comfortable deploying modern systems in cloud‑native environments. Experience with GenAI systems, orchestration, and production deployment pipelines is highly valuable. Rust is a strong plus for performance-sensitive backend work.
Key Responsibilities
Design, implement, and maintain backend APIs and internal services using Python.
Contribute to service architecture, reliability, and maintainability for internal product workflows.
Build integrations with internal and external systems, including data, storage, authentication, and service layers.
Where appropriate, contribute to performance-sensitive backend components, with Rust as a plus.
Build and maintain user-facing interfaces and internal tools using TypeScript, React, and related modern web technologies.
Design and implement polished internal product experiences with strong usability and practical workflow support.
Partner on product implementation across desktop and web surfaces.
Support or build high-priority mobile product surfaces across Android, iOS, and/or React Native.
Help extend internal tooling and workflows into mobile-first experiences where needed.
Collaborate on practical mobile UI architecture and implementation decisions.
Deploy and operate services in modern cloud-native environments.
Work with Kubernetes, Terraform, containers, and CI/CD pipelines.
Support reliable service rollout, iteration, and operational stability.
Contribute to deployment workflows, environment configuration, and developer velocity.
Build and integrate end-to-end GenAI-enabled systems and workflows.
Support model serving and inference pipelines, evaluation and monitoring systems, and orchestration workflows.
Contribute to practical AI product integrations such as Retrieval-Augmented Generation (RAG), tool/agent orchestration, evaluation pipelines, workflow automation, and model-backed product surfaces.
Minimum Qualifications
Strong hands-on production experience building backend systems in Python.
Solid proficiency in TypeScript and modern front-end development using React.
Experience building and maintaining internal tools, APIs, or product workflows end-to-end.
Practical experience with cloud-native engineering, including Kubernetes, Terraform, AWS CDK, containers/containerization, and CI/CD.
Hands-on experience building or integrating GenAI systems in real product or internal tooling contexts.
Familiarity with model serving/inference workflows, evaluation/monitoring pipelines, orchestration/workflow systems, RAG pipelines, and agent-style system integrations.
Strong software engineering fundamentals, including code quality, testing, debugging, performance awareness, and maintainable system design.
Preferred Qualifications
Experience building mobile applications or product surfaces for Android, iOS, and React Native.
Experience delivering GenAI systems to production or near-production environments.
Strong familiarity with orchestration and workflow systems for AI-enabled applications.
Experience operating Kubernetes and Terraform in production environments.
Experience integrating internal services with observability systems, security systems, storage systems, and data pipelines.
Proficiency in Rust for high-performance or systems-oriented backend development.
Strong product instincts and ability to move fluidly between prototyping and production-minded implementation.
Ideal Candidate Profile
Comfortable working as a generalist engineer across backend, infrastructure, and UI/mobile surfaces.
Ability to move quickly from idea to working implementation.
Strong builder mindset with a bias toward practical execution.
Excited by modern AI tooling and applied GenAI systems.
Comfortable operating in an ambiguous but high-trust environment.
Ability to independently drive scoped work while collaborating closely with a small team.
Enjoys owning meaningful technical work across multiple layers of the stack.
Benefits
Why QualiTest?
Be part of a company that supports diversity and inclusion – we celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.
Local and global opportunities – internal rotation and international mobility to grow your career.
Clear view of your career and progression – QualiTest is growing massively (since 2021, tripled our employee base to more than 8,000 engineers).
Flexible and casual culture. Employee events, amenities, and games at our Employee Centers. 401(k) plan with company match.
Health benefits – enrollment in competitive healthcare benefits and HSA match.
Learning & Development with QCraft – 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications.
Corporate Wellness Program – gym membership included and additional vacation time for gym attendance.
Bonuses via Client Referral and Employee Referral Program.
Recognition platform Qudos for bonuses and spot awards.
Employee Perks for travel, electronics, and more.
Competitive salary range $150,000 – $180,000.
Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
#J-18808-Ljbffr