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Manager Graphql Jobs (NOW HIRING)

Apollo GraphQL

Staff Security Operations Engineer

$210K - $255K/yr

Strong foundation in AppSec: threat modeling, SAST/DAST, dependency management, secure SDLC ... Experience securing GraphQL APIs, federation, or API gateway patterns * Familiarity with software ...

Marriott

Senior Director, Software Engineering

Bethesda, MD · On-site

$130K - $172K/yr

Experience with leading the design, build, and operation of the GraphQL runtime and federation layer, including Apollo (or similar product) Router/Gateway, traffic management, environment strategy ...

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Manager Graphql information

What is the difference between Manager Graphql vs Developer Graphql?

AspectManager GraphqlDeveloper Graphql
CredentialsTypically requires management experience, leadership skills, and sometimes certifications in project management or related fieldsRequires programming skills, knowledge of GraphQL, and often certifications in software development
Work EnvironmentLeads teams, manages projects, and coordinates between stakeholdersFocuses on coding, designing, and implementing GraphQL APIs and queries
Employer & Industry UsageUsed in organizations needing project oversight and team management in tech and software companiesUsed by software development teams building or maintaining GraphQL services

While both roles involve GraphQL, the Manager Graphql focuses on team leadership and project management, whereas the Developer Graphql is centered on coding and technical implementation. Understanding these differences helps in choosing the right career path or job search focus.

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Manager Graphql jobs near you
Infographic showing various Manager Graphql job openings in the United States as of July 2026, with employment types broken down into 47% As Needed, 34% Full Time, 1% Contract, 17% Nights, and 1% Summer. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution.
Python with ReactJS, Next JS, Mongo, Graphql, Desired- GenAI

Python with ReactJS, Next JS, Mongo, Graphql, Desired- GenAI

Donato Technologies, Inc

Charlotte, NC • On-site

$49 - $67.75/hr

Contractor

Re-posted 12 days ago

Job description

Python with ReactJS, Next JS, Mongo, Graphql, Desired- GenAI

Location: Charlotte, NC (Open for relocation )
Experience: 6–10 Years
 

Job Summary:

We are looking for a highly driven Senior Software Engineer – RPA to join our intelligent automation team in Charlotte, NC . The ideal candidate will have strong hands-on experience in Python , React , Next.js , MongoDB , GraphQL , and Generative AI , with a passion for building scalable automation solutions that drive operational efficiency and digital transformation.

As part of our RPA engineering team, you will work closely with product owners, automation architects, and AI specialists to design and deliver next-gen RPA solutions integrated with Gen AI and modern full-stack technologies.

Key Responsibilities:

· Design, develop, and maintain RPA solutions using Python and modern web frameworks.

· Build responsive and dynamic UI components using React and Next.js for automation dashboards and admin portals.

· Implement backend services and APIs using GraphQL and integrate with MongoDB for data persistence.

· Incorporate Gen AI models and APIs into automation workflows to drive intelligent decision-making.

· Optimize performance, scalability, and reliability of automation systems.

· Collaborate with cross-functional teams including AI/ML engineers, product managers, and business analysts.

· Participate in code reviews, mentor junior engineers, and enforce best practices.

· Ensure solutions comply with enterprise standards and security guidelines.

Required Skills and Qualifications:

· Strong programming experience in Python and automation scripting.

· Expertise in React.js , Next.js , and modern JavaScript/TypeScript development.

· Hands-on experience with MongoDB and working with GraphQL APIs .

· Solid understanding of RPA tools and automation concepts (e.g., event-driven automation, bots, orchestration).

· Practical experience integrating Generative AI (OpenAI, Google Vertex AI, etc.) into applications or workflows.

· Familiarity with DevOps and CI/CD pipelines.

· Excellent problem-solving and debugging skills.

· Strong communication and teamwork abilities.