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Remote Graphql Developer Jobs in Chicago, IL (NOW HIRING)

Solutions Architect

Chicago, IL · Remote

$160K - $180K/yr

Drive technical alignment across sales, engineering, and product teams throughout the solution ... Expert-level understanding of system integration patterns, including RESTful and GraphQL APIs ...

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Remote Graphql Developer information

See Chicago, IL salary details

$49.4K

$115.2K

$171K

How much do remote graphql developer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote graphql developer in Chicago, IL is $115,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $133,900.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Remote Graphql Developer?

A Remote Graphql Developer typically spends their day designing, coding, and maintaining GraphQL APIs, collaborating closely with front-end developers to integrate new features. Responsibilities often include reviewing code, writing automated tests, troubleshooting bugs, and participating in virtual meetings or code reviews with team members. Effective communication is key, as tasks and updates are coordinated through project management tools and regular video calls. Being proactive, organized, and responsive enables you to successfully contribute to projects and support your team, even when working across different time zones.

What are the key skills and qualifications needed to thrive in the Remote Graphql Developer position, and why are they important?

To thrive as a Remote Graphql Developer, you need a thorough understanding of GraphQL, JavaScript/TypeScript, and backend frameworks, typically supported by a degree in computer science or related experience. Proficiency in tools like Apollo, Relay, Node.js, as well as experience with version control systems such as Git, is highly beneficial. Strong problem-solving skills, effective written communication, and the ability to collaborate in distributed teams are essential soft skills. These skills help ensure seamless API development, maintain high code quality, and facilitate effective teamwork across remote environments.

What is a Remote GraphQL Developer job?

A Remote GraphQL Developer is responsible for designing, implementing, and maintaining APIs using GraphQL while working from a remote location. They collaborate with frontend and backend teams to optimize data fetching, improve performance, and ensure seamless integration. This role requires expertise in GraphQL, API development, and related technologies like Node.js, React, or Apollo. Remote GraphQL Developers often work for tech companies, startups, or as freelancers, providing flexibility in location and work hours.

What cities near Chicago, IL are hiring for Remote Graphql Developer jobs? Cities near Chicago, IL with the most Remote Graphql Developer job openings:
Infographic showing various Remote Graphql Developer job openings in Chicago, IL as of June 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 23% Full Time, 53% Part Time, 18% Contract, and 3% Nights. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $115,217 per year, or $55.4 per hour.
Solutions Architect

Solutions Architect

Pryon

Chicago, IL • Remote

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

About Pryon: 
We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.

As a Solutions Architect at Pryon, you will be at the forefront of translating federal customer needs into robust technical solutions. From leading discovery sessions with government agencies and designing secure, compliant architectures to building POCs that showcase the power of our platform, you will help federal customers unlock the full potential of AI-driven knowledge management in mission-critical environments.
In This Role You Will:
  • Lead technical discovery sessions with federal customers and government stakeholders to scope requirements, define success criteria, and translate mission needs into actionable solution architectures.
  • Design scalable, secure, and high-performance architectures that align with federal compliance standards, security requirements, and customer-specific needs.
  • Build and deliver Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate technical approaches and demonstrate solution value in government environments.
  • Own end-to-end technical documentation, including architecture diagrams, technical specifications, integration guides, and deployment runbooks tailored for federal deployments.
  • Drive technical alignment across sales, engineering, and product teams throughout the solution lifecycle.
  • Guide solution implementation from initial design through deployment, ensuring smooth handoff to customer success and support teams.
  • Evaluate and integrate third-party tools, APIs, and platforms into customer solutions to meet functional, non-functional, and security requirements.
  • Contribute to internal knowledge bases, reference architectures, and reusable solution patterns for federal engagements.
What You'll Need to Be Successful
  • Active Top Secret security clearance (required)
  • Demonstrated experience in solution architecture, pre-sales engineering, or technical consulting with a track record of designing and delivering enterprise-grade systems for federal or defense customers.
  • Thorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure Government) and cloud-native design patterns in government environments.
  • Strong proficiency in Python with experience building production-quality applications and automation.
  • Expert-level understanding of system integration patterns, including RESTful and GraphQL APIs, webhooks, and event-driven architectures.
  • Solid understanding of SQL and database operations (e.g., query optimization, schema design, transactions).
  • Ability to lead technical discussions and present complex architectures to both technical and non-technical audiences, including government stakeholders.
  • Baseline understanding of AI/ML concepts (e.g., ML workflows, data pipelines, NLP, or RAG) and data science engineering practices.
  • Experience with orchestration frameworks, LLMs, or knowledge retrieval systems.
  • Familiarity with MLOps practices, such as model versioning, deployment pipelines, experiment tracking, and model monitoring.
  • Experience with FedRAMP, FISMA, or other federal compliance frameworks.
  • Exposure to additional programming languages or technology stacks is a plus
  • Strong problem-solving skills with the ability to analyze ambiguous requirements and propose effective solutions.
  • Experience with Agile methodologies and DevOps/CI-CD practices.
  • Strong written and verbal communication skills, with an emphasis on technical documentation.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
$160,000 - $180,000 a year
Benefits for Full Time Employees: 
- Remote first organization
- 100% Company paid Health/Dental/Vision benefits for you and your dependents
- Life Insurance, Short-term and Long-term Disability
- 401k
- Unlimited PTO

We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.

Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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