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Remote Backend Developer Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

This fully remote role is ideal for an experienced engineer who enjoys solving foundational ... backend engineering, or a closely related discipline, with experience building and operating ...

New

Brillio

Node.js Developer (AWS)- R01568706

Saint Louis, MO · Remote

$49.75 - $64.50/hr

Node Backend with Microservices: Senior Software Development Engineer Job requirements * Role: Node.js Developer (AWS) Years of Experience: 8+ years Location: Remote/New York, NY (Hybrid 2-3 days) As ...

Jobgether

Working across data engineering, backend development, and personalization, you will design systems ... Benefits * 100% remote work with flexible working hours and designated core collaboration hours.

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Required Skills Python: experience working with production backend services and data tooling ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Required Skills Python: experience working with production backend services and data tooling ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Design, build, and operate serverless backend services and automations as Azure Functions in both ... Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ...

Third-Party Job Posts

Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence ... You will work across customer-facing applications, backend services, data pipelines, analytical ...

Jobgether

$94K - $124K/yr

This is a fully remote, international engineering environment where technical ownership, security, and scalability are highly valued. Accountabilities * Design, develop, and maintain backend services ...

Jobgether

This is a collaborative, remote role in a fast-moving environment where ownership, curiosity, and ... Perform backend testing through multiple interaction methods, including REST APIs, message queues ...

Premier Tech Inc

Software Engineer

Kansas City, MO · Remote

Remote (All candidates must reside within 100 miles of Kansas City) Hours: 37.5 hrs/week Note: An ... Build and maintain secure, scalable REST APIs and backend services. * Improve application ...

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Remote Backend Developer information

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How much do remote backend developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote backend developer in Missouri is $54.15, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $64.04 per hour, depending on experience, location, and employer.

What is a remote backend developer?

A Remote Backend Developer is responsible for building and maintaining the server-side logic, databases, and APIs that power web or mobile applications. They work remotely, often collaborating with frontend developers, UX designers, and product managers to ensure smooth data processing and system performance. Their tasks include writing and optimizing backend code, managing databases, integrating third-party services, and ensuring application security and scalability. This role typically requires proficiency in backend programming languages such as Python, Java, Node.js, or Ruby, along with experience in cloud services and database management. Remote Backend Developers must have strong problem-solving skills and be comfortable working independently while communicating effectively with distributed teams.

What are the typical daily responsibilities of a remote backend developer?

As a Remote Backend Developer, your daily responsibilities often include designing, developing, and maintaining server-side applications, integrating with databases, and creating RESTful APIs for front-end consumption. You’ll regularly participate in code reviews, resolve bugs or performance issues, and collaborate with team members via online communication tools like Slack, Zoom, and project management platforms. Working remotely also means being proactive with documentation and staying aligned with team goals and timelines. This role typically requires a mix of independent work and interaction with front-end developers, product managers, and QA engineers to deliver well-integrated, high-quality software solutions.

What are the key skills and qualifications needed to thrive as a remote backend developer?

To thrive as a Remote Backend Developer, you need strong programming skills in languages such as Python, Java, or Node.js, a solid understanding of databases, and experience with designing APIs and server-side logic. Familiarity with tools and frameworks like Docker, Kubernetes, Git, and cloud platforms (AWS, Azure, or Google Cloud) is highly valued, and relevant certifications can further demonstrate your expertise. Excellent problem-solving abilities, effective communication, and the ability to work independently or within distributed teams are crucial soft skills. These skills ensure you can build reliable, scalable systems and collaborate efficiently in a remote development environment.

What are the most commonly searched types of Backend Developer jobs in Missouri?

The most popular types of Backend Developer jobs in Missouri are:

What are popular job titles related to Remote Backend Developer jobs in Missouri?

For Remote Backend Developer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Backend Developer jobs in Missouri look for?

The top searched job categories for Remote Backend Developer jobs in Missouri are:

What cities in Missouri are hiring for Remote Backend Developer jobs?

Cities in Missouri with the most Remote Backend Developer job openings:

Remote Backend Developer jobs near you
Infographic showing various Remote Backend Developer job openings in Missouri as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $112,641 per year, or $54.2 per hour.

Senior AI Platform Engineer

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

PTO

Posted 2 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Platform Engineer based in Netherlands.

This is a senior engineering opportunity focused on building the foundational platform layer behind secure, production-grade AI applications. You will design shared infrastructure, services, integrations, and developer tooling that enable teams to build and scale AI capabilities efficiently. The role combines hands-on work with LLMs, AI agents, RAG, tool calling, and AI workflows with strong data engineering and platform engineering practices. You will leverage modern cloud and data technologies to turn experimental AI use cases into reliable, scalable production systems. Working across Engineering, Product, and IT, you will establish technical patterns, reusable capabilities, and governance standards for AI development. This fully remote role is ideal for an experienced engineer who enjoys solving foundational problems and shaping how AI is built and operated across an organization.

Accountabilities:
  • Design and build reusable platform capabilities supporting LLM applications, AI agents, RAG, tool calling, and AI workflows.
  • Develop scalable data and knowledge pipelines covering ingestion, embeddings, retrieval, vector search, metadata, and knowledge management.
  • Build secure integrations between AI applications, enterprise data, and business systems using APIs, MCP, tool calling, and comparable integration patterns.
  • Develop reusable frameworks, libraries, services, SDKs, and developer tooling that allow engineering teams to build AI applications efficiently.
  • Establish technical standards and patterns for AI deployment, observability, evaluation, monitoring, and lifecycle management.
  • Define and improve approaches for measuring AI quality, accuracy, latency, reliability, security, and cost.
  • Take AI capabilities from experimentation and prototyping through reliable, scalable, and maintainable production deployment.
  • Ensure AI platform capabilities comply with security, privacy, authentication, authorization, access control, and data governance requirements.
  • Work with Engineering, Product, and IT teams to identify AI opportunities and translate ambiguous business needs into practical technical solutions.
  • Evaluate emerging AI models, frameworks, infrastructure technologies, and development approaches to determine their potential business value.
  • Contribute to the evolution of platform architecture, engineering standards, and reusable AI capabilities across the organization.
  • Promote strong data engineering and platform practices around data modeling, data quality, secure data access, and operational reliability.
Requirements:
  • 5+ years of professional experience in data engineering, platform engineering, backend engineering, or a closely related discipline, with experience building and operating production systems.
  • Strong proficiency in Python and SQL.
  • Hands-on experience building and deploying production applications or services using LLMs and generative AI.
  • Practical experience with RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems.
  • Strong data engineering fundamentals, including data pipelines, data modeling, data quality, and secure data access.
  • Experience with Snowflake, Databricks, or comparable modern data platforms, together with tools such as dbt, Airflow, or similar technologies.
  • Proven experience building shared AI infrastructure, platforms, or reusable AI capabilities rather than focusing exclusively on individual AI applications.
  • Experience taking AI systems from experimentation and proof of concept through reliable production deployment.
  • Solid understanding of security, authentication and authorization, privacy, access control, and data governance.
  • Strong ability to translate ambiguous AI opportunities into practical, scalable engineering solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively across Engineering, Product, IT, and other stakeholders.
  • Experience with AWS Bedrock or other managed foundation-model platforms is an advantage.
  • Hands-on experience with MCP (Model Context Protocol) or comparable approaches for connecting AI systems to enterprise tools and data is a plus.
  • Experience with LLM evaluation, AI observability, monitoring, quality management, or responsible AI practices is desirable.
  • Familiarity with LangChain, LangGraph, vector databases, search technologies, internal developer platforms, SDKs, APIs, or reusable infrastructure is a strong advantage.
  • Fluent professional proficiency in English, both written and spoken.
  • Reliable home internet connection suitable for fully remote work.
Benefits:
  • Fully remote working environment with the flexibility to work from home.
  • Ability to work from anywhere within the permitted employment locations and time-zone range, subject to local work authorization.
  • Approximately 40 days of paid time off per year, including holidays and vacation, or more where required by local regulations.
  • Mental health and wellbeing support.
  • Monthly wellbeing allowance that can be used across a broad range of eligible services and activities.
  • Flexible parental leave, including at least three months of paid leave for new parents, subject to applicable local requirements.
  • Work-from-home stipend for laptop and home office equipment.
  • Fully distributed, international working environment with colleagues across multiple countries and cultures.
  • Asynchronous and collaborative working model designed for globally distributed teams.
  • Opportunity to work on foundational AI infrastructure and influence how AI applications are developed and operated at scale.
  • Exposure to cutting-edge technologies including LLMs, AI agents, RAG, MCP, vector search, modern data platforms, and AI governance.
  • Strong opportunity for technical ownership, professional growth, and meaningful impact within a global technology organization.
  • Inclusive and diverse environment that values autonomy, trust, collaboration, and continuous progress.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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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