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Remote Sound Engineer Jobs in Missouri (NOW HIRING)

The environment is highly collaborative and remote-friendly, with significant autonomy and ... engineering standards and helping teams make sound architectural decisions without relying on ...

$200K - $250K/yr

This is an opportunity to lead a talented engineering team within a fully remote, globally ... Outcome-oriented mindset, technical curiosity, sound judgment, and a strong focus on delivering ...

$42 - $55.50/hr

This primarily remote role involves close collaboration with the Technical Team to design ... The role offers room to influence technical direction, support sound decision-making, and take ...

$42 - $55.50/hr

This primarily remote role involves close collaboration with the Technical Team to design ... The role offers room to influence technical direction, support sound decision-making, and take ...

The environment is remote-first, collaborative, and highly autonomous, with a small engineering team where individual contributions have visible impact. This role is ideal for an experienced full ...

Implement software engineering best practices and ensure system performance and security * Collaborate with cross-functional teams to drive innovation and continuous improvement * Develop, implement ...

The position combines hands-on engineering with the architectural leadership needed to deliver ... Apply sound architectural judgment to determine when AI-generated solutions require manual ...

Apply sound commercial judgment in product selection, pricing strategies, and customized solutions ... Remote: Ability to work independently in a fully remote environment with minimal supervision ...

Showing results 21-40

Remote Sound Engineer information

What does a remote sound engineer do?

A Remote Sound Engineer is responsible for managing, mixing, and editing audio for various projects from a remote location, rather than on-site. They work with clients and teams online to ensure high-quality sound for music, podcasts, film, or live streams. This role often involves using specialized audio software, collaborating via communication tools, and troubleshooting technical issues remotely. Their expertise ensures that the final audio product meets industry standards and client expectations.

What skills and qualifications are needed to thrive as a remote sound engineer?

To thrive as a Remote Sound Engineer, you need expertise in audio engineering principles, signal flow, recording, mixing, and often a relevant degree or certification in audio production. Proficiency with digital audio workstations (DAWs) like Pro Tools, Logic Pro, or Ableton Live, as well as remote collaboration tools, is typically required. Attention to detail, strong communication, and problem-solving skills help ensure smooth remote workflows and client satisfaction. These abilities are crucial for producing high-quality audio content and meeting client expectations in a distributed work environment.

How do remote sound engineers typically collaborate with artists and production teams during projects?

Remote sound engineers frequently use cloud-based platforms and communication tools to collaborate effectively with artists, producers, and other team members. They often attend virtual meetings, share project files through secure file transfer services, and provide real-time feedback via video calls or messaging. Clear communication and organized file management are essential, as engineers may work across different time zones and need to coordinate revisions promptly. This collaborative approach allows remote sound engineers to deliver high-quality work while maintaining flexibility and responsiveness.

What is the difference between Remote Sound Engineer vs Remote Audio Technician?

AspectRemote Sound EngineerRemote Audio Technician
CredentialsAudio engineering degree or certification, technical skillsTechnical training or certification, practical audio skills
Work EnvironmentStudio, live events, post-production, remote editingFieldwork, studio setup, remote troubleshooting
Industry UsageMusic, film, broadcasting, podcastingBroadcasting, live events, audio equipment setup

Remote Sound Engineers focus on mixing, editing, and producing audio content, often requiring advanced technical skills and certifications. Remote Audio Technicians handle equipment setup, troubleshooting, and maintenance, typically with practical training. Both roles work remotely but serve different functions within the audio industry.

Are remote sound engineers in demand?

Remote sound engineers are in increasing demand due to the growth of online media, virtual events, and remote production projects. Skills in digital audio workstations, editing, and communication tools are essential, and many companies seek professionals who can work independently in a flexible environment.

Can a remote sound engineer work remotely?

Yes, a remote sound engineer can work remotely, as many audio editing, mixing, and mastering tasks can be performed using digital audio workstations and online collaboration tools. This allows sound engineers to work from any location, provided they have the necessary equipment, a stable internet connection, and relevant technical skills. However, some roles may require on-site presence for recording sessions or equipment setup.

What are the most commonly searched types of Sound Engineer jobs in Missouri?

The most popular types of Sound Engineer jobs in Missouri are:

What job categories do people searching Remote Sound Engineer jobs in Missouri look for?

The top searched job categories for Remote Sound Engineer jobs in Missouri are:

What cities in Missouri are hiring for Remote Sound Engineer jobs?

Cities in Missouri with the most Remote Sound Engineer job openings:

Infographic showing various Remote Sound Engineer job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Tech Lead, Backend - GraphAware Hume

Jobgether

Remote

Full-time

Posted 9 days ago


Key responsibilities

  • Drive platform architecture and technical direction, influencing cross-cutting architectural decisions across the engineering organization.

  • Lead backend engineering initiatives by building secure, modular, scalable APIs and platform services for graph-based data.

  • Collaborate with Product Managers and engineering teams to translate product goals into technical strategies, roadmaps, and architectural priorities.


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 Tech Lead, Backend - GraphAware Hume based in Netherlands.

This is a senior technical leadership role focused on the platform foundations of a graph-powered analytics product.
You'll shape backend architecture and technical direction across capabilities used by multiple engineering teams.
The role combines hands-on development with deep expertise in graph databases, APIs, security, and scalable systems.
You'll be the technical authority for graph architecture, continuously evaluating new technologies and opportunities to improve the platform.
You'll work closely with engineers and Product Managers to turn product goals into robust, long-term technical roadmaps.
The environment is highly collaborative and remote-friendly, with significant autonomy and influence without formal people-management responsibilities.
Your work will help deliver intelligence systems that enable organizations to extract meaningful insights from complex connected data.

Accountabilities
  • Drive platform architecture and technical direction, owning the transversal foundations that feature teams build upon and influencing cross-cutting architectural decisions across the engineering organization.
  • Own the graph technology strategy, continuously evaluating new releases, ecosystem tooling, and capabilities, while testing them against real workloads, anticipating breaking changes, and planning scalable migrations.
  • Optimize graph performance and scalability by designing and refining Cypher queries, graph access patterns, data models, and database architecture for latency, throughput, and reliability.
  • Lead backend engineering initiatives, building secure, modular, scalable APIs and platform services that provide intuitive access to complex graph-based data.
  • Design secure access-control systems suitable for mission-critical environments, applying strong security principles throughout backend architecture and implementation.
  • Orchestrate graph-powered workflows that automate analytics, inference, and real-time insight generation.
  • Partner with Product Managers and engineering stakeholders to translate long-term product objectives into practical technical strategies, roadmaps, and architectural priorities.
  • Provide technical mentorship and influence, raising engineering standards and helping teams make sound architectural decisions without relying on formal management authority.
  • Drive consensus across teams for significant architectural changes, clearly communicating trade-offs, risks, and long-term implications.
  • Anticipate platform-level challenges before they affect product teams, proactively identifying opportunities to improve reliability, scalability, maintainability, and developer experience.
  • Contribute hands-on to development and delivery, applying modern engineering practices across design, implementation, testing, debugging, profiling, CI/CD, and deployment.
  • Collaborate effectively in a distributed environment, using asynchronous communication and remote-working practices to maintain alignment across geographically dispersed teams.
Requirements:
  • 8+ years of backend engineering experience, including work on large-scale, complex applications and collaboration across multiple technical and functional teams.
  • Deep, hands-on Neo4j expertise, including advanced Cypher optimization, query profiling, graph access patterns, and familiarity with the broader ecosystem such as Graph Data Science (GDS), APOC, and Neo4j drivers.
  • Strong graph data modelling experience, with the ability to model real-world domains using nodes, relationships, labels, and properties as core architectural concepts; relational database experience, such as PostgreSQL, is a plus.
  • Proven technical leadership experience, including ownership of architecture and technical direction for a team, platform, or product area rather than simply contributing to decisions made by others.
  • Strong Java or JVM expertise, with the ability to work confidently in a Java codebase and apply modern software engineering principles such as Clean Architecture, Domain-Driven Design (DDD), and Test-Driven Development (TDD).
  • Experience with Spring or comparable backend frameworks, particularly for developing secure, modular, maintainable, and scalable APIs.
  • Advanced debugging and profiling skills, with a track record of diagnosing complex technical issues and improving system performance.
  • Strong software engineering fundamentals, including writing composable, maintainable, testable code and designing systems for long-term scalability.
  • Practical security expertise, including secure software design, common vulnerabilities, and OWASP principles.
  • Working knowledge of CI/CD and cloud-native practices, including Docker, automated deployment workflows, and modern observability approaches.
  • Ability to influence without formal authority, build consensus across engineering teams, and guide organization-wide architectural change.
  • Strong communication and collaboration skills, particularly in distributed and asynchronous environments.
  • Bonus: Experience with knowledge graphs, GraphRAG, or grounding LLMs using graph-based retrieval technologies such as neo4j-graphrag, LangChain, or LlamaIndex.
  • Bonus: Familiarity with graph algorithms and analytics, including pathfinding, centrality, and community detection, as well as event-driven architectures, Kafka, or distributed systems.
  • Bonus: Experience evolving large graph data models through schema refactoring, migrations, and versioning.
  • Bonus: Exposure to cloud-native development, observability, and performance tuning.
Benefits:
  • Competitive compensation package aligned with your experience and expertise.
  • Flexible, remote-friendly working environment designed for distributed collaboration.
  • High level of autonomy and ownership, with the opportunity to shape technical direction and product architecture.
  • Opportunity to work on knowledge graphs, graph analytics, workflow engines, LLM-related technologies, and graph-native user experiences.
  • Meaningful work contributing to intelligence systems designed to help organizations make better decisions from complex data.
  • Collaboration with experienced engineers, data scientists, product leaders, and technical specialists across Europe and beyond.
  • Strong opportunities for professional growth in an environment focused on technical excellence rather than bureaucracy or micromanagement.
  • Inclusive and collaborative culture that values relationships, openness, intellectual honesty, innovation, and customer success.
  • Opportunity to influence the future of graph technology and intelligent applications at significant scale.
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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