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Remote Access Control Engineer Jobs in Missouri (NOW HIRING)

Jobgether

You'll work closely with engineers and Product Managers to turn product goals into robust ... Design secure access-control systems suitable for mission-critical environments, applying strong ...

Jobgether

Manage user accounts, permissions, system access, and related access-control processes ... remote work. * Experience supporting construction, engineering, infrastructure, multi-site, or ...

Jobgether

$100K - $120K/yr

... access control, encryption, and auditability. * Collaborate with business and technical ... Competitive annual salary of $100,000-$120,000 . * Full-time opportunity with a remote working ...

Jobgether

... and access-control layouts. * Perform structural load calculations for raised floors, POD and ... Benefits * Full-time position with a fully remote working arrangement from Europe. * Opportunity to ...

JARBO

Controls Engineer

Kansas City, MO · On-site +1

$77K - $99K/yr

Controls Engineer Responsibilities * Design and develop industrial control systems, including ... managed switches, remote I/O, and industrial networks. * Knowledge of UL 508A control panel ...

JARBO

Controls Engineer

Kansas City, MO · On-site +1

$77K - $99K/yr

Controls Engineer Responsibilities * Design and develop industrial control systems, including ... managed switches, remote I/O, and industrial networks. * Knowledge of UL 508A control panel ...

JARBO

Controls Engineer

Kansas City, MO · On-site +1

$77K - $99K/yr

Controls Engineer Responsibilities * Design and develop industrial control systems, including ... managed switches, remote I/O, and industrial networks. * Knowledge of UL 508A control panel ...

Harris

(Remote) Senior Software Engineer

Louisiana, MO · Remote

$108K - $142K/yr

Experience with software version control is required. The position requires deep experience with ... The developer is also expected to adopt approved AI-enabled development tools to improve analysis ...

Harris

(Remote) Senior Software Engineer

Louisiana, MO · Remote

$108K - $142K/yr

Experience with software version control is required. The position requires deep experience with ... The developer is also expected to adopt approved AI-enabled development tools to improve analysis ...

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Remote Access Control Engineer information

What is a remote access control engineer?

A Remote Access Control Engineer is an IT professional responsible for designing, implementing, and managing secure remote access solutions for an organization's systems and networks. Their main duties include configuring VPNs, managing access permissions, and ensuring that remote connections are protected against unauthorized access. They often work with various security tools, firewalls, and authentication protocols to maintain secure connectivity for remote employees or third parties. This role is critical for organizations that support remote or hybrid work environments, helping to safeguard sensitive data and ensure compliance with security policies.

What are the key skills and qualifications needed to thrive as a remote access control engineer?

To thrive as a Remote Access Control Engineer, you need a solid understanding of network security, access control systems, and authentication protocols, usually supported by a degree in computer science or related certifications like CompTIA Security+ or CISSP. Familiarity with tools such as VPNs, firewalls, identity and access management (IAM) platforms, and remote monitoring systems is essential. Strong problem-solving, attention to detail, and clear communication make someone stand out in this position. These skills ensure secure, reliable remote access and protect organizational assets from unauthorized use or cyber threats.

How does a remote access control engineer typically collaborate with on-site teams to ensure seamless system integration and issue resolution?

Remote Access Control Engineers work closely with on-site IT and security teams through regular virtual meetings, real-time communication tools, and remote monitoring software. They often assist with system installations, troubleshoot access issues, and provide guidance or training to staff on-site. Effective collaboration relies on clear documentation, proactive communication, and a strong understanding of both the technical environment and the physical security requirements. This teamwork ensures that remote configurations align with on-site needs and that any issues are swiftly addressed.

What is the difference between Remote Access Control Engineer vs Network Security Specialist?

AspectRemote Access Control EngineerNetwork Security Specialist
CredentialsCertifications like CompTIA Security+, Cisco CCNACertifications like CISSP, CISA, CompTIA Security+
Work EnvironmentIT departments, remote access systems, cybersecurity teamsNetwork infrastructure, security operations centers, consulting firms
Employer & IndustryTech companies, financial institutions, healthcareGovernment agencies, large enterprises, cybersecurity firms

While both roles focus on cybersecurity, the Remote Access Control Engineer specializes in managing remote access systems and permissions, ensuring secure connections for remote users. The Network Security Specialist has a broader scope, focusing on overall network security measures, threat mitigation, and infrastructure protection. Both roles often collaborate but serve distinct functions within cybersecurity teams.

What are popular job titles related to Remote Access Control Engineer jobs in Missouri?

For Remote Access Control Engineer jobs in Missouri, the most frequently searched job titles are:

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

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

What cities in Missouri are hiring for Remote Access Control Engineer jobs?

Cities in Missouri with the most Remote Access Control Engineer job openings:

Remote Access Control Engineer jobs near you

Tech Lead, Backend - GraphAware Hume

Jobgether

Remote

Full-time

Posted 7 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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