Managing Engineer -- Cyber Platform Engineering [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Managing Engineer – Cyber Platform Engineering based in the United States.

This leadership engineering role sits at the core of building next-generation cyber platform capabilities that enable secure, scalable, and intelligent operations across enterprise systems.
It offers the opportunity to shape foundational platforms that power AI adoption, security tooling, and advanced observability across cyber environments.
You will lead the design and delivery of production-grade systems that support mission-critical security operations at scale.
The role spans architecture, engineering execution, and operational excellence across distributed, cloud-native environments.
You will collaborate with cross-functional product and engineering teams to drive integration, standardization, and platform maturity.
It is a highly technical and leadership-focused position where your work directly impacts cyber resilience and automation capabilities.
The environment is fast-paced, innovation-driven, and centered on building reliable systems that support complex security use cases.

Accountabilities:

• Lead the design, development, and operation of scalable cyber platform capabilities supporting production-grade security and engineering systems.
• Build and maintain secure, reliable, and observable services, tools, or data pipelines aligned with platform engineering and cyber operations standards.
• Own platform lifecycle management, including reliability, performance, observability, and continuous improvement across services.
• Drive architecture decisions and integration strategies across AI platforms, security tooling, and observability or telemetry systems.
• Develop reusable services and automation frameworks that improve consistency, efficiency, and interoperability across engineering teams.
• Partner with cross-functional stakeholders to define technical roadmaps, delivery sequencing, and platform evolution strategies.
• Lead and mentor engineering teams, fostering strong execution, technical excellence, and systems thinking.
• Promote engineering best practices including automation, cloud-native design, and operational rigor in high-scale environments.

Requirements:

• 7+ years of experience in software engineering, platform engineering, data engineering, or distributed systems development.
• 3+ years of experience leading engineering teams or technical delivery in complex product or platform environments.
• Strong experience building and operating production systems with emphasis on reliability, scalability, security, and observability.
• Deep understanding of cloud-native architecture, integration patterns, and automation-driven engineering practices.
• Proven ability to design and deliver reusable platforms, services, or data capabilities used across multiple teams.
• Experience in cyber operations, security tooling, telemetry engineering, or observability systems is highly desirable.
• Strong leadership, communication, and stakeholder management skills in complex technical environments.
• Ability to balance hands-on technical depth with strategic leadership and execution accountability.
• Experience working in high-sensitivity or security-focused environments is a plus.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Benefits:

• Competitive annual salary ranging from $120,000 to $193,725 depending on experience and qualifications.
• Remote-first work structure with full U.S. flexibility.
• Comprehensive technology setup provided for home office use, including equipment and connectivity support.
• Monthly internet reimbursement for remote employees.
• Health, dental, and vision insurance coverage.
• Paid time off and well-being support programs.
• Opportunities to work on advanced cyber, AI, and platform engineering initiatives at scale.
• Inclusive and innovation-driven engineering culture focused on impact and growth.

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!

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.