Cyber Security Engineer in United States at Jobgether

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

This role sits within a high-performing security engineering organization responsible for protecting a cloud-native digital banking platform at massive scale.
You will design and build automated, self-healing security infrastructure across distributed AWS and Kubernetes environments.
The position focuses on engineering security as code, including cryptographic lifecycle management, telemetry pipelines, and policy automation.
A key aspect of the role is leveraging AI-assisted engineering tools daily to accelerate security workflows and build agent-driven automation systems.
You will help eliminate manual security processes by embedding controls directly into CI/CD pipelines and infrastructure.
The role also involves shaping security architecture through threat modeling, compliance automation, and cross-team collaboration.
This is a deeply technical, forward-looking engineering role where security, cloud-native systems, and AI converge.

Design, build, and scale automated security systems across cloud-native environments while embedding security into engineering workflows:

• Engineer security infrastructure across AWS and Kubernetes, including telemetry pipelines, compliance automation, and scalable control frameworks.
• Build and maintain AI-driven security workflows using agentic tools (e.g., Claude Code, MCP integrations, custom agent systems).
• Automate cryptographic lifecycle management, including key generation, rotation, storage, certificate issuance, and revocation.
• Develop security telemetry systems that detect, enrich, and route signals for automated response and remediation.
• Embed security controls into CI/CD pipelines using policy-as-code and automated enforcement mechanisms.
• Design and maintain compliance automation systems that generate audit-ready evidence from continuous data streams.
• Create and evolve threat models that guide security architecture and reusable engineering patterns.
• Support incident response teams by building detection, containment, and recovery tooling.
• Review and influence architectural decisions across engineering teams to ensure secure design principles.
• Evaluate and prototype emerging AI-assisted engineering tools and promote scalable solutions into production.

The ideal candidate is a strong security-focused engineer with deep cloud-native expertise and hands-on experience building automated systems:

• 5+ years of experience in security engineering, software engineering, or related technical disciplines.
• Strong experience building production systems in Python or similar languages with infrastructure-as-code tools such as Terraform.
• Hands-on experience in cloud-native environments, particularly AWS and Kubernetes.
• Proven experience working with CI/CD pipelines and embedding security into deployment workflows.
• Experience using at least two AI/agentic coding tools in production contexts (e.g., Claude Code, Cursor, Codex, Gemini).
• Strong understanding of cybersecurity principles, threat modeling, and secure system design.
• Knowledge of PKI, certificate lifecycle management, and cryptographic systems.
• Experience with security telemetry/logging systems (e.g., OpenSearch or similar).
• Familiarity with compliance frameworks such as SOC 2, PCI DSS, and CIS Benchmarks.
• Strong communication skills and ability to work effectively in remote, async-first environments.
• Self-driven engineering mindset with strong bias toward automation and eliminating manual processes.

• Competitive salary range: $140,000 – $160,000/year.
• Comprehensive healthcare coverage (medical, dental, and vision).
• 401(k) retirement plan with company match.
• Flexible PTO, paid holidays, and paid sick leave.
• Paid parental and family leave policies.
• Equity in a fast-growing cloud-native technology company.
• Lifestyle spending account, tuition reimbursement, and monthly stipend benefits.
• Remote-first work environment with minimal travel requirements.
• Collaborative, innovation-driven engineering culture focused on continuous improvement.