Cyber Security Engineer

Lumin Digital provides cloud-native digital banking solutions for financial institutions and their members. The Cyber Security Engineer will build and automate security infrastructure across AWS and Kubernetes, including cryptographic lifecycle management, security telemetry, compliance controls, and AI-assisted engineering workflows. The role also supports threat modeling, architectural reviews, incident response tooling, and collaboration with technical, risk, audit, vendor, and client teams.

Responsibilities:

• Engineer the security infrastructure the rest of the company depends on across AWS and Kubernetes: telemetry pipelines, cryptographic material lifecycle, compliance automation, and the architecture patterns that scale across hundreds of environments
• Build and maintain agentic AI workflows using tools like Claude Code, MCP-based integrations, and custom agent harnesses to automate security engineering tasks. Examples include code review for vulnerability patterns, drift detection in security controls, and automated evidence collection
• Engineer the lifecycle of cryptographic material as code, including key generation, secure storage, certificate issuance, rotation, and revocation. All steps version-controlled, automated, and recoverable without a human in the loop
• Build security telemetry pipelines that detect, enrich, and route signals with the fidelity our auto-remediation systems require
• Embed security controls into deployment pipelines so vulnerabilities are prevented or resolved at build time rather than discovered post-deployment, including policy-as-code rules and automated playbooks
• Build compliance evidence collection and continuous control monitoring as engineered systems that produce auditor-ready outputs from continuous data flows
• Develop and maintain threat models that inform security architecture decisions and prioritize where engineered controls earn their place. Promote learnings into reusable patterns the rest of engineering can adopt
• Consult, review, and approve architectural decisions by other infrastructure and product teams for security compliance and outcomes, with attention to where secrets are stored and how trust boundaries are crossed
• Provide engineering support to Security Operations during incident response: build the tooling, telemetry, and automation that aids detection, containment, and recovery, in coordination with the Sec Ops team that owns the response process
• Partner with other Risk functions, technical teams, auditors, vendors, and clients to translate security requirements into engineered systems and validate posture across all environments
• Evaluate emerging AI-assisted engineering patterns and tooling through proof-of-concept work, including agent harness designs, prompt patterns, and eval methodologies. Promote what proves itself into team standard practice
• Operate our COTS security tooling when needed, usually through IaC and automation we've built ourselves, occasionally by clicking through a vendor console
• Perform other duties as assigned

Requirements:

• Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, or a related field, or equivalent combination of demonstrated engineering experience, shipped projects, and certifications in security engineering, cryptography, or cloud-native automation
• 5+ years of hands-on experience in security engineering with a strong emphasis on building engineered systems rather than operating manual processes
• At least 1 year of production experience with at least 2 agentic coding tools, such as Claude Code, Gemini, Cursor, Codex, AMP, or OpenCode
• Demonstrated experience building and shipping production code in Python or a similarly capable language, with infrastructure-as-code tools such as Terraform
• Proven track record of working in cloud-native environments, with deep familiarity in AWS, Kubernetes, containerized workloads, and CI/CD pipeline integration
• Fluency with AI-assisted development tools like Claude Code and similar agentic coding assistants, including the ability to design, prompt-engineer, and orchestrate agents for security engineering workflows. Production experience where AI was load-bearing in the build
• Hands-on experience shipping at the agentic tool layer: MCP integrations, custom agent harnesses, or AI tool-use pipelines
• Strong software engineering fundamentals: version control, code review, testing, CI/CD, and API design, with the ability to write production-quality, maintainable code rather than throwaway scripts
• Hands-on proficiency with cloud-native engineering: AWS (KMS, IAM, Lambda, EKS, and supporting services), Kubernetes, and Terraform or equivalent IaC tools
• Technical knowledge of cybersecurity concepts, threat modeling, and secure design principles sufficient to consult on, review, and approve security-critical architectural decisions
• Working knowledge of PKI concepts and certificate lifecycle management, with the ability to engineer cryptographic lifecycles as code
• Experience with security telemetry pipelines and log analytics platforms (OpenSearch or similar), including data normalization, enrichment, and the structural fidelity required for downstream automation
• Working knowledge of cloud security and compliance frameworks (SOC 2, PCI DSS, CIS Benchmarks, AWS Well-Architected), with the ability to translate control requirements into automated, auditable systems
• Self-directed engineering mindset with a bias toward action, a low tolerance for manual toil, and a drive to eliminate recurring work through automation. A repeated manual process is a bug, not a task
• Excellent written and verbal communication, including the ability to translate complex security architectures into clear documentation and to operate as a consultative security partner across technical and non-technical teams. Comfort with a fully remote, async-first culture where Slack and thorough documentation are how decisions get made
• Minimal, generally 12 days or less per year, ~2X team get-togethers a year
• Experience with security telemetry platforms (OpenSearch or similar), PKI / certificate lifecycle management, or compliance automation preferred
• Nice to have: Contributions at the edge of what's possible with security and AI, including open-source projects, agent evaluation work, public writing, talks, or similar
• Industry certifications that demonstrate hands-on technical depth are valued but not required. Relevant examples include: AWS Security Specialty, HashiCorp Terraform Associate, HashiCorp Vault Associate, CKS (Certified Kubernetes Security Specialist), GPYC (GIAC Python Coder), GCSA (GIAC Cloud Security Automation), or (ISC)² CCSP