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United States
Remote only
We are seeking a Senior Security Engineer to take ownership of cloud-native and application security across the Redox platform. This is a high-impact, hands-on IC role where you will move beyond identifying risks to actively hardening our environment, performing code reviews, and translating complex control gaps into engineering proposals that drive production impact.
You will function as a partner to our Engineering teams, embedding security into the SDLC through hands-on work across container security, Kubernetes hardening, and architecture reviews. You'll follow and reinforce our established security standards, helping make the secure path the easy path for the engineers you work with day to day.
As part of a small, senior security team, your day to day work will directly strengthen how we protect data for our customers, with impact concentrated in the systems and teams you own.
We're a fully remote team within the U.S. that operates with radical transparency and a strong bias toward ownership.
Transparency, Ownership & Autonomy
We make room for everyone to be heard, regardless of level. We work openly, normalize not knowing things, and treat "learning out loud" as a feature, not a liability. You'll be expected to bring your real perspective, push back when you see something wrong, and commit fully once a decision is made. As a Senior Engineer, you help cultivate our culture: you model the behavior, you embrace questions, you acknowledge mistakes.
We default to public Slack channels over DMs, post Zoom summaries back in writing, and work async whenever possible. We'd rather expose incomplete thinking in public to get better feedback than protect it in private. That applies to security work too, when you identify a risk or propose a control, you bring it to the table with a recommendation, not just a concern.
We own the systems we maintain, not just the new features on the roadmap. You'll have room to identify platform security work, propose scope, consult on priority, and see it through from design to operationalization. We measure ourselves by the value we deliver, not the process we follow.
Own Cloud Security Posture Management including Kubernetes and Container security practices, admission control, network policies, image integrity, and environment hardening.
Manage comprehensive vulnerability lifecycles, prioritizing remediation based on actual production exposure rather than simplistic finding metrics.
Collaborate with Platform Engineering to support secure SDLC and CI/CD safeguards, focusing on artifact validity and pipeline integrity.
Convert HITRUST and SOC 2 compliance frameworks into actionable technical configurations and operational controls.
Evaluate and secure infrastructure-as-code across all environments.
Execute incident response duties, encompassing forensic investigation and the facilitation of blameless post-mortem analyses.
Contribute to security standards within Engineering through design reviews, collaborative pairing, and mentorship of peers.
Support bug bounty triage and maintain professional engagement with external security researchers.
5+ years in security engineering with a track record of hands-on delivery across system hardening, security engineering projects, and peer mentorship.
Strong technical proficiency in Kubernetes security, specifically network policy orchestration, admission control (Kyverno), and container hardening protocols.
Experience with threat modeling for applications built using Node.js, TypeScript, Python or Go.
Hands-on experience supporting secure SDLC practices and CI/CD safeguards using GitHub Actions, ensuring artifact validity and pipeline integrity.
Direct experience hardening Infrastructure-as-Code (Terraform) and managing enterprise secrets via AWS Secrets Manager, Vault, or similar platforms.
Solid experience across the vulnerability management lifecycle, from initial triage to production remediation.
Ability to apply compliance frameworks like HITRUST and SOC 2 into pragmatic technical controls that align with engineering workflows.
Strong written communication skills, with the ability to clearly document decisions and collaborate effectively within a remote, asynchronous organizational culture.
Proficiency in AI tools and techniques, including prompt engineering and hands-on experience across multiple large language model platforms, with a demonstrated ability to automate workflows using AI.
AWS, Docker, EKS
Crowdstrike, Jamf, Okta, GuardDuty, Sumologic
Kyverno, Karpenter, KEDA, VPA, Velero, Crossplane
Github Actions, Terraform, Helm, ArgoCD and Atlantis
Postgres, Redis, Kafka
Experience securing autonomous agentic loops and tool-calling frameworks. Understanding of Indirect Prompt Injection and designing "Human-in-the-Loop" guardrails for agent-driven actions.
Technical familiarity with securing the Model Context Protocol (MCP), specifically regarding context isolation, sandboxing, and identity propagation between LLMs and private data sources.
Hands-on application of the NIST AI RMF, OWASP Top 10 for LLMs, etc within a production environment.
Go, Node.js, or TypeScript (we're a TypeScript shop and it helps to be comfortable there).
VPN administration or enterprise network security experience.
Dependency management tooling (Renovate, Dependabot).
