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.
Our Engineering Culture & How We WorkTransparency, 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.
Job Responsibilities:
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.
Required Skills & Experience:
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.
Our stack - you'll be hands-on with these:
AWS, Docker, EKS
Crowdstrike, Jamf, Okta, GuardDuty, Sumologic
Kyverno, Karpenter, KEDA, VPA, Velero, Crossplane
Github Actions, Terraform, Helm, ArgoCD and Atlantis
Postgres, Redis, Kafka
Nice to have in your background:
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).
Skills Required
- 5+ years of security engineering experience with hands-on delivery in system hardening, security engineering projects, and peer mentorship
- Strong proficiency in Kubernetes security, including network policies, Kyverno admission control, and container hardening
- Threat modeling experience for applications built with Node.js, TypeScript, Python, or Go
- Hands-on secure SDLC and CI/CD safeguard experience using GitHub Actions
- Experience hardening Terraform infrastructure-as-code
- Experience managing enterprise secrets with AWS Secrets Manager, Vault, or similar platforms
- Experience across the vulnerability management lifecycle, including triage and production remediation
- Ability to apply HITRUST and SOC 2 frameworks to technical controls
- Strong written communication and ability to collaborate in a remote, asynchronous organization
- Proficiency with AI tools and techniques, including prompt engineering, multiple large language model platforms, and AI workflow automation
- Experience securing autonomous agentic loops and tool-calling frameworks
- Understanding of indirect prompt injection and human-in-the-loop guardrails
- Familiarity with securing the Model Context Protocol, including context isolation, sandboxing, and identity propagation
- Production experience applying the NIST AI RMF or OWASP Top 10 for LLMs
- Go, Node.js, or TypeScript experience
- VPN administration or enterprise network security experience
- Dependency management tooling experience with Renovate or Dependabot
- Eligibility to work in the United States and residence and work in the continental United States
What We Do
The short of it: Redox makes it easy to transport healthcare data between healthcare organizations and digital health companies. It's simple: you focus on innovation and caring for patients, and we take care of the nitty gritty of data exchange. The long of it: Healthcare organizations and technology vendors connect to Redox once, then authorize what data they send to and receive from partners through a centralized hub. Redox's cloud-based platform is vendor and standards agnostic and enables the secure and efficient exchange of healthcare data. This approach eradicates the need for point-to-point integrations and accelerates the discovery, adoption, and distribution of patient and provider-facing technology solutions. With hundreds of healthcare organizations and technology vendors exchanging data today, Redox represents the largest interoperable network in healthcare. Learn how you can leverage the Redox platform at www.redoxengine.com.
Why Work With Us
In order to do revolutionary things, we need a team of strong, diverse, mission-focused people. Whether we’re physically together or in our own little corner of the country, we are all focused on getting outcomes based on experimentation, data-driven decisions, and execution—and having some fun while doing it.
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