Senior Security Engineer
Own and harden the security program for a SaaS home-care platform, driving SOC 2 Type II compliance, HITRUST certification, and secure AWS/Docker/PHP/React stacks while mitigating AI-specific risks.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Security
- Posted
Skills
Must have
- A builder, not just an auditor. You've built or run a security program inside a product company, not just assessed one from the outside. You can point to systems, controls, and habits you put in place
- A technical peer to engineers. You read code, read Terraform, and talk to developers in their language. When you flag a vulnerability, you can explain the fix, not just the finding.
- A pragmatist. You understand that we need to ship. You weigh tradeoffs, probability, and impact, not by saying no to everything.
- A strong writer. Remote work demands it, and clear writing is clear thinking. You'll write policies, incident reports, audit narratives, and messages to engineers explaining why something matters. Cla
- An AI-aware security thinker. You're already wrestling with what AI means for security: new attack surfaces, new tooling, new ways that development workflows create risk.
- 5+ years in application security, infrastructure security, or security engineering at a SaaS company
- Hands-on experience with AWS security (IAM, VPC, Security Groups, KMS, CloudTrail, GuardDuty)
- Experience owning or heavily contributing to the engineering side of SOC 2 Type II compliance
- Familiarity with container security (Docker, Kubernetes) and infrastructure-as-code (Terraform)
- Solid grasp of web application security fundamentals (OWASP Top 10, secure SDLC)
- Experience securing AI/ML systems or LLM-powered products
- Concrete examples of how you've used AI to improve your own security work: automating compliance tasks, speeding up threat analysis, building detection rules faster, or something we haven't thought of
- Able to work remotely from the Eastern, Central, or Mountain time zones
- Qualified to work in the United States or Canada
Full description
Senior Security Engineer
Reports To: Director of Engineering
Summary
AxisCare is hiring a full-time, fully remote Senior Security Engineer to own security and compliance across our SaaS platform, the market-leading product powering the home care industry.
This is not a job where you'll write policies that nobody reads. You'll work directly with product engineering teams, embedded in how we build software, shaping our security posture. You'll own engineering's side of our SOC 2 Type II compliance program, lead us toward HITRUST certification, and keep our AWS infrastructure, Docker pipelines, and PHP/React codebase hardened as we move fast.
We're also building AI-powered products on top of Amazon Bedrock and our own machine learning models, and we use AI heavily in how we develop software. That creates new kinds of risk that most security playbooks don't cover yet. We need someone who's thinking about this already and building the guardrails that agents need to write secure software.
Home care agencies trust us to run their business every day. Their data includes protected health information. We need someone who takes that personally.
What You'll Do
Own AxisCare Engineering's security program as an individual contributor. Continually improve our security standards as threats evolve, strengthen the systems that enforce them, and work directly with engineers to close gaps.
Own engineering's share of SOC 2 Type II compliance: control design, evidence collection, audit prep, and gap remediation. Chart the path toward HITRUST certification, mapping what we already have and building what we don't.
Threat-model our application and infrastructure. We run a PHP/React modular monolith on AWS, managed with Terraform, deployed in Docker containers, backed by MySQL in RDS. Raise the bar on this stack's security (IAM policies, VPC design, secrets management, container security, database access controls) and keep raising it as the architecture evolves.
Own and improve our security scanning program. Tune findings, cut false positives, and make sure scan results turn into developer action.
Assess and mitigate the security risks inherent in our AI products: prompt injection, data leakage, model output filtering, abuse scenarios. Set guardrails for AI-assisted development workflows so the team ships faster without opening new attack surface.
Strengthen our detection and response capabilities: logging, alerting, incident response playbooks. Coordinate penetration tests, track findings, and drive remediation.
Keep our security policies clear, current, and short. Train developers on secure practices without burying them in process.