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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Security Engineer II - **Company:** Hi Marley - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $121,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, Software as a Service, Cloud Computing Security, Cyber Security, Information Leak Prevention, Github, Identity and Access Management, Intrusion Detection and Prevention, Python (Programming Language), Key Management, Network Planning and Design, OAuth, OpenID, Cloud Services, Security Assertion Markup Language (SAML), Security Information and Event Management, Data Streaming, Systems Integration, Software Vulnerability Management, Data Logging, Spring Cloud, Large Language Models, Generative AI, Agentic-AI, Build Management, Opsworks, Terraform, Data Pipelines, Static Application Security Testing - **Published:** October 27, 2026 - **Apply:** https://www.thejobnetwork.com/job/a9b0880b-10bd-4bb6-bca3-64e95a7cfacf/sr-security-engineer-ii ## About the Role Required * 5+ years in security engineering, cloud security, or infrastructure security, including leading threat modeling and design reviews, ideally at a SaaS company. * Hands-on AWS and identity security experience: IAM, network design, encryption, logging, native security services, SSO, MFA, and conditional access. * Experience building security controls and automation as code: Terraform or similar IaC, security tooling in CI/CD pipelines, and strong Python. * Experience running vulnerability management and producing audit evidence for SOC 2, ISO 27001, or similar frameworks. * Proven ability to lead threat modeling and security architecture reviews for cloud-native applications, SaaS integrations, and internal tooling. * Ability to communicate technical risk clearly to engineers, product managers, and auditors. * Interest in AI and how it changes the attack surface. You don't need to be an AI security specialist, but you should want to help us adopt AI securely and learn by doing. Preferred * Experience securing LLM-based systems, agentic frameworks, or MCP connectors, and an understanding of AI-specific attack surfaces such as prompt injection, tool-use exploitation, and data leakage. * Familiarity with ISO/IEC 42001 or the NIST AI RMF. * Experience with detection engineering, SIEM, or observability for cloud and SaaS environments. * Working knowledge of OAuth 2.0, OIDC, and SAML, including delegated access and token scoping for integrations. * Experience at a growth-stage B2B SaaS company in a regulated industry. ## Description As we continue to grow, we're looking for a Senior Security Engineer II to secure the internal tools and platforms that power Hi Marley's business. This is a hands-on engineering role working side by side with our Technical and Operations teams as they design, build, and run the tools our teams rely on every day, including a growing set of LLM integrations, agents, and MCP connectors. Reporting to our Director of Security, you'll shape the security architecture of our corporate and cloud environment, build guardrails into our infrastructure, lead threat modeling and design reviews, turn findings into fixes, and make sure our controls produce evidence an auditor can verify. This role is for an experienced security engineer who thinks in systems, writes code, and wants to help us adopt AI securely. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 3 days each week. What You'll Do: Security Architecture & Engineering * Strengthen the security of Hi Marley's corporate environment: identity and access (SSO, MFA, conditional access, and privileged access), SaaS configuration and integrations, and the AWS accounts that host our business and AI tools. * Design and maintain secure reference patterns and preventive and detective guardrails as code (Terraform, service control policies, AWS Config, conditional access, and SaaS posture policies), so teams can adopt new tools quickly without reinventing controls. * Run vulnerability and misconfiguration management across endpoints, SaaS applications, and cloud workloads, prioritizing exploitability and exposure, and tune detections from AWS, identity, and endpoint tooling to cut noise. * Lead threat modeling and security design reviews for new tools, integrations, automations, and data flows before they go live, driving mitigations into the design phase. * Partner with IT and AI-Operations (AI-Ops) teams on identity lifecycle, least-privilege access, secrets management, and workload isolation across our corporate environment. Emerging Technology Security * Apply the same architecture and threat modeling disciplines to the LLM integrations, agent frameworks, MCP connectors, and data pipelines they build. * Integrate security into the pipelines that build and deploy internal AI-enabled tools and automations: SAST, SCA, secret detection, and IaC scanning (GitHub Advanced Security or similar), tuned so builders trust the signal. * Implement controls for agent isolation, credential and token scoping, and data-boundary enforcement in agentic workloads and AI-connected business tools. * Support adversarial testing for AI-specific risks (e.g. prompt injection, data exfiltration, and tool-use abuse) and penetration tests of our AI systems, and drive remediation of what they find. * Contribute to security reviews of new AI tools, integrations, and third-party model providers. Trust, Compliance & Collaboration * Design controls that produce audit evidence by default and supply the technical evidence and documentation behind our SOC 2 Type II examinations and ISO 42001 certification. * Build security tooling and automation that removes manual work from access reviews, detection, evidence collection, and response. * Translate technical decisions into clear, auditor-ready explanations of what we do, how it works, and why it is safe. * Mentor engineers, IT staff, and the business teams building with AI on secure design through reviews, documentation, and hands-on guidance. * Track and report security metrics that show whether the program is working., * Max Courage - We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk. * Be Humble - We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere.