Top Hybrid Cybersecurity Jobs in Boston, MA

Partners with Sales to lead technical discovery, solution design, demonstrations, proof-of-value and proof-of-concept engagements for enterprise cybersecurity, identity, access, asset visibility, exposure management, and risk solutions. Advises technical and executive stakeholders, translates capabilities into business outcomes, supports evaluations and deal progression, develops technical documentation, leads training, and collaborates cross-functionally. Travel is typically 25–50%.

Develop and maintain data-protection features in CrowdStrike Falcon sensor on Windows, working across kernel and user mode. Implement filesystem minifilter drivers, AI-aware detection/protection logic, debug kernel issues, own features end-to-end, and collaborate with cross-functional teams to ship and support endpoint data security capabilities.

Lead Workday security and compliance initiatives: analyze client needs, implement security controls and compliance programs, oversee integrations, train clients, mentor teams, and manage project quality to mitigate risk and protect sensitive data.

Lead design and implementation of cloud security strategies across IaaS, PaaS, and SaaS. Conduct risk assessments, implement IaC and automated enforcement, integrate security scanning into CI/CD, mentor junior staff, build client relationships, and deliver practical solutions to complex cloud security problems while maintaining professional standards.

Lead go-to-market and sales for Cyber Managed Services by developing strategies, identifying and qualifying opportunities, building executive relationships, orchestrating solution teams, and partnering with delivery to drive revenue growth and client satisfaction. Mentor leaders and shape engagement approaches while staying current on threat landscape and competitive insights.

Leads enterprise security engineering, architecture, cloud and security platform operations, AI security governance, incident response, compliance, and technical team development. Designs controls for AI systems, manages cybersecurity technologies, supports audits and regulatory engagements, mentors security staff, and serves as the designated backup to the CISO. The role combines strategic leadership with hands-on technical execution and executive collaboration.

Secure Hi Marley’s internal AI environment by threat-modeling LLM integrations, agents, MCP connectors, and data pipelines; enforcing isolation, least privilege, and data boundaries; conducting AI red-team testing; managing AI tool governance; maintaining incident response runbooks; and producing SOC 2 and ISO 42001 compliance evidence. Partner with AI Operations and IT on access controls, cloud workload isolation, DLP, monitoring, and safe AI usage guidance.

Sets application security direction and standards across engineering teams. Builds scalable security tooling, automation, and observability; leads threat modeling, risk assessments, code reviews, and multi-team remediation. Develops strategies for AI-powered systems and agentic development risks, API security, and software supply chain security. Partners with engineering and security teams, prioritizes investments, communicates risk to leadership, and mentors AppSec engineers.

Perform IT audits and assessments across enterprise systems and applications, focusing on cybersecurity, cloud, AI, and digital infrastructure. Evaluate inherent and residual risks, test control design and effectiveness, set audit scope, and deliver value-added recommendations while mentoring associates and collaborating with stakeholders to mitigate technology risks.

Support governance, risk, and compliance by managing third-party risk, customer security assurance, cyber risk, SOX ITGCs, and security governance. Partner with security, engineering, legal, audit, privacy, finance and procurement to build scalable processes, improve audit readiness, and automate security workflows.

Lead cloud security strategy across AWS, GCP, Kubernetes, and self-managed systems. Define security standards, reference architectures, threat-modeling practices, IAM controls, detection engineering, incident response, vulnerability management, and secure infrastructure pipelines. Serve as a senior technical leader, mentor engineers, guide cross-functional initiatives, and develop scalable security controls and playbooks. The role requires production cloud security ownership, hands-on AWS, GCP, Kubernetes, Python, and Terraform experience.

Lead strategy, roadmap, and delivery of a shared IAM platform for reusable identity and access services. Conduct discovery, define use cases, partner with engineering/security/devops, drive standards (OIDC, SAML, SCIM), measure adoption and SLOs, and support go-to-market and cross-functional enablement.