Top Cyber Security Jobs in Boston, MA

Design and guide security architecture for NVIDIA networking firmware and embedded subsystems. Responsibilities include threat modeling, analyzing firmware and hardware interactions, defining lifecycle security features, translating threats into requirements, partnering with hardware architects, and driving secure firmware development practices such as memory-safe C, static analysis, and fuzzing. The role requires expertise in firmware security, authorization models, cryptography, secure boot, attestation, and embedded systems.

Builds secure AI and agentic cybersecurity tooling, transforming research prototypes into production-ready services. Responsibilities include developing backend services, APIs, CLI tools, automation, and integration patterns; defining MVPs for ambiguous security and identity challenges; collaborating across research, product, enterprise security, and platform teams; and applying offensive security and adversarial thinking to address AI-specific risks such as injection, tool misuse, unauthorized access, data exfiltration, and unsafe delegation.

Lead architecture and hands-on development of Microsoft's AI Safety Platform, building observability, detection, investigation, threat-hunting, and distributed data-processing capabilities. Design attack detection infrastructure, correlate high-volume telemetry, apply AI security research, conduct security and privacy reviews, and partner across engineering, science, and incident response teams. Mentor engineers and provide technical leadership for complex AI security systems.

Develop and integrate network security software with firewalls, routers, switches, IPS, proxies, and other security devices. Responsibilities include gathering technical requirements, designing integrations, maintaining security-device test labs, assisting development and testing, creating test cases, troubleshooting complex integration issues, and documenting configurations. The role requires expertise in networking and security, packet analysis, major firewall vendors, virtualization, and regular expressions.

Conduct cybersecurity assessments and OT/ICS inventories at CONUS and OCONUS DoD facilities. Perform logical network scans, document topology and data flows, evaluate compliance with DoD cybersecurity standards and RMF requirements, identify vulnerabilities, and recommend remediation. The role also supports site-visit planning, stakeholder coordination, logistics, and closeout reporting.

Develops secure, isolated attack scenarios across cloud, on-premises, and hybrid environments. Reproduces vulnerabilities, builds multi-step attack chains, creates automated graders and reward signals, and validates outcomes using system state and telemetry. The role also develops attack variants and benign comparisons to evaluate AI security agents, partnering with threat researchers, AI engineers, and environment engineers.

Designs and maintains security controls for blockchain, digital asset, application, cloud, and infrastructure environments. Responsibilities include threat modeling, cryptographic key management, application and API security, AWS and Kubernetes hardening, vulnerability management, monitoring, incident response, penetration testing, and security governance. The engineer collaborates with Cybersecurity, Engineering, DevOps, and Infrastructure teams to secure distributed systems and support regulatory requirements.

The Information Systems Security Engineer will secure a USPS information system modernization project by implementing federal security controls, conducting vulnerability assessments and penetration testing, integrating security into CI/CD pipelines, maintaining SSP, RMP, and POA&M documentation, monitoring cloud security tools, supporting incident response, and delivering security training. The role requires collaboration with development, operations, and federal security stakeholders while ensuring compliance with FISMA, NIST RMF, and FedRAMP standards.

Build and integrate automated security tools into CI/CD pipelines, secure Terraform infrastructure, lead vulnerability remediation, perform threat modeling and architecture reviews, support SOC 2 and ISO 27001 audits, and resolve complex production security issues. The role secures distributed microservices on GCP through engineering automation and cross-functional collaboration with DevOps and product teams.

Designs and governs enterprise security architectures across applications, infrastructure, networks, endpoints, cloud environments, and sensitive data. Translates mission, business, regulatory, and federal requirements into secure designs; conducts architecture reviews and threat modeling; defines security standards and controls; guides DevSecOps, cloud, infrastructure, and application teams; and supports security technology selection and integration. The role requires extensive enterprise or federal security architecture experience, relevant certifications, U.S. citizenship, and the ability to obtain Public Trust clearance.

Secure Windows products and devices through offensive security research, code and design reviews, penetration testing, vulnerability discovery, fuzzing, and mitigation development. Build reusable security review tools, identify vulnerabilities in operating system features and native applications, collaborate with Windows engineering teams on durable defenses, engage security researchers, and communicate the business value of security investments.

Provides technical pre-sales leadership for data security solutions, including demos, proofs of concept, architecture workshops, and secure cloud or hybrid deployments. Advises customers on data security posture, Microsoft Purview, AI application security, and scalable architectures. Builds developer and platform-lead relationships, resolves technical blockers, develops technical win strategies, and collaborates with product engineering. Represents Microsoft in customer and developer communities.

Serves as a security subject matter expert supporting sales teams and customers. The role assesses security environments, facilitates incident response and investigations, demonstrates Varonis capabilities, supports threat detection evaluations, develops technical enablement materials, communicates product updates, and gathers customer feedback for product improvement. Strong expertise in cloud and self-hosted network security, Microsoft security ecosystems, identity management, SIEM, SOAR, and threat detection is required.

Leads the design and implementation of security solutions for AI systems across data ingestion, model training, deployment, and runtime. Develops controls against prompt injection, data poisoning, model inversion, data leakage, and unauthorized access. Secures cloud infrastructure, APIs, identities, integrations, and third-party AI platforms; implements monitoring, automated security testing, and incident response. Partners with architecture, engineering, and governance teams to ensure resilient, compliant AI security practices.

Part-time remote cybersecurity internship supporting presales, client engagement, technical writing, labs, certifications, and vendor solution research. Interns shadow consultants, build networking and security skills, practice explaining technical concepts, and gain exposure to SIEM, vulnerability scanning, endpoint security, cloud, and CTF platforms. The role requires foundational cybersecurity knowledge, self-directed learning, communication skills, and availability for 20–29 hours weekly during Central Time business hours. It may lead to full-time employment near Tulsa, Oklahoma.

Executes end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational environments. Develops offensive tooling, implants, and evasion tradecraft; operates and improves AI-driven security agents; discovers and exploits vulnerabilities; and communicates findings to customers and internal security teams. The role also contributes to operational playbooks, product hardening, detection improvements, and scalable offensive security practices.

Leads regional enterprise security sales by serving as a cloud security expert, shaping opportunities, advising account teams, managing executive relationships, and orchestrating technical teams and partners. Conducts architecture reviews, demos, proof-of-concepts, pilots, ROI/TCO analyses, and consultative engagements to promote Microsoft security solutions, Zero Trust adoption, and customer business outcomes.

Analyze, debug, and secure diverse codebases; implement features; refactor legacy software; conduct audits and penetration tests; optimize backend performance; and document findings to improve AI training datasets.

Sets the technical vision for enterprise security across cloud, identity, application, data, endpoint, and network environments. Leads security architecture, threat modeling, DevSecOps, incident response, compliance evidence, security roadmap planning, and AI security initiatives. Advises executives and cross-functional stakeholders, handles high-severity escalations, mentors security engineers, and strengthens healthcare security controls for AWS, Azure, FHIR, Medplum, Snowflake, HITRUST, HIPAA, and NIST requirements.

Lead product, cloud, application, infrastructure, and internal security across Hipp’s healthcare SaaS platform. Responsibilities include architecture reviews, threat modeling, vulnerability management, cloud and identity security, monitoring, incident response, AI-agent security, compliance controls, vendor risk, customer security reviews, and security mentorship.

Build ngrok’s foundational security engineering program, including security tooling, CI/CD guardrails, secrets scanning, vulnerability tracking, cloud security, risk assessments, AI security policies, detection capabilities, and incident response. Partner with engineering and leadership to establish security controls, automation, metrics, and reusable internal security platforms.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Responsibilities include Kubernetes runtime isolation, identity and credential security, service mesh trust, Terraform infrastructure, fleet scaling, CI/CD, observability, auditability, human approval workflows, and governed agent integrations. The role also sets technical direction, mentors engineers, and partners across Product, Security, and Leadership to deliver secure, reliable distributed systems at scale.

Own and improve security across cloud infrastructure, AI platforms, corporate IT, endpoints, identity, email, and business applications. Build detection and response capabilities, secure containers and software supply chains, implement identity and access controls, manage vulnerabilities and secrets, and automate security guardrails. Investigate threats across cloud, identity, and endpoint telemetry while protecting sensitive customer data and supporting compliance controls.

Build and operate enterprise AI infrastructure for security teams, including model gateways, agent workflows, retrieval systems, evaluation, observability, and security guardrails. Drive adoption across detection, incident response, threat intelligence, vulnerability management, GRC, and security engineering. Develop production AI applications, establish governance and standards, measure impact, teach teams, and lead technical change through influence as a senior individual contributor.

Design and implement security across infrastructure, applications, data, and AI systems. Own authentication, authorization, tenant isolation, secure log ingestion and querying, and AI security risk mitigation. Lead security incident response and postmortems, establish practical security practices, and partner with engineering to integrate security into development. The role requires application or infrastructure security experience, knowledge of OWASP vulnerabilities, and experience securing distributed systems and APIs.