Top Cyber Security Jobs in Boston, MA

Designs and implements secure AWS infrastructure, integrating development, operations, and security practices. Automates infrastructure with CloudFormation and Terraform, conducts vulnerability assessments, implements security controls, manages incident remediation, and supports CI/CD through Jenkins and GitLab. The role also uses Python, CrowdStrike, and Palo Alto Networks while collaborating with clients and technical teams to improve cybersecurity, reliability, and infrastructure performance.

Designs, builds, and improves security detections across cloud, identity, endpoint, network, and application environments. The role develops Detection-as-Code capabilities, maps threats to MITRE ATT&CK, tunes alerts, reduces false positives, supports incident investigations, and automates triage. It also tracks detection performance, contributes to on-call operations, partners with engineering and infrastructure teams, and applies threat intelligence, data analysis, and machine learning to strengthen detection fidelity.

Leads technical pre-sales architecture for complex security solutions serving public-sector and commercial customers. Translates business, security, compliance, and technical requirements into solution designs, bills of materials, statements of work, estimates, pricing, assessments, and deployment plans. Conducts discovery sessions, architecture workshops, solution reviews, and customer presentations while partnering with sales, delivery teams, and security vendors. Mentors architects and sellers, supports regional customer activity, and travels throughout the Southeast as needed.

Architect and build production AI security systems spanning endpoint sensors and cloud-scale infrastructure. Lead autonomous cyber defense capabilities, including detection, threat hunting, response, adversary simulation, secure agent execution, and model evaluation. Establish technical direction, benchmarks, and safety practices while mentoring senior engineers and researchers. Carry frontier AI research into the Falcon platform and represent the company through publications, open source, standards, and industry collaboration.

Secure CrowdStrike’s software supply chain and code-hosting environments by assessing GitHub organizations, open-source integrations, repositories, dependencies, and third-party packages. Implement repository guardrails, secret scanning, access controls, and automation; investigate supply-chain threats such as typosquatting and dependency confusion; promote secure coding and open-source compliance; and collaborate with engineering teams on security initiatives.

Leads enterprise network security architecture, engineering, and modernization across cloud and on-premises environments. Designs firewalls, WAF, DDoS protection, Azure connectivity, microsegmentation, Zero Trust, SASE, and SD-WAN solutions. Serves as a Level 3 incident escalation point, drives root-cause analysis and resilience improvements, establishes automation and DevSecOps standards, and mentors engineers. Partners with stakeholders and vendors to deliver secure, scalable network security platforms.

Serves as the senior technical authority for enterprise browser data protection and security. Owns architecture, roadmap, standards, lifecycle, browser-based DLP controls, integrations, automation, and operational support. Leads complex troubleshooting, major incident response, root-cause analysis, runbook development, and continuous improvement. Partners across cybersecurity, identity, endpoint, network, cloud, risk, compliance, and vendor teams while mentoring engineers and influencing enterprise security design.

Build and operate secure AI platforms, agent workflows, and reusable automation patterns. Embed security into SDLC and PDLC through threat modeling, scanning, secrets detection, supply-chain controls, and automated reviews. Develop AWS identity, network, access, and infrastructure guardrails, including zero-trust and privileged-access automation. Own production services, monitoring, incident response, and on-call support while partnering with teams across the company to enable secure self-service workflows.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Secures Snyk’s GCP and AWS cloud platforms through threat modeling, IAM hardening, Kubernetes and container security, Terraform and pipeline fixes, CSPM integration, and secure configuration baselines. Uses AI coding agents and MCP integrations to scale infrastructure remediation while reviewing changes for unsafe defaults, excessive permissions, and agent-related risks. Works consultatively with platform teams to implement and measure security improvements.

Owns enterprise AI security assessment, architecture, and control programs. The role evaluates AI systems, vendors, platforms, and shadow AI; designs secure architectures, guardrails, identity models, sandboxes, gateways, and runtime controls; and develops detection and response capabilities for prompt injection, jailbreaks, data leakage, and tool misuse. The engineer partners with governance, identity, platform, engineering, and security operations teams, advises senior leaders, drives remediation, and mentors security professionals.

Leads security solution strategy and technical engagements for global enterprise customers. Advises technical decision-makers, drives secure cloud adoption, designs architectures, leads demonstrations and proof-of-concepts, coaches technical sellers, and develops solution roadmaps. Partners with account teams, product and engineering groups, and external partners to deliver integrated Microsoft security solutions across cloud, hybrid, and on-premises environments.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Assesses and mitigates security risks across applications, systems, networks, and cloud infrastructure. Conducts security assessments, identifies vulnerabilities and compromises, deploys mitigating controls, performs compliance investigations, and develops security guidance, policies, scripts, and tools. The role requires collaboration with IT, engineering, and business units, with emphasis on NIST frameworks, adversarial techniques, malware, intrusion management, FedRAMP, and CMMC environments.

Owns the security posture and architecture of Akamai’s globally distributed AI inference platform. Leads threat modeling, security standards, design reviews, cloud-native and application security, multi-tenant isolation, compliance readiness, incident response, and defenses against AI-specific threats such as prompt injection, model extraction, data poisoning, and adversarial attacks.

Owns security engineering for AI and ML infrastructure, including training and inference pipelines, model registries, MCP servers, and agent runtimes. Designs security controls, conducts threat modeling and adversarial assessments, maintains compliance, and drives vulnerability remediation. Partners with AI Platform, Research, ML Operations, Science, and AI Safety teams to embed security across data, models, pipelines, and agentic systems.

Lead penetration testing, adversary emulation, assume-breach, and AI red-teaming engagements. Identify exploitable weaknesses, validate security controls and detection capabilities, and provide prioritized remediation guidance. Conduct testing across networks, applications, APIs, cloud, and infrastructure while mapping activity to threat frameworks. Communicate findings to technical and executive audiences, advise clients, develop methodologies and tooling, automate testing, and mentor junior team members.

Serves as a senior technical authority for Splunk security solutions across the Americas Service Provider market. Advises CISOs and technical leaders, designs SIEM and security operations architectures, leads complex technical sales engagements, supports competitive displacement, mentors field teams, and provides customer and market insights to product and engineering organizations.

Secure Runpod’s multitenant GPU cloud infrastructure across bare-metal and virtualized environments. Responsibilities include designing workload and network isolation, hardening Linux kernels and container platforms, testing hypervisor and hardware security, developing low-level controls in C, Go, or Rust, securing GPU and PCIe interactions, and responding to infrastructure security incidents with forensic capabilities for ephemeral containers.

Leads product security strategy and engineering execution across embedded, IoT, cloud, mobile, and digital products. Establishes security governance, secure development lifecycle practices, vulnerability management, incident response, compliance processes, threat modeling, security testing, and DevSecOps controls. Partners with enterprise cybersecurity, engineering, regulatory, quality, and legal teams to operationalize security requirements, improve remediation, manage risks, and strengthen security-by-design across the global product lifecycle.

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.

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.

Designs and advances security architecture for Microsoft’s enterprise productivity environment. The role assesses evolving risk, analyzes systems and telemetry, develops reusable security patterns and tooling, partners with engineering teams on deployment, communicates risk and tradeoffs, and establishes priorities and roadmaps amid incomplete information.

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.