Top Remote Security Engineer Jobs in Boston, MA

Lead and evolve the insider threat program by engineering detection, automating investigation workflows, tuning UEBA/SIEM/DLP/UAM/SOAR detection content, conducting threat hunting and DFIR, collaborating with HR/Legal, and using data analytics (e.g., Pandas) to investigate anomalous activity and reduce internal risk.

Operate application security across the SDLC, including secure design, code reviews, threat modeling, API security, DevSecOps tooling, CI/CD security gates, cloud and container security, vulnerability management, and risk communication. Partner with engineering teams on secure coding standards, AWS, Kubernetes, Terraform, mobile ecosystems, and responsible AI integration. Participate in an on-call rotation and develop scalable security platforms, paved roads, documentation, and developer training.

Lead insider risk detection engineering and investigations using EDR/XDR, UEBA, SIEM, and SOAR tools. Refine detection rules, reduce alert noise, close coverage gaps, manage investigations, develop playbooks, document evidence, mentor analysts, and collaborate discreetly with HR, Legal, business leaders, and executives. The role also requires investigative workflow automation using Python or JavaScript and ownership of scalable security processes.

Lead security architecture and design reviews, define standards for protecting sensitive healthcare data, build automated defenses, guide security monitoring and incident response, translate complex objectives into engineering requirements, and mentor engineers through code and design reviews.

Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.

Protect corporate data through DLP implementation, tuning, alert review, false-positive reduction, and control optimization across web, endpoint, email, cloud, and SaaS environments. The engineer will review data protection programs, improve monitoring and blocking controls, collaborate with business partners, and use automation and emerging AI tools to strengthen security operations.

Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.

Owns infrastructure security across AWS, Azure, and GCP cloud environments. Defines security standards, IAM policies, secrets management, guardrails, and infrastructure-as-code controls. Conducts threat modeling, vulnerability assessments, and penetration testing; monitors alerts and leads incident response. Drives SOC 2 and ISO 27001 compliance, audit readiness, and AI-assisted threat detection. Partners with platform, engineering, operations, legal, and business stakeholders to remediate risks and strengthen cloud security.

Partners with engineering teams to identify and remediate product security risks across the software development lifecycle. Responsibilities include threat modeling, secure architecture and coding guidance, security testing, vulnerability prioritization, penetration testing coordination, bug bounty remediation, application monitoring, developer training, and secure deployment practices. The role also advances AI-assisted security tooling, DevSecOps practices, security champions, Kubernetes and container security, and scalable risk-based remediation frameworks.

Own and improve vulnerability management across cloud, on-premises, network, and endpoint environments. Responsibilities include scanning, triage, risk-based prioritization, remediation coordination, SLA tracking, exception management, closure validation, asset reconciliation, reporting, incident support, on-call participation, and audit documentation. The role partners with Engineering, SRE, IT, and Infrastructure teams and uses security tooling and AI-assisted workflows to reduce exposure and recurring vulnerabilities.

Lead infrastructure security for GitLab’s FedRAMP and federal cloud environments. Set technical direction, architecture, security automation, and compliance patterns; own security posture; lead threat modeling, security reviews, continuous monitoring, and authorization-impacting initiatives. Partner with SRE, engineering, compliance, and leadership to drive remediation and roadmap decisions. Apply AI to constrained security workflows, mentor engineers, and influence security practices across GitLab offerings.

Lead DigitalOcean’s AI security strategy, governance framework, and multi-year roadmap. Secure AI/ML systems across data ingestion, training, model serving, RAG, agents, and monitoring. Conduct AI red teaming, threat modeling, security reviews, and adversarial testing, while building defensive tooling and guardrails. Advise executives and the board on AI risk, guide engineering teams, and define organizational policies for responsible AI security.

Partner with sales teams to win strategic data security opportunities. Present technical solutions, gather customer requirements, lead product evaluations, configure solutions, and design evaluation test plans. The role requires extensive pre-sales experience, security and networking expertise, data protection and web technology knowledge, and collaboration across matrixed go-to-market and partner teams.

The Senior Security Engineer will secure networks, systems, applications, databases, and cloud infrastructure; embed security controls into build pipelines; manage vulnerabilities and remediation; respond to incidents through on-call rotation; and promote security awareness across engineering. The role requires cloud security, infrastructure-as-code, application security, REST API protection, IAM, and tools including AWS, Kubernetes, Terraform, Wiz, Exaforce, and CrowdStrike.

Lead product cybersecurity for connected heart-recovery medical devices across development and post-market lifecycles. Responsibilities include security architecture, threat modeling, risk assessments, cryptographic controls, secure boot, firmware protection, PKI, vulnerability management, penetration testing, SBOM analysis, secure OTA updates, regulatory submissions, and remediation planning. The role partners with R&D and cross-functional teams to implement secure development practices, embedded protections, cloud and device security, and compliance with medical-device cybersecurity standards.

Lead end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational environments. Develop offensive tooling, implants, and tradecraft; direct AI-driven autonomous agents; discover and exploit vulnerabilities; brief executive customers; provide defensive guidance; collaborate with threat intelligence and blue teams; establish operational standards; and mentor security operators.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, and communicate findings to technical, executive, legal, and compliance stakeholders. Build investigation scripts, runbooks, automated workflows, and security operations capabilities. Mentor engineers and support insider threat initiatives while collaborating across teams on cloud security and incident response.

Lead end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational security environments. Develop offensive tooling, implants, and AI-driven autonomous agents for reconnaissance, exploitation, and post-exploitation. Serve as a technical lead for customer engagements, brief security executives, collaborate with blue teams and threat intelligence organizations, establish operational standards, and mentor senior operators.

Lead corporate endpoint security architecture with a focus on macOS, designing secure-by-default controls, automation, patching, software distribution, and security baselines across macOS, iOS, Windows, and Linux. Manage configurations through Terraform, GitOps, version control, CI pipelines, and automated rollouts. Partner with IT and security teams to improve telemetry, detection, response, auditability, and operational efficiency. Mentor engineers and serve as a senior escalation point for complex endpoint security issues in a fully remote environment.

Design and implement AI-powered security agents and tooling across CI/CD, perform threat modeling and manual assessments, find and drive remediation of vulnerabilities, embed security into development workflows, connect telemetry to detection systems, and shape product security strategy and incident response.

Designs, implements, maintains, and supports security infrastructure, including firewalls, networks, cloud workloads, authentication, monitoring, threat hunting, vulnerability assessments, incident response, and security controls. The role maintains federal compliance, supports system hardening and access control, automates administration, contributes to cloud migration, documents technical processes, and participates in project and on-call support activities.

Hands-on Information Security Engineer responsible for SOC 2 Type 2 compliance, vulnerability management, Azure and endpoint security, security tooling, governance, customer security questionnaires, vendor risk, secure SDLC practices, incident response, and security awareness. The role partners across Engineering, IT, Legal, and Product to improve the company’s SaaS security posture.

Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.

Lead enterprise eDiscovery and insider-risk investigations by collecting, preserving, analyzing, and reviewing data from cloud infrastructure, endpoints, and repositories. Build AI-powered automation, correlate activity logs into investigative timelines, manage legal holds and governance policies, support digital forensics, and produce structured evidence packages for Security, Legal, HR, and investigative teams.

Secure federal health IT supply-chain and logistics software by designing and validating application and infrastructure controls, assessing vulnerabilities, driving remediation, embedding security checks into CI/CD pipelines, monitoring security tools, supporting incident response, and translating federal security requirements into implementable technical designs.