Top Security Engineer Jobs

The role involves managing cloud and infrastructure vulnerability management, securing environments, incident response, and compliance tracking. You will also collaborate with various teams to optimize security posture and automate scanning processes.

Supports Cisco security consulting projects under mentorship. Responsibilities include attending design and configuration sessions, gathering customer requirements, defining integration goals, analyzing security policies and configurations, and recommending improvements. The intern will learn to design policies for identity services, firewalls, visibility, and cloud solutions, while developing customer automation capabilities using Java, Python, C++, Ansible, Chef, Terraform, and Cisco APIs.

Own the organization’s infrastructure and application security posture across Azure, AKS, on-premises systems, and client applications. Lead vulnerability management, penetration testing, IAM hardening, container and CI/CD security, incident response, compliance readiness for SOC 2 and GDPR, client security requirements, and audit coordination. Develop runbooks, detection logic, remediation plans, and leadership metrics while partnering with engineering, DevOps, offshore teams, auditors, vendors, and clients.

Owns security operations and compliance for a multi-tenant GPUaaS platform. Maintains SOC 2 and SOC 3 programs, coordinates audits and penetration tests, manages IAM and security tooling, leads vulnerability management and incident response, supports customer security reviews and contracts, maintains policies, and drives security awareness and phishing programs.

Secure and optimize enterprise network infrastructure through firewall lifecycle management, GlobalProtect VPN support, vulnerability remediation, incident response, monitoring, troubleshooting, and automation. Develop Ansible and Python workflows for threat defense, data collection, investigation, threat hunting, and user access management. The role also designs, configures, maintains, and monitors cybersecurity capabilities and supports onsite testing and deployments.

Reviews estimates, designs, submittals, installation practices, testing procedures, and project documentation for technical accuracy and compliance. Conducts peer reviews, onsite quality inspections, installation audits, commissioning support, and system validation. Tracks deficiencies, recommends corrective actions, supports technical training, and improves engineering and installation standards. Collaborates with engineering, operations, project management, field teams, leadership, and customers while ensuring compliance with codes, contracts, safety policies, and government requirements.

Design and build AI-powered cybersecurity platforms that ingest and normalize massive security telemetry, correlate events, predict threats, and generate explainable findings. Develop Python backend services, distributed storage systems, and AIDevOps pipelines for rapid experimentation. Integrate foundation models, agentic systems, RAG, embeddings, and graph-based models into analyst workflows. Collaborate with product teams, security experts, and engineers to deliver scalable, trusted threat detection and automation capabilities.

Design and build AI-native cybersecurity platforms that analyze large-scale security telemetry, correlate events, predict threats, and generate explainable alerts. Develop scalable distributed systems, data pipelines, AI DevOps workflows, agentic systems, RAG and embedding solutions, and model integrations. Collaborate with security researchers, SMEs, product managers, and engineering teams to create trusted automation and analyst-focused threat detection, investigation, and response capabilities.

Design and build AI-powered cybersecurity platforms that process large-scale telemetry, detect and predict threats, and generate explainable alerts. Develop scalable Python services, distributed data systems, AI DevOps pipelines, agentic workflows, RAG capabilities, and model integrations. Collaborate with security experts, product managers, and engineers to validate AI features and improve analyst workflows for security operations.

As a Senior Security Software Engineer, you'll design and deliver secure integration services, mentor developers, and enhance cybersecurity through automated, AI-driven workflows.

Lead architecture, design, and modernization of MetLife mainframe platforms. Provide technical leadership for z/OS performance, security (RACF), resilience and BCP automation, partner with stakeholders, tune systems using SMF/RMF telemetry, and drive cross-functional modernization and migration initiatives.

Own security for cloud and ML infrastructure, including tenant isolation, GPU cluster security, model protection, vulnerability management, network segmentation, monitoring, access governance, and credential management. Lead infrastructure security projects and establish technical standards and guardrails in partnership with Security, DevOps, Engineering, IT, and ML teams. The role also supports incident response, CSPM, sandboxing, container isolation, and SOC 2 readiness.

Design, implement, and harden enterprise security controls across endpoints, identity, networks, and data. Configure security platforms, develop Python and Go automation, maintain macOS, Linux, and Windows security baselines, support network security and vulnerability management, and contribute to SIEM detection pipelines. The role partners with IT and Engineering, delivers scoped security projects, and participates in an on-call rotation.

Operate and improve an AI-powered vulnerability operations platform. Monitor scanning fleets and worker queues, investigate failures, build Python/FastAPI and React/TypeScript features, manage PostgreSQL data, reconcile findings with SQL, and operate Kubernetes/OpenShift GitOps deployments. Improve asset inventory, ownership attribution, scan coverage, data quality, and vulnerability lifecycle logic. Collaborate with senior engineers on LLM-based security scanning and verification tools while supporting security engineers and repository owners.

Lead a team building proactive cloud security for a multi-cloud environment (AWS, GCP, Azure). Design and deliver full-stack, distributed microservices, evaluate infrastructure-as-code in real time (CloudFormation, Terraform/OpenTofu, Gears), mentor engineers, collaborate with product managers, and leverage languages and tools like JavaScript, Python, Go, Docker, Kubernetes, and Snowflake to prevent non-compliant resources at scale.

Supports systems and infrastructure security engineering, including architecture, automation, requirements analysis, maintenance, coding, capacity management, issue resolution, and configuration management. Assists with secure cloud infrastructure, virtual machines, backups, patching, CI/CD, telemetry, risk and compliance reviews, and translating high-level designs into detailed component designs. Collaborates with stakeholders, follows security standards, resolves low-complexity issues, and contributes to continuous improvement.

Design, configure, and tune DLP controls across email, print, web, removable media and data-at-rest. Analyze DLP events, implement preventative controls, create dashboards and reports, integrate continuous security event ingestion with Splunk, and perform insider risk data mapping and remediation across cloud and network storage.

Own the organization’s application security posture, partnering with engineering and IT on secure coding, vulnerability management, penetration testing, security architecture, and remediation. Support audits, risk assessments, SOC 2 compliance, incident and breach investigations, bug bounty programs, and employee security training. The role is fully remote but requires a final in-person interview with company-paid travel.

Lead architecture, definition, and deployment of trusted infrastructure and hardware security platforms for hyperscale cloud. Define chip and platform requirements, drive hardware/firmware/software integration, lead design reviews and tradeoffs, partner with security architects, develop validation and deployment strategies, build tooling/automation/telemetry, resolve integration risks, and mentor engineering teams.

Supports deployment, operation, automation, integration, and sustainment of cybersecurity platforms in a secure Department of Defense environment. Maintains Linux applications, containers, virtual machines, and network forensics tools; develops Python automation; integrates threat intelligence; performs threat hunting and incident response; and supports cloud API integration, security analytics, event correlation, monitoring, troubleshooting, and system maintenance.

Leads enterprise security automation and engineering initiatives, including SOAR, ServiceNow integrations, IAM/PAM, vulnerability management, cloud security, security data pipelines, and incident response. Researches, evaluates, tests, and deploys security strategies; develops policies for networks, applications, hardware, and systems; and strengthens threat detection, response, and prevention. Partners across the healthcare enterprise to improve cybersecurity resilience and reduce risk.

Designs, implements, and operates security controls across OCI, Oracle Cloud Applications, and hybrid Oracle environments. Responsibilities include identity and access management, key and secrets management, workload hardening, Cloud Guard monitoring, logging and SIEM integration, data security, vulnerability management, compliance, threat modeling, incident response, and security automation using Python and Terraform. The role also maintains technical documentation and mentors application and infrastructure teams.

Secure Temporal’s multi-cloud platform across AWS, GCP, and Azure by embedding security into infrastructure and application architecture. Responsibilities include threat modeling, risk assessment, Kubernetes hardening, multi-tenant isolation, gRPC and mTLS security, service mesh configuration, cloud security posture management with Wiz, secrets management, encryption, compliance policy development, engineering partnership, and on-call participation. The role also contributes to responsible AI practices and security for distributed workflow systems.

Secure Temporal’s development pipeline, product, and customer execution environments. Partner with engineering teams on secure architecture, threat modeling, risk assessments, code and software supply-chain security, vulnerability triage, Kubernetes hardening, multi-tenant isolation, and responsible AI security. Participate in on-call rotations and help establish actionable security policies and practices across the organization.

Designs, implements, and supports enterprise cloud security systems and technologies. Troubleshoots complex production security issues, develops cloud data auditing methodologies, manages deployments and change controls, and performs systems analysis. Provides production support, documentation, technical guidance, and mentorship while partnering with clients to address business needs. Requires strong software, platform engineering, DevOps, cloud, authentication, incident response, and distributed-systems expertise.