Top Cyber Security Jobs in Rochester, NY

Lead cloud security strategy and hands-on execution across AWS environments. Own CNAPP and CSPM capabilities, improve IAM and container security, build infrastructure-as-code guardrails, conduct architecture reviews and threat modeling, support detection and incident response, and drive remediation programs. Establish a multi-year cloud security roadmap, influence engineering priorities, mentor teammates, and partner with platform, infrastructure, SOC, and product engineering teams.

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.

Leads the Network Security Engineering and Operations team, overseeing enterprise network security infrastructure, availability, lifecycle management, monitoring, incident response, compliance, risk mitigation, and 24/7 escalation support. Manages engineers, vendors, budgets, strategic projects, and cross-functional initiatives while communicating cybersecurity risks to technical and executive audiences. Drives automation, resilience, continuous improvement, and preventative security practices across sites, datacenters, and cloud environments.

Manage a global 24/7 Security Operations Center, including analyst leadership, shift coverage, operational processes, quality assurance, training, and career development. Improve workflows, playbooks, and service-level performance while collaborating with Product, Support, Tactical Response, Threat Hunting, and Detection Engineering teams. Lead initiatives, track security operations objectives, operationalize new services, and communicate technical concepts to internal stakeholders and external audiences.

Designs, implements, and governs secure AWS, Azure, and GCP cloud architectures across IaaS, PaaS, and SaaS environments. Defines security standards, IAM strategies, network controls, and guardrails; leads cloud security reviews, threat modeling, and risk assessments; integrates security into DevOps and CI/CD workflows; evaluates security tooling; supports compliance; and mentors engineering teams. The role also drives cloud security posture improvements, documentation, remediation, and long-term security architecture maturity.

Summer Associate supporting governance, risk, and compliance functions within a community bank. Responsibilities may include regulatory testing, risk assessments, BSA/AML transaction monitoring, fraud detection, internal audit testing, information security, compliance reporting, and third-party risk reviews. The role is a hybrid, 40-hour-per-week summer internship involving collaboration with risk management professionals and occasional travel between Buffalo and Rochester.

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.

The Security Operations Engineer will build and manage cloud and enterprise security detections, lead incident response and threat hunting, automate security operations with SOAR playbooks, and maintain security telemetry pipelines. The role also involves vulnerability remediation, cloud architecture security reviews, cross-functional collaboration, on-call participation, and continuous improvement of runbooks and alert quality. Candidates need strong AWS security, SIEM, incident response, detection engineering, scripting, attacker tradecraft, and compliance framework experience.

Lead Apollo’s application security strategy across engineering, product, platform, data, and AI teams. Responsibilities include security architecture reviews, threat modeling, secure code review, penetration testing, exploit development, vulnerability management, secure-by-default building blocks, AI security standards, automation, and mentoring security engineers and champions. The role requires solving ambiguous, high-scale AppSec problems, influencing cross-functional roadmaps, and delivering measurable reductions in security risk.

The Senior Application Security Engineer will strengthen Apollo’s secure software development lifecycle through application security reviews, threat modeling, code analysis, vulnerability management, penetration testing, remediation, and AppSec tooling. The role includes developing automation, securing AI-powered features, improving security observability, enabling developers, and partnering across Engineering, Product, Platform, Data, Legal, and Security teams. This senior individual contributor will own long-term AppSec goals, resolve ambiguous risks, and drive cross-functional security improvements.

Serve as a hands-on technical security leader addressing complex product, infrastructure, architecture, and risk challenges. Evaluate security across compute, network, and storage; influence cross-functional decisions; lead M&A diligence and partner risk assessments; mentor senior individual contributors; and build a technical security community across product, enterprise, and security operations.

Own Cleo’s application and product security program across SaaS and customer-hosted products. Lead SSDLC practices, threat modeling, security tooling, vulnerability management, penetration testing, coordinated disclosure, CVE publication, and NIST CSF controls. Define product security standards, roadmap, secure defaults, access controls, and customer-facing advisories. Partner with engineering, product, architecture, and customers while guiding security engineers and consultants. Also establish protections for LLM applications, AI agents, and AI-assisted development workflows.

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.

Monitor, triage, investigate, and respond to cybersecurity alerts and intrusions. Analyze EDR telemetry, logs, forensic artifacts, malware, and Microsoft 365 activity; determine root causes and recommend remediation. Support threat-related escalations, contribute to detection engineering and tuning, and collaborate across teams. The role requires familiarity with endpoint attack surfaces, threat actor techniques, Windows and domain administration, networking, web security, and basic malware analysis.

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.

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.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Represent security compliance with customers, map frameworks to Zscaler capabilities, create reusable playbooks, educate sales teams, and complete security questionnaires and assessments. Translate technical security and data-protection concepts into business and sales messaging while supporting frameworks including NIST, ISO 27001, DORA, GDPR, PCI, and HIPAA. The role requires customer-facing credibility, compliance expertise, security architecture knowledge, and the ability to leverage AI-driven workflows.

Monitor and investigate security alerts, logs, threats, vulnerabilities, and incidents. Conduct vulnerability assessments, support penetration testing and cloud security reviews, assist with incident response, recommend remediation, and prepare technical and executive reports. Collaborate with security consultants, engineers, red teamers, and client IT teams while supporting compliance, hardening, patch management, and security monitoring across cloud and enterprise environments.

Build and automate security infrastructure across AWS and Kubernetes, including cryptographic material lifecycle, telemetry pipelines, policy-as-code, compliance monitoring, and incident-response tooling. Develop agentic AI workflows using coding assistants, MCP integrations, and custom harnesses. Apply threat modeling and secure architecture review while partnering with engineering, risk, auditors, vendors, and clients. The role emphasizes production software, cloud-native automation, continuous control monitoring, and eliminating manual security toil.

Build and operate a reliable security platform across hundreds of AWS environments. Responsibilities include security telemetry and OpenSearch infrastructure, GitOps deployments, Kubernetes and AWS security controls, cross-account and multi-region architecture, Python automation, and agentic AI workflows. The role participates in on-call support, security incident enablement, audit evidence automation, and reliability improvements while collaborating with Security Operations, Risk, and SRE teams.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Senior individual contributor who researches and delivers thought leadership on application security for enterprise applications (ERP/CRM). Produces insights, advises CIOs, supports sales and events, mentors junior analysts, and builds security strategies, roadmaps, metrics, and vulnerability testing programs for major vendors and third-party tools.

Build backend services, data pipelines, detection features, and AI agents for email security. Integrate machine learning and large language models into investigation workflows, evaluate attack detection accuracy, improve reliability and performance, and own features from design through production release. Collaborate with ML engineers, data scientists, and software engineers while contributing tested code, technical designs, and code reviews.