AppGate Cybersecurity, Inc.

Role Description We are looking for a Forward Deployed Engineer (FDE) to work directly with customers to design, implement, and operationalize technical solutions that solve high-impact business and security challenges. This role combines software engineering, systems integration, customer engagement, and solution architecture. As an FDE, you will operate at the intersection of engineering, product, and customer success. You will work closely with enterprise customers to understand their environments, deploy and customize solutions, integrate with complex infrastructures, and help shape product direction based on real-world feedback. This is a highly cross-functional role ideal for engineers who enjoy solving ambiguous problems, working directly with customers, and delivering measurable outcomes in fast-moving environments. Key Responsibilities - Customer-Facing Engineering - Partner directly with customers to understand technical requirements, workflows, and operational objectives. - Design and implement tailored technical solutions in customer environments. - Lead deployments, integrations, proof-of-concepts, and production rollouts. - Troubleshoot complex technical issues across infrastructure, networking, identity, APIs, and cloud platforms. - Translate customer challenges into scalable technical solutions. - Solution Development & Integration - Build scripts, automation, integrations, and lightweight applications to extend platform capabilities. - Develop APIs, connectors, and workflow automations. - Integrate with enterprise systems such as IAM, SIEM, endpoint management, cloud providers, and DevOps tooling. - Contribute reusable deployment patterns, templates, and tooling. - Cross-Functional Collaboration - Work closely with Product, Engineering, Sales Engineering, Customer Success, and Support teams. - Provide product feedback based on customer needs and field experience. - Influence roadmap priorities through direct customer insights. - Document implementation best practices and operational runbooks. - Technical Leadership - Serve as a trusted technical advisor to customers. - Lead technical workshops, architecture reviews, and onboarding sessions. - Mentor customers and internal teams on deployment best practices. - Drive operational excellence and long-term customer success. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. - 3+ years of experience in software engineering, solutions engineering, systems engineering, DevOps, or related technical roles. - Strong experience with APIs, scripting, and automation. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Strong understanding of networking, authentication, and enterprise infrastructure. - Experience troubleshooting distributed systems and production environments. - Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. - Strong problem-solving skills and ability to work independently in ambiguous environments. - Willingness to travel occasionally to customer sites if required. Preferred Qualifications - Experience working in customer-facing technical roles. - Experience with cybersecurity, zero trust, identity, or access management platforms. - Familiarity with Kubernetes, Docker, Terraform, or infrastructure-as-code. - Experience with Python, Go, JavaScript, or similar programming languages. - Knowledge of enterprise security architectures and compliance frameworks. - Experience working in fast-paced startup or high-growth environments. Technical Skills - Preferred experience in several of the following areas: - REST APIs and API integrations - Python, Bash, Go, or JavaScript - Linux administration - Networking protocols and troubleshooting - SSO, SAML, OAuth, OpenID Connect - Cloud infrastructure and automation - CI/CD pipelines - Kubernetes and container orchestration - Infrastructure-as-Code tools - Logging, monitoring, and observability platforms - Security and identity platforms Compensation 180K - 215K Company Description AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Role Description We are looking for a Forward Deployed Engineer (FDE) to work directly with customers to design, implement, and operationalize technical solutions that solve high-impact business and security challenges. This role combines software engineering, systems integration, customer engagement, and solution architecture. As an FDE, you will operate at the intersection of engineering, product, and customer success. You will work closely with enterprise customers to understand their environments, deploy and customize solutions, integrate with complex infrastructures, and help shape product direction based on real-world feedback. This is a highly cross-functional role ideal for engineers who enjoy solving ambiguous problems, working directly with customers, and delivering measurable outcomes in fast-moving environments. Key Responsibilities - Customer-Facing Engineering - Partner directly with customers to understand technical requirements, workflows, and operational objectives. - Design and implement tailored technical solutions in customer environments. - Lead deployments, integrations, proof-of-concepts, and production rollouts. - Troubleshoot complex technical issues across infrastructure, networking, identity, APIs, and cloud platforms. - Translate customer challenges into scalable technical solutions. - Solution Development & Integration - Build scripts, automation, integrations, and lightweight applications to extend platform capabilities. - Develop APIs, connectors, and workflow automations. - Integrate with enterprise systems such as IAM, SIEM, endpoint management, cloud providers, and DevOps tooling. - Contribute reusable deployment patterns, templates, and tooling. - Cross-Functional Collaboration - Work closely with Product, Engineering, Sales Engineering, Customer Success, and Support teams. - Provide product feedback based on customer needs and field experience. - Influence roadmap priorities through direct customer insights. - Document implementation best practices and operational runbooks. - Technical Leadership - Serve as a trusted technical advisor to customers. - Lead technical workshops, architecture reviews, and onboarding sessions. - Mentor customers and internal teams on deployment best practices. - Drive operational excellence and long-term customer success. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. - 3+ years of experience in software engineering, solutions engineering, systems engineering, DevOps, or related technical roles. - Strong experience with APIs, scripting, and automation. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Strong understanding of networking, authentication, and enterprise infrastructure. - Experience troubleshooting distributed systems and production environments. - Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. - Strong problem-solving skills and ability to work independently in ambiguous environments. - Willingness to travel occasionally to customer sites if required. Preferred Qualifications - Experience working in customer-facing technical roles. - Experience with cybersecurity, zero trust, identity, or access management platforms. - Familiarity with Kubernetes, Docker, Terraform, or infrastructure-as-code. - Experience with Python, Go, JavaScript, or similar programming languages. - Knowledge of enterprise security architectures and compliance frameworks. - Experience working in fast-paced startup or high-growth environments. Technical Skills - Preferred experience in several of the following areas: - REST APIs and API integrations - Python, Bash, Go, or JavaScript - Linux administration - Networking protocols and troubleshooting - SSO, SAML, OAuth, OpenID Connect - Cloud infrastructure and automation - CI/CD pipelines - Kubernetes and container orchestration - Infrastructure-as-Code tools - Logging, monitoring, and observability platforms - Security and identity platforms Compensation 160K Annually What Success Looks Like - Customers successfully deploy and operationalize solutions quickly. - Technical integrations are reliable, scalable, and maintainable. - Customer feedback directly improves product capabilities. - Complex implementation challenges are resolved efficiently. - Strong relationships are built with customer technical stakeholders. Why Join Us - Work on high-impact technical problems with enterprise customers. - Collaborate with product and engineering teams to influence platform direction. - Operate in a highly technical and customer-centric environment. - Gain exposure to modern cloud, security, and infrastructure technologies. - Be part of a fast-moving team focused on innovation and customer success. Company Description AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Role Description We're looking for a AI/ML Engineer (Senior/Staff/Principal) - Threat Detection who will design, build, and operationalize the detection algorithms, ML inference pipelines, and risk aggregation systems that power our autonomous threat detection platform. You'll work at the intersection of identity security, behavioral analytics, and applied machine learning — building production systems that analyze ZTNA audit logs in near real-time, surface high-fidelity threat signals, and feed into our Risk Sentinel enforcement engine to continuously harden access decisions. Key Responsibilities - Your engineering work will directly enable next-generation capabilities, including: - Threat Detection Engine: Rule-based, behavioral, and ML-based detections across identity, access, network, and session domains — including brute force, privilege escalation, impossible travel, data exfiltration, and off-hours activity. - ML Anomaly Detection: Production models using Isolation Forest, One-Class SVM, and Autoencoder neural networks to surface behavioral outliers that rules miss. - Risk Aggregation & Enforcement: Normalize and weight detection signals into user and device risk scores; integrate with the AppGate Risk Sentinel engine to drive continuous access decisions. - Real-Time Detection Pipeline: Near real-time streaming architecture ingesting ZTNA audit logs, with stateless detection outputs feeding incrementally updated risk scores. - AI Agent Security: Detect drift, unexpected resource escalation, and signs of compromise or misconfiguration in autonomous AI agents operating within the ZTNA environment. - Autonomous Remediation (Roadmap): Build the enforcement feedback loop enabling the Risk Sentinel to auto-remediate high-confidence threats and support AI-assisted investigation. - Design and implement detection algorithms spanning authentication, authorization, network/location, data access, session management, and temporal behavioral domains. - Train, evaluate, and deploy ML models on real-world identity and network telemetry; tune for production precision and recall targets. - Architect and operate the detection pipeline — from audit log ingestion through risk aggregation and Risk Sentinel integration. - Define the detection taxonomy — categorizing, prioritizing, and lifecycle-managing the full detection library using a scalable detection family model. - Instrument and improve signal quality — measuring MTTD, false positive rates, and MITRE ATT&CK coverage; partnering with red teams to validate detections against real attack scenarios. - Collaborate cross-functionally with security, product, and platform engineering to align detection coverage with customer threat models and roadmap priorities. Qualifications - 7+ years of production AI/ML engineering experience, with a strong preference for candidates who have built threat detection, UEBA, ITDR, or identity security platforms at leading security or cloud companies. - Detection algorithm expertise: Hands-on experience designing detections for identity-based threats — credential compromise, privilege escalation, insider activity, behavioral anomalies, and data exfiltration. - ML proficiency: Anomaly detection (Isolation Forest, One-Class SVM, Autoencoders), statistical methods, and supervised classification using PyTorch or TensorFlow. - Data & streaming engineering: Real-time or near-real-time pipeline experience (Kafka, Flink, Spark Streaming, or equivalent); familiarity with lakehouse formats (Apache Iceberg, Parquet). - Security domain knowledge: MITRE ATT&CK, identity threat kill chains, ZTNA or network access control systems, and audit log analysis. - Bonus: Experience with detection-as-code frameworks (Sigma, YARA), ZTNA platforms, LLMs or GNNs applied to security, or publications at USENIX, CCS, NeurIPS, or ICML. - Mindset: Mission-driven, production-focused, signal-obsessed. You measure precision and recall, you eliminate alert fatigue, and you care that your work protects real systems. Company Description AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution. AppGate is the only direct-routed ZTNA solution built for peak performance, superior protection and seamless interoperability. AppGate safeguards Fortune 500 enterprises worldwide. Learn more at appgate.com.

Role Description We’re looking for an Observability Engineer (Senior/Staff/Principal level) who has shipped distributed tracing systems, designed high-cardinality pipelines, and knows OpenTelemetry inside and out. You will own the end-to-end design and implementation of the AppGate observability fabric — from telemetry SDKs in our clients and gateways, to the LogForwarder pipeline, to customer-side integrations. You’ll make the foundational technical decisions — transport protocols, sampling strategies, schema design, correlation models — that determine whether our platform scales gracefully to hundreds of millions of events per day. This is a builder’s role with a strategist’s reach. Key Responsibilities - OpenTelemetry-Native Telemetry Fabric: Logs and distributed traces from clients, controllers, gateways, and connectors — all correlated by session, user, device, and trace ID across the full ZTNA flow. - High-Cardinality Data Pipeline: An OTLP-based ingestion and routing layer engineered for 100M+ events per day, with attribute filtering, redaction, and tail-sampling. - End-to-End Distributed Tracing: Span hierarchies decomposing login and session establishment across posture checks, policy decisions, TLS handshakes, and entitlement resolution — turning hours of triage into seconds. - On-Demand Packet Capture: Admin-triggered PCAP coordinated across client and gateway, with the workflow fully observable through OTel logs and traces. - AI-Ready Foundation: Structured, semantically rich telemetry that future LLM-based incident analysis agents can reason over. The schema you design today is the substrate for Phase 3. - Architect the Observability Platform: Define telemetry schema, correlation model, transport, and sampling strategies spanning client devices, controllers, and gateways. - Build the Telemetry SDKs and LogForwarder: Instrument AppGate components with OpenTelemetry and implement the enrichment, redaction, batching, and tail-sampling pipeline that scales horizontally under load. - Validate at Customer Scale: Test in lab environments matching our largest deployments — hundreds of sites, tens of thousands of concurrent sessions — and hunt down cardinality explosions and pipeline backpressure before customers see them. - Drive Integration Standards: Own the OTLP, Prometheus, and JSON-log compatibility surface and validate ingestion into Datadog, Splunk, Nexthink, and Elastic. - Raise the Engineering Bar: Establish patterns and review practices the Data + AI team builds on. Mentor engineers and grow the observability discipline inside AppGate. - Collaborate Cross-Functionally: Work directly with product, R&D, and marquee customers in defense and critical infrastructure to shape requirements and deliver outcomes that matter. Qualifications - 8+ years of engineering experience with at least 4 years dedicated to observability, telemetry, or large-scale data infrastructure (Datadog, Splunk, Elastic, Honeycomb, New Relic, Grafana Labs, or equivalent). - Deep OpenTelemetry expertise: OTLP, the OTel Collector, semantic conventions, context propagation, and head/tail sampling — you can debate the trade-offs in your sleep. - Distributed tracing in production: You’ve designed or significantly contributed to a tracing system handling real customer traffic, not just a side project. - High-throughput pipeline experience: Hands-on with systems ingesting 100M+ events per day, including back-pressure handling, batching, and storage trade-offs. - Strong systems programming: Production Go and/or Rust preferred. Comfort across the stack, from agent code to backend services. - Networking and security fluency: Comfortable with TLS, DNS, TCP, and identity protocols. Prior ZTNA, SASE, or SD-WAN experience is a strong plus. - Mindset: Pragmatic, opinionated, and impact driven. You know when to prototype and when to ship. Our Observability Vision AppGate secures defense agencies, federal governments, and Fortune 100 enterprises. When a connection traverses our ZTNA fabric — across clients, gateways, controllers, and protected resources — every hop carries real consequences for national security and business continuity. Yet when something breaks, the answer to “Why can’t I reach this resource?” is still buried in fragmented logs and tribal knowledge. That ends now. We are building Observability AI — a purpose-built observability platform for the Zero Trust era. It emits high-fidelity, correlated telemetry across every AppGate component, is OpenTelemetry-native, engineered for 100M+ events per day, and designed to stream into Datadog, Splunk, Nexthink, Elastic, or any OTLP-compatible backend. The roadmap runs from a raw data-feed MVP, through native analytics and root-cause dashboards, to AI-driven incident analysis — LLM agents that read traces and explain failures in AppGate terms — and ultimately to autonomous remediation. This is the nervous system for networks that protect nations. This is your chance to build the observability platform for networks that protect nations. If you’ve shipped observability at scale and want to apply that craft where the stakes are highest, we want to hear from you. Company Description AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Role Description We are recruiting a Senior or Principal Product Manager to lead the evolution of a Digital Risk Intelligence platform focused on detecting and disrupting malicious infrastructure used in phishing campaigns, impersonation attacks, and online fraud. The platform analyzes malicious infrastructure across: - phishing campaigns - malicious domains - hosting infrastructure - impersonation attacks - rogue mobile apps - social platform abuse The ideal candidate already understands how attackers operate online abuse infrastructure and has worked closely with threat intelligence analysts, security researchers, or fraud detection teams. Additionally, they would be familiar with turning signals into indicators, leveraging AI classifiers and analyzers that improve detection and reduce false-positives. Qualifications - 5–10+ years Product Management experience - Experience building security or fraud detection platforms - Exposure to threat intelligence or digital risk ecosystems - Experience working with security researchers or detection teams - Professional fluency in English and Spanish Requirements - Preferred background from companies such as Recorded Future, ZeroFox, Netcraft, and Outpost24. Company Description