Top Tech Jobs & Startup Jobs

Deploys, maintains, and scales GitLab-centered engineering platforms and tooling. Designs complex CI/CD pipelines for container, Helm, RPM, and cross-platform builds; manages artifact registries; integrates SAST, code quality, vulnerability scanning, automated testing, and security controls. Establishes development standards, branch strategies, commit conventions, code review practices, pre-commit hooks, project scaffolding, signing, and secret management. May also build machine learning specialization pipelines.

Own the infrastructure, processes, and frameworks for end-to-end system testing. Build automation frameworks, enable developer test-driven development, manage test data, and use AI to improve test generation, maintenance, coverage, and triage. The role also involves performance and reliability testing for complex systems, with preferred experience in hardware appliance testing, CI/CD integration, and observability-driven test coverage.

Conduct graduate-level research on cyber attack and defense, focusing on threat detection. Study adversary behavior, develop detection logic and research tooling, and convert research problems into working prototypes for a security platform. Collaborate with security researchers and engineers while applying expertise in malware, network traffic, vulnerability exploitation, threat hunting, reverse engineering, offensive security, machine learning, and penetration testing.

Build and maintain enterprise cybersecurity lab and demo environments, create technical collateral, train field teams, validate product capabilities, advise Product Management, and support technical buyer meetings, webinars, events, and customer demonstrations. The role bridges engineering, product management, and go-to-market teams while translating complex cybersecurity workflows into compelling technical narratives.

Lead research and development of large-scale threat detection capabilities, analyze emerging attacks and adversary TTPs, build research systems (APT simulation, CTI, security knowledge graph), and collaborate with data scientists to apply agentic AI/ML for security detection workflows.

Design and build agentic AI systems and LLM-based solutions for cybersecurity platforms. Implement ML/DL pipelines for threat detection, fine-tune and optimize models, create evaluation benchmarks, collaborate with security researchers and engineers, and deploy production-ready AI-driven SOC, SOAR, and SIEM workflows.

Design and implement low-level Windows kernel and user-mode systems for endpoint telemetry, behavioral detection, and system instrumentation. Develop production-quality WDM/WDF drivers, kernel callbacks, synchronization, and user/kernel communication. Debug kernel crashes, concurrency, and memory issues; analyze Windows internals, scheduler behavior, and cross-version compatibility to improve endpoint visibility and security.

Lead design and implementation of a cross-platform endpoint security agent for Windows, Linux, and macOS. Architect low-overhead detection, user-mode and kernel-level integrations, offline telemetry spooling, resilient agent lifecycle and secure distributed synchronization. Solve challenges in instrumentation, anti-tampering, and high-performance telemetry while documenting and communicating designs.

Own and build complex frontend user experiences for an AI-native cybersecurity platform. Design performant interfaces, visualizations, and dashboards for security analysts, define frontend architecture and standards, collaborate with product/backend/AI teams, and integrate AI to improve investigation and response workflows while ensuring scalability and maintainability.

Design and build the management layer for a distributed embedded system: policy structures, configuration storage and reliability, secret management, and engines. Architect and secure REST/gRPC APIs, optimize database performance, and collaborate on a high-availability cybersecurity product.