Bachelor's degree in Computer Science or related field, or equivalent experience.
5+ years in security engineering or infrastructure/SRE with a security focus.
Hands-on experience with EDR and writing/tuning detections.
Experience with telemetry pipelines and SIEM at TB scale, strong SQL skills.
Proficient in Python or Go, with willingness to work in Rust.
Knowledge of identity management and session/token theft.
Strong written communication skills for incident management and documentation.
Interest in the web3 space.
Responsibilities
Build and operate the Security Observability & Data Platform, managing data ingestion and detection layers.
Own endpoint security: deploy and tune EDR, configure binary authorization, and set hardening baselines.
Lead threat hunting and manage security incidents from triage to root cause analysis.
Develop next-gen security services, including zero-trust authentication and compliance as code.
Build and manage the agent platform using LLM agents for automation in security processes.
Review infrastructure designs for security and guide engineering teams on shared services.
Conduct red-team exercises and translate findings into actionable detections and fixes.
Create clear runbooks and post-mortems for incident response.
Benefits
Flexible work environment with remote options.
Opportunities for professional development and training.
Access to cutting-edge technology and tools.
Collaborative and innovative team culture.
Health and wellness programs.
Full Job Description
Responsibilities
Build and operate the Security Observability & Data Platform (tens of TB/month and growing). This covers ingestion, normalization and retention, plus the query and detection layer on top. Detections are code: tested, reviewed, and measured for precision.
Own endpoint security across the fleet: deploy, tune and respond with EDR; run and configure binary authorization; and set hardening baselines with IT Operations.
Lead threat hunting, internal investigations and insider-threat work. Handle security incidents end to end: triage, containment, forensics, root cause, and the control that prevents a repeat.
Build the next generation of security services and run them in production: zero-trust AuthN/AuthZ, a uniform blocking service, an application proxy, asset inventory, developer portal, and compliance as code.
Build and run the agent platform (local and Kubernetes). Use LLM agents to automate triage, enrichment, investigation and response, with deterministic checks wherever a model's answer isn't enough.
Review infrastructure and cloud designs (Kubernetes, AWS/GCP, bare metal, CI runners) for security, and help engineering teams adopt the shared services instead of building their own.
Run red-team and adversary-emulation exercises, and turn the results into detections and fixes.
Write runbooks and post-mortems that someone who wasn't in the room can follow at 3 a.m.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
5+ years in security engineering, detection and response, or infrastructure/SRE with a security focus, including hands-on incident response on endpoints and in the cloud.
Experience operating an EDR, writing and tuning detections. Knowledge of macOS and Linux internals as attackers use them: persistence, credential theft, process injection, living-off-the-land binaries.
Experience building or operating telemetry pipelines and a SIEM or security data lake at TB scale. Strong SQL, including detection logic over large datasets.
Hands-on production engineering: Linux, containers, Kubernetes, at least one major public cloud, infrastructure as code, monitoring and alerting.
Proficiency in Python or Go, and comfort with Rust or willingness to work in it (most of Mysten's stack are Rust).
Working knowledge of identity: SSO (OIDC/SAML), phishing-resistant MFA, device trust, and how session and token theft work.
Strong written communication: can run an incident channel and write the post-mortem.
Interest in the web3 space is required.
Preferred Qualifications
Experience building zero-trust access, identity-aware proxies or policy engines.
Binary authorization or allowlisting at fleet scale
Familiarity with the threat actors that target crypto companies and their methods, from social engineering and fake campaigns to supply chain compromises.
Digital forensics (memory, disk, macOS unified logs) and malware analysis.
Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work.
Compliance as code (CIS benchmarks); experience in ISO 27001 or SOC 2 environments.
Publications, conference talks or open-source security tooling.
