Sr. Mobile QA Analyst at CrowdStrike (cybersecurity) responsible for automated and manual testing of native iOS/Android apps and Salesforce Lightning components, using Java, Selenium, Cypress, and BDD frameworks within the IT Go-to-Market team. Requires 5+ years QA experience, 3+ years automation, and AI-driven workflow optimization.
As an Incident Response Consultant at Beazley Security, the person helps clients respond to and recover from cybersecurity incidents and provides proactive security guidance. Day-to-day work includes coordinating incident response, client communication, cloud/network/endpoint and forensic analysis, and writing incident reports using SIEM, EDR, and forensics tools.
Penetration Tester at OccamSec conducts security audits, network penetration tests, and web application, API, and cloud assessments for clients, drafts reports, and provides remediation guidance using AWS/Azure/GCP, scripting languages, and tools like Wireshark.
The Senior Analytics Engineer owns the dbt transformation layer, designing and maintaining modular data models and reusable business metrics for a cybersecurity awareness platform. Day-to-day work centers on SQL, dbt, cloud data warehouses (BigQuery/Snowflake/Redshift), and semantic layers to support analytics, product, and AI use cases.
Leads penetration tests across network, web, cloud, and mobile environments as a Principal Consultant in Palo Alto Networks' Unit 42 Offensive Security team. Builds custom offensive security tools and delivers actionable remediation reports to clients using platforms like Frontier AI Defense.
Owns the automation strategy for network security delivery at Palo Alto Networks, building full-stack platforms and multi-agent AI systems for Technical Services teams. Day-to-day work spans TypeScript/Python/React development, GKE/Terraform infrastructure, Vertex AI (Gemini/Claude) agent harnesses, and PAN-OS/Prisma APIs, with zero trust and AI security applied throughout.
Senior Solution Engineer supporting Tanium's SLED (state, local, and education) sales cycle in the Northeast. Day-to-day work includes pre-sales discovery, platform demos, Proof of Value engagements, and translating public sector mission challenges into technical solutions using Tanium's enterprise operations and security platform, with 40–60% travel.
Builds and evaluates autonomous AI agents (Digital Workers) for identity operations and security at Okta. Day-to-day work includes designing agent harnesses for planning, tool use, and memory; integrating OpenAI and Anthropic APIs; and creating evaluation datasets and regression tests using Python, FastAPI, AWS Step Functions, and PostgreSQL/pgvector.
Senior Engineer on Okta's Auth0 Observability team, owning observability tooling (metrics, logs, traces) for the platform. Acts as a technical leader, building scalable observability infrastructure with Terraform and Datadog, and driving instrumentation standards across engineering teams.
Senior Software Engineer building autonomous AI agents (Digital Workers) for identity operations and security at Okta. Day-to-day involves building agent harnesses, evaluations, and integrations with OpenAI/Anthropic models using Python FastAPI, AWS Step Functions, PostgreSQL/pgvector, and Bedrock AgentCore.
Leads agent harnesses, evaluations, and model quality for Okta's Digital Workers—autonomous AI agents for identity operations and security. Day-to-day work uses Python/FastAPI, AWS Step Functions, OpenAI and Anthropic APIs, PostgreSQL/pgvector, and agent observability to make LLM-powered workers reliable for enterprise customers.
Senior/Staff Software Engineer on Stellar Cyber's Integration Team, owning integration domains end-to-end for an AI-driven SecOps platform (SIEM, NDR, XDR). Builds microservice-based integrations (REST, GraphQL, streaming, MCP, LLM-powered automation), designs parsing/normalization components for security data, and mentors engineers while using AI tools to amplify development.
Principal Engineer (individual contributor, no direct reports) who anchors NodeZero's data infrastructure at Horizon3. Owns PostgreSQL-at-scale architecture, multi-tenant schema design, graph data models, and database standards; writes production Go/Python code, authors design docs, and mentors engineers.
As a Channel Solution Architect for DACH at CrowdStrike, you’ll design cloud security solutions and enable strategic partners using the Falcon platform, Kubernetes, CI/CD, and major cloud environments, while traveling regularly across Europe and speaking at partner events. Fluent German and English are required.
Senior Data Scientist on Reddit’s Safety Enforcement team owns the full lifecycle of an abuse-detection problem—from signal discovery through model development, thresholding, rollout, and post-launch monitoring—using statistical, ML, and GenAI methods to build decision systems that detect and mitigate harmful content and behavior.
Lead a U.S.-based team of customer-embedded Forward Deployed Solution Engineers who co-develop AI and data prototypes with strategic Cisco/Splunk customers. Day to day: hire and mentor engineers, architect cloud-native and event-driven deployments, and brief C-level executives on observability, AI, and data architecture using Cisco and Splunk technologies.
Leads the API Platform team at Zscaler, managing senior engineers and owning the vision, roadmap, and governance for APIs and developer tooling. Works with Java, Go, Python, gRPC, Temporal, Postgres, and Redis to build scalable, secure platforms for internal engineering teams.
Manages the evolution of Zscaler's enterprise data platform into an AI-ready data and knowledge platform, combining data engineering, AI platform engineering, knowledge engineering, and generative AI. Leads a globally distributed team of data and AI engineers across the US and India, owning performance, career development, and day-to-day execution. Owns the Data Platform (Snowflake, dbt, Matillion
Senior Staff Software Engineer designing and developing enterprise-grade Identity Management products for Zscaler's Zero Trust Exchange platform, using Java, Spring, and IAM protocols (SAML, OAuth, OIDC) in a hybrid San Jose role.
Sr. Staff Applied AI Engineer embedded with go-to-market teams to build production-grade AI solutions (RAG, agentic workflows) that drive revenue outcomes, advise GTM leaders on AI strategy, and set engineering standards for the Applied AI team. Core tech: Python, AI/ML, MCP, A2A, cloud platforms.
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