Top Tech Jobs & Startup Jobs

The Software Development Engineer In Test will develop and execute test strategies, perform automation and manual testing, design test frameworks, and apply AI techniques for quality assurance across software platforms.

Design and implement behavioral detections and analytic content, build full-stack applications and internal tools, develop algorithms for behavioral modeling and risk scoring, lead quality engineering and test automation for intelligence pipelines, collaborate cross-functionally, and research emerging threats and detection methods.

Lead technical pre-sales engagements across APAC: manage POV lifecycles, deliver demos, conduct threat analysis and simulations, evaluate platform improvements, create SE enablement materials, and collaborate cross-functionally to convert evaluations into closed deals while advising enterprise stakeholders on insider risk and AI-related security risks.

The Insider Risk Analyst analyzes customer data for threat detection, coordinates investigations, presents findings with data visualization, and provides tiered support while enhancing the security environment.

Lead design, implementation, and tuning of large-scale OpenSearch clusters for IRM/DLP products. Mentor engineers, consult with clients, contribute to open-source, migrate Elasticsearch deployments to OpenSearch, optimize ingestion and search performance, and operate cloud-hosted search environments while collaborating with global teams.

Lead backend-focused full-stack development using Python/Django and Postgres/OpenSearch. Architect scalable features, containerized deployments (Docker/Kubernetes) across cloud and on-prem, collaborate with product and frontend (React), ensure security, performance, and reliability, support deployments and operations, and adopt AI-assisted development tools to improve productivity.

The Senior Pre-Sales Solution Engineer at DTEX leads technical discussions, manages customer evaluations, and provides security expertise to drive sales while managing pre and post-sales support.

Owning the full enterprise sales cycle for US Federal accounts: prospecting, C-level engagement, complex solution selling with channel partners, coordinating resources, managing negotiations and pipeline reporting to close multi-year, multi-million dollar SaaS deals.

Lead a cross-functional AI product engineering POD to define and deliver enterprise-scale AI risk detection and mitigation. Own product strategy, AI architecture, execution cadence, and go-to-market integration. Build production-grade, explainable, privacy-preserving AI systems for behavioral analytics, anomaly detection, and LLM-driven reasoning to drive measurable customer impact.