Top Tech Jobs & Startup Jobs

Lead design and implementation of scalable cloud services: define architecture, write and review maintainable code, build automated tests, and ensure reliability. Collaborate with stakeholders, drive deployments, monitor live services (on-call/DRI), and iterate using telemetry. Mentor engineers and promote engineering excellence, security, and compliance.

Lead reporting, analytics, and operational technology for Audit, Risk & Compliance. Define and deliver BI, data pipelines, AI/LLM-enabled tooling, and enterprise reporting. Manage a team of TPMs and data scientists, govern semantic models and KPIs, oversee vendor relationships, and drive AI-driven automation and audit-ready outputs while ensuring data quality, security, and regulatory compliance.

Build and maintain native macOS endpoint agent components for Microsoft Defender for Endpoint. Develop detection, telemetry, and response features with focus on reliability, performance, concurrency, and compatibility across macOS versions. Investigate crashes and performance regressions, apply secure coding practices, collaborate across teams, participate in design and code reviews, and deliver production-quality systems-level software.

Design, implement, and ship research-driven solutions for LLM-driven autonomous agents. Research human-agent interaction, human oversight (HITL), and agent-app collaboration. Drive product requirements, data strategy, documentation, ethics/bias considerations, onboarding, and external academic collaboration to deliver scalable AI systems to customers.

Lead cross-functional privacy and compliance programs for Microsoft Security. Own privacy review processes, advise engineering teams on privacy-by-design, coordinate with legal/regulatory/auditors, drive automation and simplification, and ensure alignment across privacy, compliance, and risk stakeholders to maintain customer trust.

Design, develop, and improve web platform features in the Chromium rendering pipeline to deliver high-performance, interoperable web experiences. Collaborate with engineers, program managers, and standards bodies (W3C, Chromium), contribute upstream to Chromium, and drive browser engine innovation with a focus on systems, performance, and large-scale codebases.

Lead research on agentic systems, agent ecosystems, advanced agentic capabilities, human-agent interaction, evaluation tooling, and responsible AI. Build and deploy prototypes, collaborate across teams, publish research, and translate innovations into practical, impactful applications.

Design, curate, and evaluate large-scale text datasets for LLM pretraining. Build scalable ingestion, preprocessing, filtering, annotation pipelines; run data ablations and analyses; create auditing, visualization, and versioning tools; and collaborate with Safety, Ethics, and Governance to ensure dataset quality, privacy, and responsible AI alignment.

Design, implement, and optimize distributed pre-training infrastructure for large-scale GPU clusters. Profile, benchmark, and debug compute, memory, networking, and storage bottlenecks; optimize communication libraries and GPU programming stacks; collaborate with hardware and model teams to scale training, ensure reliability, and influence architecture and roadmap.

Lead end-to-end data science and AI engagements: design, develop, deploy and evaluate models, mentor teams, partner with stakeholders, drive adoption, and apply Responsible AI to deliver measurable business impact.