Top Tech Jobs & Startup Jobs

Design, build, and deploy AI-native systems including LLM and RAG models, data pipelines, and MLOps. Support model training, deployment, monitoring, and integration of AI capabilities into services and APIs while following security and responsible AI practices.

Job posting for Microsoft Software Engineer (IC3/IC4 levels). Lists base pay ranges for U.S. and SF/NY metro areas, application timing, and equal opportunity statement. No specific responsibilities or technical requirements provided.

Design, build, and operate large-scale, secure authentication services and clients. Collaborate across product and engineering, ensure reliability, testability, and security, participate in on-call and incident response, optimize automation and monitoring, and apply AI tools to improve engineering productivity.

Lead and develop SRE practices for secure, highly regulated Microsoft CISO services. Architect and automate hybrid/cloud infrastructure, manage petabyte-scale data platforms and pipelines, implement IaC and disaster recovery, deliver telemetry and automation, participate in on-call rotations, and mentor engineers to improve reliability, diagnosability, security, and compliance.

Design, implement, deploy, and operate highly available, globally distributed telemetry and observability backend services. Build APIs, tooling, and data pipelines for collection, routing, storage, and access. Integrate ML-based anomaly detection and platform intelligence. Ensure reliability, monitoring, alerting, incident response, and participate in on-call rotations. Drive architecture, mentor engineers, lead design reviews, and champion safe AI/agentic development practices across teams.

Lead platform evolution for the Microsoft 365 Routing Plane to improve performance, resiliency, scalability, and cost efficiency. Set strategy and roadmaps, use AI-driven analysis and agents to model tradeoffs, drive Azure-native transitions, coordinate across engineering, Azure, finance and supply chain, define OKRs/KPIs, and mentor product managers while delivering measurable efficiency and capacity outcomes.

Lead GTM strategy and execution with top services partners to drive revenue and consumption for cloud and AI solutions. Build data-driven partner marketing plans, manage partner investments, activate multi-tactic campaigns and co-sell motions, track KPIs, optimize ROI, ensure compliance, and collaborate with cross-functional stakeholders and senior partner leaders.

Lead design and delivery of large-scale AI observability services for Core AI. Own end-to-end development, production readiness, and DevOps practices; collaborate with product, partners, and customers; innovate on reliability, performance, and monitoring for generative AI agent platforms.

Lead design and delivery of data-driven solutions and low-code/no-code platforms for Audit, Risk, and Compliance. Partner with engineering and business stakeholders to translate large datasets into actionable insights, automate processes (including AI/agents), build visualizations, ensure solutions are stable and compliant, and drive data standards and continuous improvement.

Design and lead architecture for agentic reliability and observability platforms. Build automated detection, triage, mitigation, and safe remediation systems. Drive operational standards (SLOs, alert quality, incident automation), influence partner teams, run live-site investigations, convert reliability gaps into platform investments, and mentor engineers on monitoring, incident response, and AI-assisted automation.