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Lead the AI Observability product from vision to GA and beyond, owning roadmap, pricing, and enterprise customer partnerships while driving engineering teams without formal authority.
Lead the design and development of scalable Salesforce solutions, writing APEX/LWC code while guiding a team to meet business needs and improve system performance.
Leads a team of 6–8 senior engineers building AI-driven database observability tools, managing telemetry pipelines, agent development, and AI-powered diagnostics while setting technical direction and fostering high-performance engineering culture.
Build and optimize Salesforce Service Cloud solutions, integrating with enterprise systems and automating workflows using Apex, Lightning Web Components, and Flow.
Build and scale New Relic’s global Kubernetes-based observability platform, automating infrastructure with Go and GitOps tools like ArgoCD.
Senior Solutions Consultant at New Relic helps clients optimize digital applications by presenting and demonstrating the New Relic observability platform, bridging technical and business needs to drive sales and adoption.
Product Data Scientist at Baseten (an AI inference platform) who partners with Product, Engineering, and GTM to define success metrics, design A/B experiments, build forecasts, and analyze clickstream plus inference telemetry to guide product strategy. Core stack: SQL, Python, time-series forecasting (ARIMA/Prophet), dbt, and BI tools like Sigma/Hex.
Systems Engineer on PDQ's PDQ Connect and SmartDeploy teams acting as a Tier 3 escalation point: investigating and reproducing complex customer issues across Windows endpoints, cloud services, and APIs, then partnering with engineering, QA, and product to validate fixes. Stack includes Elixir, Rust, C#, AWS/GCP, SQL, and PowerShell/Python.
Principal Software Engineer at Microsoft Azure Core designs and improves cloud infrastructure, solving reliability and scalability challenges for global customers using languages like C++, Python, and Java.
The Tech Ops Analyst III will critically evaluate external integrations and processes for a digital account, focusing on payment and collection flows. This role involves identifying opportunities to apply AI for operational efficiency, analysis, and documentation, while ensuring regulatory compliance.
Software Engineer II / Senior Software Engineer roles at Microsoft Digital building AI-powered enterprise platforms: intelligent agents, copilots, and cloud-native services that automate legal, compliance, support, and workplace workflows. Stack centers on Azure, C#/Python/TypeScript, LLMs, Copilot/agent frameworks, and Microsoft 365/Dynamics/Power Platform integrations.
Designs and leads RTL implementation for AI infrastructure silicon, focusing on PCIe, CXL, Ethernet, and emerging interconnects to deliver high-performance connectivity solutions.
Senior engineer building Neo, Pulumi's autonomous AI infrastructure agent — a 'Claude Code for your cloud' that plans and executes multi-step cloud operations. Work spans agent orchestration, tool/context systems, evaluation frameworks, and web interfaces, primarily in Python and TypeScript with LLMs and cloud platforms (AWS, Azure, GCP, Kubernetes).
Software Engineer (IC3) on Microsoft's Commercial Engineering & AI team in Redmond, building and operating AI-native systems for Microsoft's commercial business. Day to day involves coding in languages like C#, Java, JavaScript, or Python, contributing to design, secure deployments, and live-site reliability using cloud tooling.
Leads Microsoft's experience design discipline for human-AI agent interactions, setting vision, standards, and design systems for conversational, agentic, and human-in-the-loop experiences across M365 and Teams. Builds and mentors a global design team, drives accessibility (WCAG) and research strategy, and represents design at the executive level; core tools include Figma and the Fluent Design Sys
Network engineer embedded in the NOC at Cello, NZ's largest specialist enterprise network service provider. Day to day: monitoring and managing incidents across core and client networks, owning the incident lifecycle from triage to resolution, managing third-party providers, and supporting project delivery. Works a 4-day week of 10-hour shifts, two on weekends.
Senior Analytics Engineer at Prefect owns go-to-market analytics: building and maintaining the GTM data model in dbt, modeling the self-serve and sales funnels, attribution, and unit economics, and shipping the reporting layer in Omni. Core stack is dbt, SQL, Python, a cloud warehouse, and GTM systems like Salesforce and Amplitude.
Hands-on full-stack engineer building an AI-powered testing platform: developing React front ends, Node.js services, and Azure cloud workflows. Ships production-ready features and maintenance in sprints, collaborating with the Head of Engineering & AI, Product Owner, and QA.
Hands-on full-stack engineer role building and maintaining an AI-powered software quality and testing platform for a UK/European client. Day to day: features across React, Next.js, TypeScript and Node.js, REST APIs, SQL and third-party integrations, plus Azure serverless/cloud workflows, defect resolution and two-week sprint delivery.
Senior Technical Evangelist for Pure Storage's AI platform, turning its data platform tech (Portworx, Evergreen//One, Data Stream Services) into technical content, sandbox demos, reference architectures, and sales enablement. Requires deep AI-stack skills (PyTorch, vLLM, Kubernetes, RAG, vector DBs) plus Python/shell scripting, working in-office in Santa Clara or Bellevue.
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