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Senior Software Engineer develops and maintains the Apex Server application, driving architectural changes, feature development, and performance improvements in C++/Java while mentoring junior engineers and collaborating with stakeholders to deliver high-quality solutions.
Owns the agentic tools platform that powers ZoomInfo's multi-agent orchestration system, defining tools, integrations, and standards for AI agents across products like Copilot and GTM Studio.
Leads security strategy and operations for DoorDash’s global customer support network, coordinating cross-functional incident response, risk management, and scalable governance frameworks to prevent fraud, abuse, and platform integrity failures across thousands of agents and systems.
Builds and maintains DoorDash’s scalable data platform (Spark, Flink, Kafka, Airflow) to enable real-time analytics, data governance, and business insights for logistics/delivery operations.
Build and scale DoorDash’s in-house Apache Spark platform, optimizing runtime, shuffle service, and Kubernetes-based scheduling to power data, analytics, and ML workloads at massive scale.
Build and operate DoorDash’s in-house Apache Spark platform, optimizing runtime, multi-tenant scheduling on Kubernetes, cluster lifecycle automation, and observability tooling at company-wide scale.
Lead the architecture and evolution of DoorDash’s event streaming platform (Kafka, WarpStream, AutoMQ) that handles trillions of events daily, setting multi-year technical strategy and solving distributed-systems challenges at massive scale.
Design statistical methods and standards for experimentation across DoorDash, Deliveroo, and Wolt, partnering with engineering to build the platform and decide where AI fits in the process.
Leads Veeam's enterprise data governance program end to end: running Databricks Unity Catalog and Atlan as the governance backbone, certifying data domain by domain, registering AI agents, and standing up continuous agent-driven trust scoring. Requires deep data governance experience and daily hands-on use of agentic AI tools like Claude.
The Cloud Security Engineer will design and manage security controls for AWS and Kubernetes infrastructure, focusing on securing the company's RCE-as-a-Service platform. The role involves infrastructure-as-code management using Terraform, threat modeling, and collaborating with engineering teams to embed security into CI/CD pipelines.
A consulting-heavy architect role: designing Microsoft 365 Modern Work target architectures (Teams, SharePoint Online, Exchange Online, Intune, Entra ID, Security), supporting presales workshops and customer meetings, and hands-on delivering migration and transformation projects at a cloud consultancy.
Build and scale distributed networking systems and load balancers that power Box’s internal and customer-facing platforms, using Go/Java/C++/Rust and cloud-native tools.
Build and lead the web design team while developing full-stack apps, internal tools, and AI-driven automations for a Salesforce-focused agency in Mexico City.
Backend engineer at LaunchDarkly building Vega, an AI-powered observability and insights platform. Day to day: design and ship Go services, APIs, AI agent infrastructure, and high-throughput data pipelines, extending AI features like natural-language dashboard creation across products while owning reliability and on-call.
Design and implement secure cloud infrastructure platforms, integrating hardware, firmware, and software security features like secure boot and hardware root of trust.
Senior Product Manager shaping an AI platform that transforms enterprise data into reliable context for AI applications, analytics, and decision-making. Owns end-to-end product initiatives, bridges customer needs with technical constraints, and drives roadmap strategy in a fast-growing AI/data startup.
Pre-sales Senior Solutions Engineer at Coder who partners with Account Executives to win Fortune 500 deals through demos, architecture discussions, and proofs-of-concept of Coder's self-hosted cloud development environment platform for human developers and AI coding agents. Core stack: Linux, Docker, Kubernetes, Terraform, AWS/GCP/Azure, and LLM/AI tooling.
Technical sales advisor (Global Black Belt) at Microsoft who helps large enterprise customers modernize database estates and migrate to Azure (SQL Server, PostgreSQL, Azure Databases), driving competitive wins against AWS/Oracle/Google Cloud, advising on licensing and AI-ready data foundations, and coaching field sellers.
Lead the build and operation of CI/CD, Kubernetes, and cloud/on-prem infrastructure that powers Cerebras' AI chip engineering workflows, using Python and automation to scale software delivery.
Designs and implements scalable data architecture and core data pipelines in Snowflake to improve analytics and decision-making across BMC Software, ensuring data quality and collaborating with cross-functional teams. Daily work centers on Snowflake, dbt, AWS, Azure, SQL, and data modeling.
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