Senior Software Engineer - Copilot

About the role

Build the experiences that help publishers and advertising customers get work done. AI-Native Development Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same.

Uses SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to improve processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities. Ensures test plans incorporate security testing to validate security invariants (including negative cases).

Collaborates with other teams to reach common goals where dependencies and validation concerns overlap. Works across teams to resolve conflicts around dependency ownership and required work. Develops design documents that support user stories and other product requirements.

Ensures system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), disaster recovery, and other requirements and expectations.

Works with partner teams to ensure a project/sub-system of a product works well with the components of the partner team, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live. Develops skills in tools outside current areas of expertise.

Supports and/or adopts security standards for clear security code review practices for a project/sub-system of a product that align with design and engineering principles to raise the security hardening for both protections and detections. Guides other members for project estimation and escalates issues that might cause a delay. Ensures required security protections and detection processes are accounted for in planning.

Ensures project plans adhere to security, privacy, and compliance requirements. Ensures all code for a product/solution is properly flighted for quicker mitigation of production incidents. Establishes a rollback plan for a project/sub-system of a product. Collaborates with internal partners (e.g., Data Science, product managers) to incorporate success and guard rail metrics for experimentation.

Ensures that solutions are deployed safely, rolling out security-sensitive features only to applicable, relevant customers and scenarios to reduce the attack surface. Builds deployment infrastructure to allow developers' private builds for a project/sub-sub-system of a product to be tested in a production-like environment.

Implements solutions and mitigations to more complex issues impacting performance or functionality of live site service and escalates appropriately. Enables secure operations, security monitoring, and integration with live site investigation activities.

Collaborates with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders to determine and confirm customer/user requirements for a project/sub-section of a product/solution. Incorporates customer insights into future designs or solution fixes.

Ensures unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value are incorporated. Understands, provides feedback on, and advocates for security and privacy needs of the customer who will be using the project/sub-section of a product/solution.

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience building and owning large-scale production applications, with demonstrated end-to-end technical ownership from architecture and design through implementation, deployment, and operational excellence. Demonstrated technical leadership, including leading engineering initiatives, driving architecture and design decisions, navigating ambiguity, and influencing engineers and partner teams without formal authority.

Solid full-stack development experience with React, Node.js, JavaScript, and TypeScript, including experience designing and building micro-frontend architectures and backend APIs/services. Solid AI-powered engineering mindset and skills, with hands-on experience using AI-assisted development tools and applying AI to improve software design, implementation, testing, debugging, operational workflows, and developer productivity.