Software Engineer, Software Architect, AI Engineer

Delivers platform capabilities within a sub-organization or technical area, including infrastructure, tooling, and ML frameworks (for example, CI/CD, SDKs, model runtimes, feature stores).

Aligns development efforts with roadmap milestones and domain priorities to ensure cohesive execution.

Applies cloud-native architecture principles (for example, microservices, containers, automation) to achieve scalability, resilience, and agility across systems.

Drives the full software development lifecycle: coding, testing, CI/CD deployment, observability, monitoring, and maintenance.

Leads infrastructure and tooling development to accelerate engineering productivity, enhance developer experience, and support platform goals.

Conducts system design reviews to validate feasibility, ensure quality, and confirm alignment with project goals and architectural best practices.

Integrates AI agents and ML components that support multi-step reasoning and automation using platforms like Git Hub Copilot.

Applies design patterns and principles to ensure solutions are secure, maintainable, modular, and scalable.

Mentors engineers and junior leaders across teams, fostering technical growth, psychological safety, and continuous learning.

Influences architectural and technical decisions, advocating for standardization, reusability, and long‑term sustainability.

Enables team members through delegation, documentation, developer tool selection, and design guidance.

Engages product and business stakeholders to identify and refine complex user problems, converting them into actionable technical requirements.

Breaks down work into well‑scoped, actionable units ready for engineering execution.

Uses data‑driven engineering practices to define and track success metrics, optimize development processes, and maintain engineering excellence.

Contributes to API design and software prototyping to validate technical solutions and gather early feedback.

Facilitates correction‑of‑error review processes to continuously improve code quality and reduce defect recurrence.

Stays current with industry trends and contributes to engineering thought leadership through documentation, tool evaluations, and internal knowledge sharing.

Demonstrates responsibility for deliverables, ensuring solutions meet quality standards and business objectives.

Takes initiative to resolve issues and drive projects to completion.

Applies sound reasoning to make informed technical decisions, balancing trade‑offs and considering long‑term impacts on system architecture and business goals.

Adapts quickly to change, embraces new technologies, and understands the broader system context.

Anticipates the downstream effects of technical choices and integrates feedback to improve outcomes.

Works effectively across teams, openly shares knowledge, and communicates complex ideas clearly to both technical and non‑technical stakeholders.

Proactively seeks opportunities to enhance processes, tools, and products.

Encourages experimentation and learning to drive ongoing improvement.

Additional compensation for certain positions may also include:

• Stock

Additional compensation includes annual or quarterly performance bonuses.

Option 1:
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.

Option 2: 6 years’ experience in software engineering or related area.

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.

We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility…