Software Engineering Architect

Salesforce•San Francisco, CA

2d•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience: CECM (Cloud Economics & Capacity Management) develops intelligent, data-driven tools which enable strategic financial operations (FinOps) decision-making pertaining to Salesforce infrastructure expenditure and capacity management. We are building a platform that provides near real-time monitoring of Cloud and AI cost and capacity utilization of the infrastructure, which will help in optimizing resource allocation, forecasting spend, and minimizing costs. We incorporate advanced machine learning techniques to turn the petabytes of data generated by our global infrastructure into actionable predictions and business insights used by FinOps practitioners, internal service owners, and technical leaders daily. As an internal tooling team, engineers are expected to directly interact with customers to develop requirements and design, release and maintain distributed systems with visibility throughout Salesforce. We are looking for a technical ace and thought leader in cloud economics, data platforms, and infrastructure optimization to join the team. This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of cloud cost and usage data. We embrace AI not just to improve our productivity but also to empower our users to access our capabilities towards a Headless experience.

Requirements

15+ years of hands-on software development experience with a proven track record of designing, building, and delivering large-scale, high-performance distributed systems.
A related technical degree is required.
Extensive cloud infrastructure architecting & development experience (FinOps, cost optimization, capacity planning, or data platforms)
Extensive experience working in the public cloud (AWS, GCP, Azure)
Deep expertise in big data platforms (Trino/Presto, Iceberg, Airflow, Spark)
Knowledge of AI/ML systems, LLM optimization, or agentic workflows
Love getting things done (e.g. hands-on prototyping a new approach)
Experience building products used by 1000+ internal users

Nice To Haves

Experience mentoring engineers and contributing to technical discussions, actively fostering their technical development and understanding of complex architectures.
Strong communication skills for both technical and non-technical audiences, with the ability to independently craft and deliver strategic technical reports and presentations to executive leadership.
Ability to make data-driven architectural decisions and effectively balance technical debt with new feature development.
Experience with building engineering roadmaps and setting long-term design strategies that span multiple development lifecycles.

Responsibilities

Design and implement architectural solutions for the CECM platform, ensuring enterprise-grade scalability, reliability, performance, maintainability, and security.
Lead the architectural design of complex distributed systems.
Establish and champion technical standards, overarching architectural principles, frameworks, and best practices for the CECM platform, driving continuous improvement and innovation.
Collaborate extensively with cross-functional teams and act as a critical liaison across the broader engineering organization to ensure seamless integration with other platform services and drive technical alignment.
Mentor and provide technical guidance to engineers and data scientists, fostering their technical development and contributing to high-level technical discussions to cultivate a culture of engineering excellence.
Evaluate, research, and introduce new technologies and architectural patterns, leading prototyping efforts to shape the future evolution of the CECM platform architecture.
Define and track key technical metrics for platform health and performance, applying deep expertise to resolve complex real-time challenges and ensure highly available services.