Cloud Development Environment Engineer

Salesforce•San Francisco, CA

40d•$141,200 - $194,200•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. 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. Agentforce is the future of AI, and you are the future of Salesforce. We are a cutting-edge AI First technology organization dedicated to improving developer productivity in cloud development environments. Our mission is to build a robust Cloud development platform that enhances build and development cycles, empowering developers to achieve seamless performance and productivity. We are seeking a proactive and expert Software Engineer to join our AI-First organization. You will be instrumental in designing, building, and optimizing the next generation of cloud development platforms, focusing on embedding AI capabilities directly into development workflows. This role emphasizes not just building platforms, but orchestrating scalable, intelligent solutions that significantly amplify developer productivity through hybrid human-AI collaboration.

Requirements

5+ years of software engineering experience, with a focus on building developer tools or platforms.
Proficiency in high level programming languages like Java, GoLang, Python, Javascript or Typescript; familiarity with scripting languages like Bash is a plus.
Strong experience with AWS, GCP or Azure, including services like EC2, S3, etc.
Strong experience in container technologies (Docker, Kubernetes) and their integration with cloud development platforms.
Understanding of developer workflows, build processes, and CI/CD pipelines.
Proven ability to work in agile teams and communicate effectively with technical and non-technical stakeholders.

Nice To Haves

Knowledge of secure software practices and performance tuning for distributed systems.
Passion for improving developer productivity and experience.
Proven ability to learn new technologies and adapt to evolving project needs.
Experience with agile development methodologies (Scrum, Kanban).
Strong problem-solving skills and a proactive approach to identifying and resolving issues.
Excellent communication and collaboration skills, with a track record of working effectively within a team.
Contributions to open-source projects or personal coding projects are a plus.
Demonstrated commitment to writing clean, maintainable, and well-documented code.

Responsibilities

Architect, develop, and implement core platform components that integrate with approved AI models and MCP gateway to create highly efficient, end-to-end developer workflows, enabling Hybrid Development Workflows.
Proactively identify systemic bottlenecks in workflows and enhance AI agent capabilities by writing clear, structured prompts and communicating system context effectively to produce quality output.
Critically evaluate, audit, and validate AI-generated code, designs, and documentation, ensuring security, performance, and adherence to architectural standards (Critical Evaluation & Validation).
Engineer scalable, reliable, and efficient remote development environments on cloud platforms (AWS/GCP/Azure), including designing intelligent CI/CD frameworks.
Function as a 'multiplier' by championing and building AI tools and capabilities, ensuring other engineers can leverage them for rapid software development and issue remediation.
Use high-level programming languages (Java, GoLang, Javascript, Python, TypeScript) to build, refine, and secure AI-driven developer productivity tools.
Stay updated on advancements in AI-driven developer productivity tools, agent orchestration, and emerging cloud technologies.
Maintain high standards of software quality through code reviews, testing, and automation.