Platform)

Salesforce•Seattle, WA

22d•$148,500 - $313,700

About The Position

Salesforce is seeking a Senior / Lead / Principal Software Engineer for its Foundations Team, which operates at the intersection of AI and modern software development. This team has end-to-end ownership of architecture, implementation, deployment, and continuous improvement, working with the pace of a startup backed by a global enterprise. The role involves building foundational infrastructure, including scalable cloud infrastructure, CI/CD pipelines, advanced observability, and engineering tools, to enhance deployment velocity, quality, and support complex customer interactions.

Requirements

5+ years of experience in professional software development with a strong emphasis on backend systems, cloud platforms, and infrastructure.
Proficiency in programming languages such as Go, Python, Typescript, or Ruby.
Deep experience architecting secure solutions on cloud-based infrastructure (e.g., AWS, Google Cloud, or Azure).
Proven experience in automated provisioning using infrastructure as code tools like Terraform, CDK, CloudFormation, or Pulumi.
Experience with automated deployments using container orchestration technologies such as Kubernetes, AWS ECS, or Docker.
Strong hands-on experience with monitoring and logging tools such as DataDog, Prometheus, Grafana, or ELK.
Familiarity with SQL, RDBMS (PostgreSQL preferred), and data warehousing solutions (e.g., ClickHouse).
Proficiency in AI-assisted software development (e.g., Claude, Cursor, etc.); capable of leveraging these tools to significantly accelerate output from day one.
B.S. or Master’s degree in Computer Science, or equivalent work experience.

Responsibilities

Lead the design and implementation of secure, fault-tolerant, and highly available cloud infrastructure on public cloud services.
Continuously improve system performance, identify bottlenecks, and deploy optimizations for smooth operation at scale for highly-trafficked services.
Lead the evolution of Continuous Integration and Deployment pipelines in a multi-service environment, reducing complexity and increasing resilience.
Plan and execute timely infrastructure upgrades and changes using infrastructure-as-code to enable faster execution, improved scale, and increased cost efficiency.
Leverage tools like DataDog, Sentry, and others to monitor system infrastructure, configure alerts for anomalies, and proactively ensure system health.
Define, promote, and maintain runbooks, operating procedures, and system architecture diagrams.
Uphold high standards of quality through rigorous testing and code reviews.
Act as a force multiplier by providing technical guidance, mentoring other engineers, and fostering a culture of engineering excellence.
Embrace a culture of flexibility and efficiency, moving fast to capture opportunities while wearing multiple hats in a startup environment.