Senior / Lead / Principal Software Engineer - Foundations Team (Infrastructure/Platform)
SalesforceAbout the role
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Job Category
Software EngineeringJob Details
About Salesforce
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.
Note: By applying to the Senior / Lead / Principal Software Engineer - Foundations Team posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.
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About the Foundations Team
Join a high-ownership, high-velocity engineering team working at the frontier of AI and modern software development. We operate with the pace of a startup backed by the scale and stability of a global enterprise — with true end-to-end ownership across architecture, implementation, deployment, and continuous improvement.
You'll work alongside a high-talent-density team that cares deeply about performance, reliability, and engineering excellence — driving architecture decisions, solving large-scale distributed systems challenges, and building foundational infrastructure that enables great customer experiences.
Overview
As a Software Engineer on the Foundations team, you'll build the infrastructure and critical systems that power our operations — highly scalable cloud infrastructure, robust CI/CD pipelines, advanced observability, and top-tier engineering tools. Your work will increase deployment velocity, raise our quality bar, and support complex, real-time customer interactions.
What You'll Do
Architect & Build: Lead the design and implementation of secure, fault-tolerant, and highly available cloud infrastructure on public cloud services.
System Optimization: Continuously improve system performance, identify bottlenecks, and deploy optimizations for smooth operation at scale for highly-trafficked services.
CI/CD Evolution: Lead the evolution of our Continuous Integration and Deployment pipelines in a multi-service environment, reducing complexity and increasing resilience.
Infrastructure Management: Plan and execute timely infrastructure upgrades and changes using infrastructure-as-code to enable faster execution, improved scale, and increased cost efficiency.
Observability: Leverage tools like DataDog, Sentry, and others to monitor system infrastructure, configure alerts for anomalies, and proactively ensure system health.
Documentation & Standards: Define, promote, and maintain runbooks, operating procedures, and system architecture diagrams. Uphold high standards of quality through rigorous testing and code reviews.
Mentorship: Act as a force multiplier by providing technical guidance, mentoring other engineers, and fostering a culture of engineering excellence.
Agility: Embrace a culture of flexibility and efficiency, moving fast to capture opportunities while wearing multiple hats in a startup environment
What We're Looking For
Experience: 5+ years of experience in professional software development with a strong emphasis on backend systems, cloud platforms, and infrastructure.
Languages: Proficiency in programming languages such as Go, Python, Typescript, or Ruby.
Cloud & Infrastructure: Deep experience architecting secure solutions on cloud-based infrastructure (e.g., AWS, Google Cloud, or Azure).
Infrastructure as Code (IaC): Proven experience in automated provisioning using tools like Terraform, CDK, CloudFormation, or Pulumi.
Containerization: Experience with automated deployments using container orchestration technologies such as Kubernetes, AWS ECS, or Docker.
Observability Tools: Strong hands-on experience with monitoring and logging tools such as DataDog, Prometheus, Grafana, or ELK.
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