Description
Join a high-ownership, high-velocity engineering team working at the frontier of AI and modern software development. As a Software Engineer on the Foundations team, you'll build the infrastructure and critical systems that power Salesforce's operations , highly scalable cloud infrastructure, robust CI/CD pipelines, advanced observability, and top-tier engineering tools.
Responsibilities:
- 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 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.
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 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.).
- B.S. or Master's degree in Computer Science, or equivalent work experience.
Benefits:
- Time off programs
- Medical, dental, vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program