Senior Software Engineer – Foundations Team, Infrastructure/Platform

🕒 May 23

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Salesforce

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• 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 • Lead the evolution of our Continuous Integration and Deployment pipelines in a multi-service environment • Plan and execute timely infrastructure upgrades and changes using infrastructure-as-code • Leverage tools like DataDog, Sentry, and others to monitor system infrastructure • Define, promote, and maintain runbooks, operating procedures, and system architecture diagrams • Provide technical guidance, mentoring other engineers, and fostering a culture of engineering excellence • Embrace a culture of flexibility and efficiency, moving fast to capture opportunities

🎯 Requirements

• 5+ years of experience in professional software development • 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.)

🏖️ Benefits

• General benefits including health insurance, 401(k), and paid parental leave • Wellbeing reimbursement • Adoption assistance • Fertility benefits

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