Lead Software Engineer, Foundations
Posted 18hrs ago
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Software Engineer developing scalable cloud infrastructure at Salesforce. Collaborating on engineering best practices and optimizing deployment velocity and system reliability.
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 our 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
Requirements:
- 7+ 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:
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
















