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Qualified

Lead Software Engineer, Foundations

Qualified

Senior Software Engineer developing scalable cloud infrastructure at Salesforce. Collaborating on engineering best practices and optimizing deployment velocity and system reliability.

Posted 5/21/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $172,500 - $260,100 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoGrafanaKubernetesPostgresPrometheusPythonRDBMSRubySQLTerraformTypeScript

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
GoPythonTypescriptRubyAWSGoogle CloudAzureTerraformKubernetesSQL
Soft Skills
leadershipmentoringcommunicationflexibilityefficiency