Salesforce

Software Engineering SMTS

Salesforce
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1 day ago

Base Salary

$149k - $246k/yr

Responsibilities

  • Design, build, automate, and operate secure, reliable, and scalable cloud infrastructure and production platforms.
  • Develop software, automation frameworks, scripts, APIs, and engineering tools in Python, Go, Java, or comparable languages.
  • Build and maintain Infrastructure as Code for provisioning, configuration, deployment, and lifecycle management of cloud resources.
  • Develop CI/CD pipelines for automated build, testing, security validation, deployment, rollback, and release workflows.
  • Deploy and operate containerized workloads using Kubernetes or comparable cloud-native platforms.
  • Build observability with metrics, logs, traces, dashboards, alerts, and health checks.
  • Diagnose production incidents, identify root causes, and implement improvements to prevent recurrence.
  • Participate in production support, incident response, infrastructure design discussions, and the full engineering lifecycle.
  • Apply security, reliability, access-control, secrets-management, testing, rollback, and deployment-safeguard practices.
  • Use AI-assisted development tools to accelerate automation, troubleshooting, testing, code quality, and engineering productivity.
  • Collaborate with software engineering, infrastructure, security, and cross-functional teams while documenting technical decisions and runbooks.

Requirements

  • At least 6 years of experience designing and building production software.
  • Strong programming experience across frontend, backend, APIs, data stores, and distributed-system boundaries.
  • Experience deploying or operating production workloads on AWS, Azure, Google Cloud Platform, or comparable public clouds.
  • Experience with Java, Python, Go, or another programming language for production-quality automation, tools, services, or APIs.
  • Understanding of cloud infrastructure, compute, storage, networking, load balancing, IAM, security, high availability, and disaster recovery.
  • Experience with Docker, Kubernetes, or comparable container orchestration platforms.
  • Experience using AI development tools or techniques for automation, software development, troubleshooting, testing, debugging, and documentation.
  • Experience with Infrastructure as Code and configuration automation using Terraform, CloudFormation, Ansible, Helm, or comparable tools.
  • Experience building or improving CI/CD pipelines and automated build, test, deployment, and release workflows.
  • Familiarity with Postgres, HBase, Oracle, Oracle RAC, or similar database technologies.
  • Experience with Linux systems and operating-system, networking, process, memory, storage, and performance fundamentals.
  • Experience with production observability, distributed systems, reliability concepts, and troubleshooting across application, infrastructure, networking, and cloud layers.
  • Strong analytical, problem-solving, written communication, verbal communication, and cross-functional collaboration skills.
  • Preferred: experience with large-scale distributed systems, internal developer platforms, self-service infrastructure, deployment frameworks, backend services, APIs, controllers, operators, or automation frameworks.
  • Preferred: advanced prompt engineering and experience with Kubernetes ecosystem technologies, SRE practices, cloud security, IAM, secrets management, vulnerability management, observability, distributed data infrastructure, multi-region or multi-cloud architectures, or large-scale cloud migrations.

Benefits

  • Salesforce offers time-off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
  • The posting states that incentive compensation, equity, and additional benefits may apply depending on the role.
  • The base salary range is stated separately and is not included here as a benefit.

Tech Stack

Categories

Salesforce

About Salesforce

10,000+ employees

Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.

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