Production Support Engineering - Cloud DevOps Engineer SMTS

Salesforce, California - San Francisco

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Overview

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Software Engineering

Job Details

Nice to have

Experience operating large-scale distributed systems or high-availability production platforms.
Experience with Kubernetes ecosystem technologies, service discovery, ingress, service mesh, autoscaling, or container platform engineering.
Experience building internal developer platforms, self-service infrastructure, deployment frameworks, or operational automation.
Experience developing backend services, APIs, command-line tools, controllers, operators, or automation frameworks.
Experience with Site Reliability Engineering (SRE) practices, including service level objectives (SLOs), service level indicators (SLIs), error budgets, capacity management, and incident management.
Experience with cloud security, IAM, secrets management, vulnerability management, policy enforcement, and infrastructure security controls.
Experience with observability technologies such as Prometheus, Grafana, OpenTelemetry, Splunk, or comparable platforms.
Experience with databases, caching systems, messaging platforms, or distributed data infrastructure.
Familiarity with multi-region, multi-cloud, disaster recovery, or large-scale cloud migration architectures.
Familiarity with Agile development practices and iterative release cycles.

What You'll Actually Be Doing

Design, build, automate, and operate secure, reliable, and scalable cloud infrastructure and production platforms.
Independently deliver well-scoped cloud, DevOps, reliability, and automation improvements after alignment on the overall technical plan and architecture.
Develop software, automation frameworks, scripts, APIs, and engineering tools in Python, Go, Java, or comparable languages. These reduce manual operations and improve platform reliability.
Build and maintain Infrastructure as Code for repeatable provisioning, configuration, deployment, and lifecycle management of cloud resources.
Develop and improve CI/CD pipelines that automate build, testing, security validation, deployment, rollback, and release processes.
Deploy and operate containerized workloads using Kubernetes or comparable cloud-native platforms.
Apply cloud and distributed-systems concepts such as scalability, fault tolerance, service communication, networking, availability, resiliency, and capacity management.

Nice to have

Experience operating large-scale distributed systems or high-availability production platforms.
Experience with Kubernetes ecosystem technologies, service discovery, ingress, service mesh, autoscaling, or container platform engineering.
Experience building internal developer platforms, self-service infrastructure, deployment frameworks, or operational automation.
Experience developing backend services, APIs, command-line tools, controllers, operators, or automation frameworks.
Experience with Site Reliability Engineering (SRE) practices, including service level objectives (SLOs), service level indicators (SLIs), error budgets, capacity management, and incident management.
Experience with cloud security, IAM, secrets management, vulnerability management, policy enforcement, and infrastructure security controls.
Experience with observability technologies such as Prometheus, Grafana, OpenTelemetry, Splunk, or comparable platforms.
Experience with databases, caching systems, messaging platforms, or distributed data infrastructure.
Familiarity with multi-region, multi-cloud, disaster recovery, or large-scale cloud migration architectures.
Familiarity with Agile development practices and iterative release cycles.

What You'll Actually Be Doing

Design, build, automate, and operate secure, reliable, and scalable cloud infrastructure and production platforms.
Independently deliver well-scoped cloud, DevOps, reliability, and automation improvements after alignment on the overall technical plan and architecture.
Develop software, automation frameworks, scripts, APIs, and engineering tools in Python, Go, Java, or comparable languages. These reduce manual operations and improve platform reliability.
Build and maintain Infrastructure as Code for repeatable provisioning, configuration, deployment, and lifecycle management of cloud resources.
Develop and improve CI/CD pipelines that automate build, testing, security validation, deployment, rollback, and release processes.
Deploy and operate containerized workloads using Kubernetes or comparable cloud-native platforms.
Apply cloud and distributed-systems concepts such as scalability, fault tolerance, service communication, networking, availability, resiliency, and capacity management.

You're Our Person If

6+ years of experience in a senior or lead role in Cloud DevOps engineering.
Experience in performance engineering and benchmarking.
Experience designing, deploying, or operating production workloads on public cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience developing production software in Core Java, Python, or another object-oriented programming language.
Strong understanding of cloud infrastructure concepts, including compute, storage, networking, load balancing, identity and access management, security, high availability, and disaster recovery.
Experience with containerization and cloud-native technologies such as Docker, Kubernetes, or comparable container orchestration platforms.
Experience with Infrastructure as Code and configuration automation using tools such as Terraform, CloudFormation, Ansible, Helm, or comparable tooling.
Experience building, maintaining, or improving CI/CD pipelines and automated build, test, deployment, and release workflows.
Development or automation experience using Python, Go, Java, or another programming language. You can build maintainable, production-quality automation, tools, services, or APIs.
Familiarity with databases (Postgres, HBase, Oracle, or similar) and database cluster technologies such as Oracle RAC (Real Application Clusters).
Experience with Linux systems and working knowledge of operating systems, networking, process, memory, storage, and performance fundamentals.
Experience with production observability using logs, metrics, traces, dashboards, and alerting platforms.
Understanding of distributed-system and reliability concepts, including scalability, fault tolerance, resiliency, service dependencies, capacity, availability, and performance.
Experience troubleshooting complex production issues across application, infrastructure, networking, and cloud layers.
Experience working across the software and infrastructure delivery lifecycle: design, implementation, testing, deployment, monitoring, incident response, and continuous improvement.
Experience using AI-assisted development tools or techniques for automation, software development, troubleshooting, testing, debugging, or documentation.
Strong analytical and problem-solving skills, including the ability to diagnose complex infrastructure and production problems systematically.
Effective written and verbal communication skills and the ability to collaborate across engineering and operational teams.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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Posting Statement

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Overview

Nice to have

What You'll Actually Be Doing

Overview

Nice to have

What You'll Actually Be Doing

You're Our Person If

Unleash Your Potential

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