Senior Cloud DevOps Engineer (SMTS)

Salesforce, Inc.; San Francisco (CA); On-site; USD 149,000 - 224,000; Full time

Job summary

Salesforce, Inc. is seeking a Cloud & DevOps Engineer, Senior Member of Technical Staff to design, build, automate, and operate secure, scalable cloud infrastructure and production platforms.

You will collaborate with software engineers, infra, security, and product teams to improve availability and developer productivity. The ideal candidate has deep experience with AWS/Azure/GCP, automation, CI/CD, and production operations, plus programming in Python/Java/Go.

Qualifications

• 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.

Responsibilities

• 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.
• Build and improve observability using metrics, logs, traces, dashboards, alerts, and health checks. These give the team actionable visibility into production systems.
• Diagnose production incidents using telemetry and system-level analysis.
• Identify contributing factors and root causes, and implement improvements that prevent recurrence.
• Identify repetitive operational activities and convert them into safe, testable, and maintainable automation.
• Participate in production support and incident response. This includes troubleshooting complex issues across application, cloud, Kubernetes, networking, storage, and infrastructure layers.
• Contribute to infrastructure and platform design discussions, identify implementation and operational tradeoffs, and seek guidance when decisions have broader architectural, security, or product impact.
• Apply security and reliability practices throughout infrastructure and software delivery, including access controls, secrets management, change validation, testing, rollback, and deployment safeguards.
• Participate in the full engineering lifecycle: requirements refinement, design, development, code review, testing, deployment, monitoring, production support, and operational improvement.
• Use AI-assisted development tools responsibly to accelerate automation and engineering work, improve code and configuration quality, assist troubleshooting and testing, and increase team effectiveness.
• Apply appropriate security and quality controls.
• Collaborate effectively with software engineers, infrastructure teams, security teams, and other cross-functional partners.
• Communicate technical and operational decisions clearly, and contribute to engineering documentation and runbooks.

Skills

Cloud DevOps

Public Cloud

CI/CD

Programming

Infrastructure as Code

Observability

Linux Systems

Security & IAM

Distributed Systems

Automation

Tools

Docker

Kubernetes

Terraform

CloudFormation

Ansible

Helm

Job description

Salesforce, Inc. is seeking a Cloud & DevOps Engineer, Senior Member of Technical Staff to design, build, automate, and operate secure, scalable cloud infrastructure and production platforms.

You will collaborate with software engineers, infra, security, and product teams to improve availability and developer productivity. The ideal candidate has deep experience with AWS/Azure/GCP, automation, CI/CD, and production operations, plus programming in Python/Java/Go.