{"id":2894968,"url":"https://alion.io/job/salesforce-production-support-engineering-cloud-devops-engineer-smts","title":"Production Support Engineering - Cloud DevOps Engineer SMTS","company":{"id":70,"name":"Salesforce","domain":"salesforce.com","url":"https://alion.io/company/salesforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":366,"ghost_share":0.008,"stale_share":0.661,"repost_share":0.044,"time_to_fill_p50_days":29,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":148500,"max":223900,"currency":"USD","period":"year","gross":null,"usd_annual":223900},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"HBase","optional":false},{"name":"Helm","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"Grafana","optional":true},{"name":"IAM","optional":true},{"name":"Incident Management","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Prometheus","optional":true},{"name":"Service Mesh","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-24T04:58:04Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"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.\nJob Category\nSoftware EngineeringJob Details\nAbout Salesforce\nSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.\nReady to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.\nRole Description\nWe are looking for a Cloud & DevOps Engineer, Senior Member of Technical Staff (SMTS), to design, build, automate, and operate reliable, secure, and scalable cloud infrastructure and production platforms. You will work with software engineers, infrastructure teams, security partners, and product teams. Your work will improve service availability, deployment reliability, operational efficiency, and developer productivity.\nThe ideal candidate has strong experience with public cloud and cloud-native technologies, infrastructure automation, CI/CD, observability, and production operations. They also have practical software development experience in Python, Java, Go, or another programming language. This is an engineering-focused DevOps role. We expect automation and software development to replace repetitive manual operations.\nYou approach ambiguous infrastructure and production problems methodically. You understand system behavior across application and infrastructure layers. You use modern engineering practices, including AI-assisted development, to improve reliability, automation, and delivery effectiveness.\nRequired Qualifications\n6+ years of experience in a senior or lead role in Cloud DevOps engineering.\nExperience in performance engineering and benchmarking.\nExperience designing, deploying, or operating production workloads on public cloud platforms such as AWS, Azure, or Google Cloud Platform.\nExperience developing production software in Core Java, Python, or another object-oriented programming language.\nStrong understanding of cloud infrastructure concepts, including compute, storage, networking, load balancing, identity and access management, security, high availability, and disaster recovery.\nExperience with containerization and cloud-native technologies such as Docker, Kubernetes, or comparable container orchestration platforms.\nExperience with Infrastructure as Code and configuration automation using tools such as Terraform, CloudFormation, Ansible, Helm, or comparable tooling.\nExperience building, maintaining, or improving CI/CD pipelines and automated build, test, deployment, and release workflows.\nDevelopment or automation experience using Python, Go, Java, or another programming language. You can build maintainable, production-quality automation, tools, services, or APIs.\nFamiliarity with databases (Postgres, HBase, Oracle, or similar) and database cluster technologies such as Oracle RAC (Real Application Clusters).\nExperience with Linux systems and working knowledge of operating systems, networking, process, memory, storage, and performance fundamentals.\nExperience with production observability using logs, metrics, traces, dashboards, and alerting platforms.\nUnderstanding of distributed-system and reliability concepts, including scalability, fault tolerance, resiliency, service dependencies, capacity, availability, and performance.\nExperience troubleshooting complex production issues across application, infrastructure, networking, and cloud layers.\nExperience working across the software and infrastructure delivery lifecycle: design, implementation, testing, deployment, monitoring, incident response, and continuous improvement.\nExperience using AI-assisted development tools or techniques for automation, software development, troubleshooting, testing, debugging, or documentation.\nStrong analytical and problem-solving skills, including the ability to diagnose complex infrastructure and production problems systematically.\nEffective written and verbal communication skills and the ability to collaborate across engineering and operational teams.\nPreferred Qualifications\nExperience operating large-scale distributed systems or high-availability production platforms.\nExperience with Kubernetes ecosystem technologies, service discovery, ingress, service mesh, autoscaling, or container platform engineering.\nExperience building internal developer platforms, self-service infrastructure, deployment frameworks, or operational automation.\nExperience developing backend services, APIs, command-line tools, controllers, operators, or automation frameworks.\nExperience with Site Reliability Engineering (SRE) practices, including service level objectives (SLOs), service level indicators (SLIs), error budgets, capacity management, and incident management.\nExperience with cloud security, IAM, secrets management, vulnerability management, policy enforcement, and infrastructure security controls.\nExperience with observability technologies such as Prometheus, Grafana, OpenTelemetry, Splunk, or comparable platforms.\nExperience with databases, caching systems, messaging platforms, or distributed data infrastructure.\nFamiliarity with multi-region, multi-cloud, disaster recovery, or large-scale cloud migration architectures.\nFamiliarity with Agile development practices and iterative release cycles.\nResponsibilities\nDesign, build, automate, and operate secure, reliable, and scalable cloud infrastructure and production platforms.\nIndependently deliver well-scoped cloud, DevOps, reliability, and automation improvements after alignment on the overall technical plan and architecture.\nDevelop software, automation frameworks, scripts, APIs, and engineering tools in Python, Go, Java, or comparable languages. These reduce manual operations and improve platform reliability.\nBuild and maintain Infrastructure as Code for repeatable provisioning, configuration, deployment, and lifecycle management of cloud resources.\nDevelop and improve CI/CD pipelines that automate build, testing, security validation, deployment, rollback, and release processes.\nDeploy and operate containerized workloads using Kubernetes or comparable cloud-native platforms.\nApply cloud and distributed-systems concepts such as scalability, fault tolerance, service communication, networking, availability, resiliency, and capacity management.\nBuild and improve observability using metrics, logs, traces, dashboards, alerts, and health checks. These give the team actionable visibility into production systems.\nDiagnose production incidents using telemetry and system-level analysis. Identify contributing factors and root causes, and implement improvements that prevent recurrence.\nIdentify repetitive operational activities and convert them into safe, testable, and maintainable automation.\nParticipate in production support and incident response. This includes troubleshooting complex issues across application, cloud, Kubernetes, networking, storage, and infrastructure layers.\nContribute to infrastructure and platform design discussions, identify implementation and operational tradeoffs, and seek guidance when decisions have broader architectural, security, or product impact.\nApply security and reliability practices throughout infrastructure and software delivery, including access controls, secrets management, change validation, testing, rollback, and deployment safeguards.\nParticipate in the full engineering lifecycle: requirements refinement, design, development, code review, testing, deployment, monitoring, production support, and operational improvement.\nUse 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.\nCollaborate 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.\nUnleash Your Potential\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando 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.\nAccommodations\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\nPlease note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.\nPosting Statement\nSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.\nIn 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.\n\nThe 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.\n\nThe range represents base salary on...","description_format":"text","description_chars":12101,"description_truncated":true,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marine & Ocean Engineering","Marketing Automation","AI Agents","Team Communication & Collaboration"],"lifecycle":[{"event":"open","at":"2026-10-20T04:17:10Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.628,"p_room":1,"age_days":5,"expected_fill_days":29,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":223900,"is_top_pay":true},"html_url":"https://alion.io/job/salesforce-production-support-engineering-cloud-devops-engineer-smts","json_url":"https://alion.io/job/salesforce-production-support-engineering-cloud-devops-engineer-smts.json","meta":{"generated_at":"2026-10-25T05:53:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8096,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":70},"rest":"https://alion.io/mcp/rest/get_company?id=70"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsalesforce-production-support-engineering-cloud-devops-engineer-smts"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsalesforce-production-support-engineering-cloud-devops-engineer-smts"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsalesforce-production-support-engineering-cloud-devops-engineer-smts"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/salesforce-production-support-engineering-cloud-devops-engineer-smts\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsalesforce-production-support-engineering-cloud-devops-engineer-smts"}]}