{"schemaVersion":"jobsearcher.job.v1","id":"277a49f7958b2a6ce776e85a","url":"https://jobsearcher.com/jobs/277a49f7958b2a6ce776e85a","canonicalUrl":"https://jobsearcher.com/jobs/277a49f7958b2a6ce776e85a","title":"Software Developer Advanced for Support Engineering","description":"Software Developer Advanced for Support Engineering\r\nSiemens Digital Industries Software | Posted Mar 9 | Full-time | Charlotte | Negotiable | Advanced (5-10 yrs)\r\nWe are a leading global software company dedicated to the world of computer-aided design, 3D modeling and simulation—helping innovative global manufacturers design better products, faster! With the resources of a large company and the energy of a software start-up, we have fun together while creating a world-class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.\r\nPosition Overview\r\nAs part of the Siemens cloud operations organization, this position contributes to the delivery of best-in-class cloud-based applications. The developer will design, develop, maintain and support internal tools and offerings, focusing on automating routine tasks and improving the developer experience.\r\nResponsibilities\r\nPlatform Development & Operations\r\nDesign, develop and customize platforms to serve as developer portals for internal teams.\r\nIntegrate R&D tools and services for seamless developer onboarding experience.\r\nContainer Orchestration, Infrastructure as Code & CI/CD Pipelines\r\nUse Infrastructure as Code best practices to create automated infrastructure within cloud and on-premise platforms.\r\nImplement and maintain CI/CD tools and processes to support development, QA, and customer value realization teams.\r\nManage service-critical codebase with version control using Git including GitLab or GitHub.\r\nSupport Engineering\r\nProvide L1 support: respond to service requests, perform basic troubleshooting, access management, and monitor system health dashboards.\r\nProvide L2 support: conduct in-depth technical analysis, troubleshoot complex platform issues, perform log analysis and debugging.\r\nProvide L3 support: lead major incident response, conduct comprehensive root cause analysis (RCA), and implement permanent solutions.\r\nParticipate in on-call rotation to provide 24×7 support coverage for production systems.\r\nDevelop and maintain support tools, scripts, runbooks, and knowledge base articles.\r\nTrack and report on support metrics including ticket volume, resolution time, SLA compliance, and customer satisfaction.\r\nAI-Powered Support & Intelligent Automation\r\nImplement AI-driven incident triage, classification, and automated ticket routing systems.\r\nDevelop intelligent chatbots and virtual assistants to handle L1 support queries and provide instant resolution.\r\nBuild AI-powered anomaly detection and predictive models to proactively identify potential failures.\r\nImplement automated root cause analysis using AI/ML to accelerate troubleshooting and reduce MTTR.\r\nCreate self-healing automation workflows using AI to detect, diagnose, and remediate common issues.\r\nBuild RAG (Retrieval-Augmented Generation) systems for intelligent knowledge base search and troubleshooting guidance.\r\nImplement intelligent alert correlation systems to reduce alert fatigue and improve signal-to-noise ratio.\r\nLeverage AI for automated incident report generation, post-mortem analysis, and preventive action recommendations.\r\nEducation and Experience\r\nBachelor's degree in Computer Science, Engineering, or equivalent.\r\n6–8 years of related experience.\r\n3 years of Software Development Life Cycle (SDLC) experience.\r\n3 years of experience delivering enterprise-grade cloud and SaaS applications.\r\n2+ years of experience in production support engineering with L2/L3 support responsibilities.\r\nRequired Skills\r\nCore Technical Skills\r\nAWS certification and Kubernetes certification.\r\nStrong proficiency in Java, Python and Go.\r\nHands-on experience with Kubernetes, Docker, cloud platforms (AWS or Azure).\r\nProficient in API development (RESTful and GraphQL), microservices architecture.\r\nExpertise in GitLab/GitHub, CI/CD pipelines, DevOps practices, and infrastructure automation.\r\nExpertise in automation/configuration management tools (Terraform, Ansible, Jenkins, ArgoCD).\r\nFamiliar with Spring Boot, React, TypeScript, Node.js, and package management tools (NPM, Yarn, Maven, Gradle).\r\nSupport Engineering & Troubleshooting\r\nProven experience in L1/L2/L3 support for enterprise cloud applications and infrastructure.\r\nStrong troubleshooting skills for complex distributed systems and microservices architectures.\r\nExperience with incident management tools (ServiceNow, Jira Service Management, PagerDuty).\r\nProficiency in log analysis and monitoring tools (ELK Stack, Splunk, Datadog, CloudWatch, Grafana).\r\nExpertise in debugging production issues in containerized environments and Kubernetes clusters.\r\nExperience with APM tools (New Relic, Dynatrace, AppDynamics).\r\nExperience conducting root cause analysis and implementing corrective actions.\r\nStrong documentation skills for creating runbooks, troubleshooting guides, and knowledge base articles.\r\nAI & Machine Learning for Support Operations\r\nFamiliarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) with focus on operational use cases.\r\nExperience with LLM APIs (OpenAI, Azure OpenAI, AWS Bedrock) for building intelligent support tools.\r\nKnowledge of prompt engineering for creating AI-powered support assistants and chatbots.\r\nUnderstanding of anomaly detection algorithms and their application to system monitoring.\r\nExperience implementing predictive analytics for incident forecasting and capacity planning.\r\nKnowledge of NLP for automated ticket classification and sentiment analysis.\r\nUnderstanding of vector databases and semantic search for intelligent knowledge base retrieval.\r\nKnowledge of AIOps platforms and intelligent event correlation techniques.\r\nProfessional Skills\r\nExcellent problem-solving skills and attention to detail.\r\nStrong communication skills with the ability to present technical concepts to business audiences.\r\nHigh knowledge of SDLC, application integration, and production support.\r\nStrong customer service orientation with focus on user satisfaction.\r\nExperience working in Agile/Scrum development environments.\r\nStrong communication skills with peers, partners, and customers.\r\nHigh knowledge of production support skills.\r\nAbility to communicate complex technical concepts clearly and effectively.\r\nAbility to remain calm and effective during high-pressure situations and critical outages.\r\nPreferred Skills\r\nCloud monitoring tools (Datadog, CloudWatch, Grafana, Kibana) and CI/CD pipeline tools (Artifactory, SonarQube, Vault, Aqua).\r\nKnowledge of SRE principles, observability best practices, and distributed tracing (Jaeger, Zipkin).\r\nExperience with chaos engineering tools (Chaos Monkey, Gremlin) and disaster recovery procedures.\r\n2+ years implementing AI/ML solutions in production support environments.\r\nExperience building AI-powered chatbots for IT support and service desk automation.\r\nHands-on experience with AIOps platforms (Moogsoft, BigPanda, Dynatrace).\r\nExperience with AI agent frameworks (LangChain, LangGraph, AutoGen) for support.\r\nAutomation\r\nKnowledge of RAG architectures and Model Context Protocol (MCP) for AI integration.\r\nThis position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR) and requires either verification of U.S. Person status or obtaining any necessary export license.\r\nJ-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Charlotte","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:12:07.695Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Developer Advanced for Support Engineering","description":"Software Developer Advanced for Support Engineering\r\nSiemens Digital Industries Software | Posted Mar 9 | Full-time | Charlotte | Negotiable | Advanced (5-10 yrs)\r\nWe are a leading global software company dedicated to the world of computer-aided design, 3D modeling and simulation—helping innovative global manufacturers design better products, faster! With the resources of a large company and the energy of a software start-up, we have fun together while creating a world-class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.\r\nPosition Overview\r\nAs part of the Siemens cloud operations organization, this position contributes to the delivery of best-in-class cloud-based applications. The developer will design, develop, maintain and support internal tools and offerings, focusing on automating routine tasks and improving the developer experience.\r\nResponsibilities\r\nPlatform Development & Operations\r\nDesign, develop and customize platforms to serve as developer portals for internal teams.\r\nIntegrate R&D tools and services for seamless developer onboarding experience.\r\nContainer Orchestration, Infrastructure as Code & CI/CD Pipelines\r\nUse Infrastructure as Code best practices to create automated infrastructure within cloud and on-premise platforms.\r\nImplement and maintain CI/CD tools and processes to support development, QA, and customer value realization teams.\r\nManage service-critical codebase with version control using Git including GitLab or GitHub.\r\nSupport Engineering\r\nProvide L1 support: respond to service requests, perform basic troubleshooting, access management, and monitor system health dashboards.\r\nProvide L2 support: conduct in-depth technical analysis, troubleshoot complex platform issues, perform log analysis and debugging.\r\nProvide L3 support: lead major incident response, conduct comprehensive root cause analysis (RCA), and implement permanent solutions.\r\nParticipate in on-call rotation to provide 24×7 support coverage for production systems.\r\nDevelop and maintain support tools, scripts, runbooks, and knowledge base articles.\r\nTrack and report on support metrics including ticket volume, resolution time, SLA compliance, and customer satisfaction.\r\nAI-Powered Support & Intelligent Automation\r\nImplement AI-driven incident triage, classification, and automated ticket routing systems.\r\nDevelop intelligent chatbots and virtual assistants to handle L1 support queries and provide instant resolution.\r\nBuild AI-powered anomaly detection and predictive models to proactively identify potential failures.\r\nImplement automated root cause analysis using AI/ML to accelerate troubleshooting and reduce MTTR.\r\nCreate self-healing automation workflows using AI to detect, diagnose, and remediate common issues.\r\nBuild RAG (Retrieval-Augmented Generation) systems for intelligent knowledge base search and troubleshooting guidance.\r\nImplement intelligent alert correlation systems to reduce alert fatigue and improve signal-to-noise ratio.\r\nLeverage AI for automated incident report generation, post-mortem analysis, and preventive action recommendations.\r\nEducation and Experience\r\nBachelor's degree in Computer Science, Engineering, or equivalent.\r\n6–8 years of related experience.\r\n3 years of Software Development Life Cycle (SDLC) experience.\r\n3 years of experience delivering enterprise-grade cloud and SaaS applications.\r\n2+ years of experience in production support engineering with L2/L3 support responsibilities.\r\nRequired Skills\r\nCore Technical Skills\r\nAWS certification and Kubernetes certification.\r\nStrong proficiency in Java, Python and Go.\r\nHands-on experience with Kubernetes, Docker, cloud platforms (AWS or Azure).\r\nProficient in API development (RESTful and GraphQL), microservices architecture.\r\nExpertise in GitLab/GitHub, CI/CD pipelines, DevOps practices, and infrastructure automation.\r\nExpertise in automation/configuration management tools (Terraform, Ansible, Jenkins, ArgoCD).\r\nFamiliar with Spring Boot, React, TypeScript, Node.js, and package management tools (NPM, Yarn, Maven, Gradle).\r\nSupport Engineering & Troubleshooting\r\nProven experience in L1/L2/L3 support for enterprise cloud applications and infrastructure.\r\nStrong troubleshooting skills for complex distributed systems and microservices architectures.\r\nExperience with incident management tools (ServiceNow, Jira Service Management, PagerDuty).\r\nProficiency in log analysis and monitoring tools (ELK Stack, Splunk, Datadog, CloudWatch, Grafana).\r\nExpertise in debugging production issues in containerized environments and Kubernetes clusters.\r\nExperience with APM tools (New Relic, Dynatrace, AppDynamics).\r\nExperience conducting root cause analysis and implementing corrective actions.\r\nStrong documentation skills for creating runbooks, troubleshooting guides, and knowledge base articles.\r\nAI & Machine Learning for Support Operations\r\nFamiliarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) with focus on operational use cases.\r\nExperience with LLM APIs (OpenAI, Azure OpenAI, AWS Bedrock) for building intelligent support tools.\r\nKnowledge of prompt engineering for creating AI-powered support assistants and chatbots.\r\nUnderstanding of anomaly detection algorithms and their application to system monitoring.\r\nExperience implementing predictive analytics for incident forecasting and capacity planning.\r\nKnowledge of NLP for automated ticket classification and sentiment analysis.\r\nUnderstanding of vector databases and semantic search for intelligent knowledge base retrieval.\r\nKnowledge of AIOps platforms and intelligent event correlation techniques.\r\nProfessional Skills\r\nExcellent problem-solving skills and attention to detail.\r\nStrong communication skills with the ability to present technical concepts to business audiences.\r\nHigh knowledge of SDLC, application integration, and production support.\r\nStrong customer service orientation with focus on user satisfaction.\r\nExperience working in Agile/Scrum development environments.\r\nStrong communication skills with peers, partners, and customers.\r\nHigh knowledge of production support skills.\r\nAbility to communicate complex technical concepts clearly and effectively.\r\nAbility to remain calm and effective during high-pressure situations and critical outages.\r\nPreferred Skills\r\nCloud monitoring tools (Datadog, CloudWatch, Grafana, Kibana) and CI/CD pipeline tools (Artifactory, SonarQube, Vault, Aqua).\r\nKnowledge of SRE principles, observability best practices, and distributed tracing (Jaeger, Zipkin).\r\nExperience with chaos engineering tools (Chaos Monkey, Gremlin) and disaster recovery procedures.\r\n2+ years implementing AI/ML solutions in production support environments.\r\nExperience building AI-powered chatbots for IT support and service desk automation.\r\nHands-on experience with AIOps platforms (Moogsoft, BigPanda, Dynatrace).\r\nExperience with AI agent frameworks (LangChain, LangGraph, AutoGen) for support.\r\nAutomation\r\nKnowledge of RAG architectures and Model Context Protocol (MCP) for AI integration.\r\nThis position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR) and requires either verification of U.S. Person status or obtaining any necessary export license.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:12:07.695Z","dateModified":"2026-06-25T01:12:07.695Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"277a49f7958b2a6ce776e85a"},"url":"https://jobsearcher.com/jobs/277a49f7958b2a6ce776e85a"}}