
10.000+ Mitarbeiter
Gegründet 1982
🏗️ Bauwesen
🏭 Fertigung
💼 Beratung
Construction • Manufacturing • Consulting
Autodesk ist ein weltweit führender Anbieter von Software für Designerinnen und Designer, Ingenieurinnen und Ingenieure, Baufachleute und Kreative. Das Unternehmen bietet eine umfassende Suite von Design- und Engineering-Anwendungen, darunter bekannte Produkte wie AutoCAD, Revit und 3ds Max. Über die Design and Make Platform unterstützt Autodesk Fachleute in unterschiedlichsten Branchen dabei, Projekte effizient zu entwerfen, zu visualisieren und zu verwalten – und fördert so Innovation und Nachhaltigkeit in Architektur, Ingenieurwesen, Bauwesen und Fertigung.
🕒 vor 3 Tagen
🤠 Texas – Remote
💵 $117.000 - $209.330 / Jahr
⏰ Vollzeit
🟠 Senior
🧑💻 Full-Stack-Entwickler
👻 Geisterscore 0%
🗣️🇺🇸🇬🇧 Englisch erforderlich
AWS
Cloud
Distributed Systems
Docker
DynamoDB
Gradle
Java
Jenkins
Kafka
Maven
Microservices
Python
Spring
Spring Boot
SpringBoot
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10.000+ Mitarbeiter
Gegründet 1982
🏗️ Bauwesen
🏭 Fertigung
💼 Beratung
Construction • Manufacturing • Consulting
Autodesk ist ein weltweit führender Anbieter von Software für Designerinnen und Designer, Ingenieurinnen und Ingenieure, Baufachleute und Kreative. Das Unternehmen bietet eine umfassende Suite von Design- und Engineering-Anwendungen, darunter bekannte Produkte wie AutoCAD, Revit und 3ds Max. Über die Design and Make Platform unterstützt Autodesk Fachleute in unterschiedlichsten Branchen dabei, Projekte effizient zu entwerfen, zu visualisieren und zu verwalten – und fördert so Innovation und Nachhaltigkeit in Architektur, Ingenieurwesen, Bauwesen und Fertigung.
• Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS • Own business features and platform initiatives end to end, from requirements analysis through production support • Collaborate with product and engineering partners on design, testing, and operational readiness • Enhance resiliency, reliability, scalability, and security; optimize performance and troubleshoot production issues • Implement engineering best practices across development and delivery pipelines • Lead medium-to-large project delivery by organizing scope, estimating effort, establishing timelines, and driving initiatives independently • Apply spec-driven development in platform and feature delivery • Build and extend agentic systems and automation, including composable skills, MCP integrations, and knowledge retrieval • Deliver proactive triage and write-action automation with human-in-the-loop gates • Enforce production standards for agentic systems through evaluation, CI quality gates, and end-to-end observability • Provide production support, lead incident response and root cause analysis, and participate in shared on-call rotation • Support production systems outside standard business hours according to team schedule • Mentor engineers and uphold sound engineering practices • Report to the Senior Engineering Manager and collaborate with Product Managers, Architects, Domain Leads, and cross-functional stakeholders
• Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience • 6+ years of progressive software engineering experience building and operating Java microservices and serverless architectures in production • Strong Java and Spring Boot skills • Unit, integration, and system testing experience • Strong debugging in local and integrated environments • Hands-on experience building or integrating AI-powered systems, including agents, LLM-based applications, RAG, or tool-calling workflows • Experience with spec-driven development (SDD) • Experience with event-driven streaming such as Kinesis or Kafka • Experience with Docker and AWS containers, including ECS Fargate • Experience with CI/CD using Jenkins or GitHub Actions • Experience with core AWS services including Lambda, DynamoDB, messaging, API gateways, logging, and monitoring • Strong collaboration and communication skills • Preferred: Python and FastAPI; MCP servers or equivalent tool-use frameworks • Preferred: RAG, proactive or event-driven agents, and agentic AI for engineering workflows, operational automation, or DevOps • Preferred: LLM evaluation frameworks, multi-agent patterns, and human-in-the-loop review gates • Preferred: Kinesis/Kafka streaming, REST publish, SNS/SQS/DLQ patterns, Gradle or Maven, OpenTelemetry, and AI tracing tools • Preferred: OPA, OAuth, Entra ID, and Responsible AI practices
• Annual cash bonuses may be included • Stock grants may be included • Comprehensive benefits package • Health and financial benefits • Time away and everyday wellness benefits • In-person onboarding and/or in-person ID verification may be provided or required
Jetzt Bewerben🕒 vor 3 Tagen
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🗣️🇺🇸🇬🇧 Englisch erforderlich