Role Description Für unseren Kunden suchen wir einen Java/ Spring Boot Developer (w/m/d) mit Erfahrung mit Spark, Flink, Kubernetes, Docker und Kafka. - Erstellung von sauberem, effizientem Code auf Grundlage von Spezifikationen und Richtlinien. - Entwicklung von Programmen und Systemen in Java. - Reparatur und Verbesserung bestehender Software für das zugewiesene Projekt. - Analyse und Bearbeitung definierter Incident-Fälle innerhalb des vereinbarten Leistungsumfangs. - Technische Abstimmung über definierte Schnittstellen mit benannten Ansprechpartnern. - Entwicklung intuitiver Software, die die Bedürfnisse des Unternehmens erfüllt und übertrifft. - Analyse und Test produktiver Programme und Produkte vor dem Release. - Gewährleistung der Softwaresicherheit durch die Entwicklung von Programmen zur aktiven Überwachung des Austauschs privater Informationen. - Durchführung definierter Migrations- und Übergangsleistungen zur Überführung der Software. - Erbringung definierter Betriebs- und Wartungsleistungen der Software auf Kubernetes Infrastruktur (DevOps). - Analyse und Behebung komplexer technischer Fehler entsprechend definierter Eskalationsfälle (3rd Level). - Verbesserung der bestehenden Betriebsprozess durch ergänzen und ausbauen des bestehenden Monitorings sowie von Deployment pipelines in Azure DevOps Umgebungen. - Ggf, Realisierung von Anforderungen im Front-End. Qualifications - 8+ Kenntnisse in der Java-Entwicklung und den umliegenden Technologien. - 8+ Kenntnisse in Spring Boot oder ähnlichem (Quarkus, JakartaEE). - 6+ Erfahrung mit Docker und Kubernetes. - 6+ Erfahrung mit Kafka und/oder Kafka Streams. - Erfahrung mit SPARK, Flink. - Erforderliche Sprachen: Deutsch und Englisch fließend (beide C1). Requirements - Sehr gute Kenntnisse in der Java-Entwicklung und den umliegenden Technologien. - Konzeptionelle Kenntnisse in den Bereichen Software Design Patterns, Continuous Integration und Security. - Breites technisches Wissen, um die technologische Landschaft von Auftraggebern voranzubringen. - Gewohnt in der Arbeit mit großen Datenmengen und Erfahrung mit Datenbanken (sowohl relational als auch nicht-relational). - Fließende Kenntnisse in anderen Programmiersprachen sind von Vorteil. - OpenShift und/oder ähnliche Cloud-Technologien (Azure) sind von Vorteil. - Kenntnisse über Stromnetze und -netze sowie Energiemärkte helfen, das Hauptgeschäft zu verstehen. - Erfahrung mit Windows und Linux.

Role Description Avalara is an AI-first company. Every engineer is expected to apply AI to improve speed, quality, automation, customer outcomes, and operational scale. AI is embedded into how we build products, operate services, and deliver customer value. Success at Avalara requires using AI as a core engineering capability — not an optional tool. As a Software Development Engineer, Backend on the Returns team, you will help modernize and scale Avalara’s Returns-as-a-Service (RaaS) ingestion platform that powers tax return preparation, filing workflows, and emerging AI-driven Returns experiences. This role exists to accelerate Avalara’s ability to ingest, validate, normalize, and operationalize increasingly complex tax data at scale while improving reliability, automation, and customer trust. You will: - Design and deliver scalable backend systems, APIs, ingestion pipelines, and operational tooling that improve filing accuracy, reduce operational friction, and enable faster onboarding of new data sources and filing capabilities. - Partner across engineering, product, operations, and platform teams to build systems that support Avalara’s long-term AI-first Returns strategy. - Elevate Avalara by improving platform scalability, operational efficiency, and customer outcomes while helping establish engineering and AI practices that raise the performance of the broader organization. - Demonstrate Bar Raiser behaviors through strong ownership, engineering rigor, customer focus, and continuous improvement of systems, processes, and team capability. You will report to the Director of Engineering, Returns-as-a-Service Framework. This is a remote opportunity. This role is not eligible for visa sponsorship. Qualifications - B.S. in Computer Science or Engineering. - 5+ years of relevant experience designing, building, and operating production-grade backend systems and distributed platforms. - Experience building scalable APIs, ingestion pipelines, data processing systems, and cloud-native services in modern engineering environments. - Strong experience with C#/.NET and modern software engineering practices including CI/CD, automated testing, secure development, and reliability engineering. - Experience operating workloads in AWS, including networking, IAM, observability, security, and cloud operational best practices. - Demonstrated ability to improve operational excellence through monitoring, troubleshooting, automation, scalability, and defect reduction initiatives. - Hands-on experience applying AI-assisted development tools and workflows to improve engineering speed, quality, automation, or operational effectiveness. - Experience integrating with or leveraging generative AI technologies such as OpenAI, Bedrock, Vertex, or Hugging Face, including practical understanding of prompt design, token optimization, rate limits, and retrieval-based patterns. - Strong ownership mindset with the ability to simplify complex systems, drive measurable outcomes, and improve the performance of teams and platforms over time. - Ability to demonstrate applied AI impact through measurable examples tied to engineering efficiency, automation, customer experience, quality improvement, or operational scale. Requirements - Demonstrated track record of using AI to drive measurable improvements in engineering productivity, software quality, operational efficiency, customer outcomes, or platform scalability. - Hands-on experience leveraging AI-assisted development tools and workflows across coding, testing, debugging, documentation, code review, operational analysis, and automation. - Experience integrating with or leveraging generative AI technologies such as OpenAI, Bedrock, Vertex, or Hugging Face, including practical understanding of prompt engineering, token optimization, rate limiting, evaluation approaches, and retrieval-augmented generation (RAG) patterns. - Ability to identify and implement AI-driven opportunities that reduce manual effort, accelerate delivery, improve data quality, strengthen operational intelligence, or enhance customer experiences. - Demonstrated judgment in applying AI responsibly, including awareness of data privacy, security, governance, reliability, and accuracy considerations in production systems. - Ability to quantify AI impact through measurable business or engineering outcomes such as reduced operational costs, faster issue resolution, improved development velocity, increased automation coverage, or higher platform reliability. - Proven ability to elevate the AI capabilities of peers and teams through mentorship, knowledge sharing, experimentation, and establishment of scalable AI engineering best practices. - Strong ownership mindset with the ability to simplify complex systems, drive measurable business outcomes, and consistently raise engineering standards across teams and platforms. - Demonstrated Bar Raiser behaviors through high accountability, strong technical judgment, continuous improvement, and a track record of leaving systems, processes, and teams stronger than they were found. Benefits - Total Rewards: In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. - Health & Wellness: Benefits vary by location but generally include private medical, life, and disability insurance. - Inclusive culture and diversity: Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture.

Role Description - Design and build tools that enable partner teams to interact more easily with the system. - Work with engineers across the company to launch new products or features. - Design, build, and maintain APIs, services, and systems across Stripe’s engineering teams. - Debug production issues across services and multiple levels of the stack. - Improve engineering standards, tooling, and processes. - Design and build tools and software that reduce friction in meeting onboarding requirements. Qualifications - Bachelor's degree or foreign equivalent in Computer Science or a related field. - 5 years of Software Engineering experience. Requirements - 5 years of experience in building software solutions at scale in Python, Ruby, Java, or similar. - 5 years of experience in making trade-offs between user experience and technical constraints. - 5 years of experience in translating business requirements into software designs. - 5 years of experience in debugging production issues across services and multiple levels of the stack. - 5 years of experience in building and maintaining production systems. Benefits - Equity, company bonus or sales commissions/bonuses. - 401(k) plan. - Medical, dental, and vision benefits. - Wellness stipends.

• Develop, customize, and maintain high-performance Adobe Experience Manager (AEM) solutions to power large-scale digital experiences. • Build, configure, and optimize custom AEM components, editable templates, modular workflows, and intuitive content structures. • Partner closely with UX/UI designers, content strategists, marketing leads, and technical teams to translate business requirements into website features. • Debug, isolate, and resolve technical issues across various AEM environments (development, staging, and production). • Support ongoing code deployments, environment configurations, and release management activities within the delivery lifecycle. • Ensure exceptional code quality, security, and performance while participating in proactive platform tuning and optimization initiatives. • Actively participate in technical design discussions, providing architectural recommendations and structured documentation for platform enhancements.