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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing • Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs • Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents • Deeply understand the AI Agent market, major players, trends and how it may impact our strategy • Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities • Work with design to build user experiences that address gaps in how agents show and refine context as they work • Be the product expert and evangelize capabilities for Agent Builder through content like blog posts and open source projects • Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers What You Bring • Extensive Experience: 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products. A consistent record of leading sophisticated, data-intensive products from inception through launch and iterative growth. • AI and ML Fluency: Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering. You are comfortable working closely with engineers and data scientists to solve intricate technical challenges. • Bias to action: You are able to move fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions. • Leadership and Influence: Demonstrated ability to lead across a matrixed organization, align multiple stakeholders toward a common vision, and drive execution in a fast-paced, remote-first environment. • Communication Excellence: Outstanding spoken and written communication skills. You can distill complex engineering details into compelling narratives for both technical and non-technical audiences, including executive leadership. • Customer Obsession: A passion for industry trends and a commitment to solving real-world customer problems. You are an advocate for the developer persona and are dedicated to building products that empower users to innovate. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €104.800 — €165.700 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is the Role We are on the lookout for a Senior Software Engineer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure. The team’s mission is to create foundational infrastructure and shared functionality that enables engineers to develop, extend, and support Elasticsearch. The team owns common functionality such as services, settings, and scripting, and makes Elasticsearch extensible through plugins or the Painless scripting language. The team also makes Elasticsearch observable by providing logging and telemetry information. We also own the orchestration of Elasticsearch in serverless, the CI/CD workflows, and enable Elasticsearch developers to deliver Elasticsearch to customers - serverless, cloud, and on-premise alike. You will be a strong individual contributor on the team, but you will also contribute to and lead cross-team projects. We need someone who has great design skills, who can work at a low level of abstraction but can equally drive and communicate technical concepts across a variety of collaborators. What You Will Be Doing • Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch. • Making Elasticsearch developers more productive by identifying and developing opportunities for automation, and integrating agentic apps into development workflows. • Designing and implementing new horizontally-scalable features and APIs in Elasticsearch. • Solving difficult issues, including performance or concurrency issues, and proposing solutions. • Improving operation and observability of Elasticsearch cloud systems. • Collaborating in the open with the ES team, Elastic users, and other supporting open source projects. • Supporting our support engineers with the harder problems. • Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring • Experience crafting APIs and the ability to reason through tradeoffs. • Proficient in algorithms and data structures. • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. • Experience with low-level Java such as concurrency, parallelism, classloaders, etc. • Hands-on experience with CI/CD systems and practices (Buildkite, Argo CD, GitOps etc). • Experience leading large scale projects across engineering teams. • Willingness to dive into new issues and ask for help when you need it. • You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities • You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Bonus Points • Knowledge of JDK internals: modules, the Java memory model, garbage collection, database load, caching techniques, etc. • Experience with observability and telemetry solutions, particularly OpenTelemetry • Knowledge of Go • Knowledge of containers and Kubernetes • Knowledge of Java build tools (Gradle, Maven, etc), with a strong preference for Gradle experience. • Experience working in a platform team or developer productivity team Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure, data structures, and retrieval algorithms to ensure we’re building the most efficient and powerful foundations for our users. You’ll work closely with our partners and product teams to understand their needs and help shape the long-term technical vision for search at Elastic. You’ll bring your past experience with large-scale search systems to drive an innovative roadmap for Elasticsearch’s indexing, query execution, and relevance layers. As an authority in several areas of Elasticsearch, you’ll be the go-to expert for those domains, continuously improving them through your insights and instincts. What You Will Bring: • Experience leading technical projects in the search infrastructure and distributed systems space. You bring proven knowledge in building and operating sophisticated search platforms and engineering robust, high-performance software systems. • Experience mentoring expert engineers, providing both technical and professional guidance. • Experience defining a long-term technical vision for a core search or retrieval system, working across teams and organizations to collaboratively shape the technical roadmap. • Hands-on experience with search and indexing technologies such as Elasticsearch, Lucene, or Solr, • Strong skills in core Java and familiarity with advanced data structures and concurrency constructs, as well as newer language features like lambdas. You have a strong desire to optimize and leverage the most efficient algorithms and search data structures. • Able to work with a high level of autonomy, tackling projects and guiding them from concept to completion, including both technical design and collaboration with other engineers to develop the necessary components. • Experience with large-scale data or search systems such as Elasticsearch, Lucene, Solr, or distributed storage engines, and an understanding of how they work and why they work that way. • Excellent verbal and written communication skills. Collaborating across distributed teams is challenging, we value being supportive, empathetic, and trusting in all interactions, and we expect the same from everyone on the team. Bonus Points • You've built things with Elasticsearch before, and you have experience in the search and information retrieval space and understand the constructs and theory behind it. • Experience working with open source projects and familiar with different styles of source control workflow and continuous integration. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing • Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. • Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware. • Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch. • Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts. • Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself. • Write idiomatic modern Java -- Elasticsearch is 99.8% Java! What You Bring Along • Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas. • You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components. • You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software. • You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. • You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too. • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities • You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Bonus Points • You've built things with Elasticsearch before. • You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration. • Experience with data storage technology. • You have experience designing, leading and owning cross-functional initiatives Compensation for this role is in the form of base salary. This role does not have a variable compensation …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing • Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. • Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware. • Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch. • Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts. • Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself. • Write idiomatic modern Java -- Elasticsearch is 99.8% Java! What You Bring Along • You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval. • Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas. • You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components. • You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software. • You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. • You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too. • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities • You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Bonus Points • You've built things with Elasticsearch before. • You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration. • Experience with data storage …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Principal Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: • Leveraging your deep distributed systems expertise to design, build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. • Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. • Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. • Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. • Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. • Supporting our support engineers with the harder problems. • Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring: • You have a deep background in distributed systems and consensus algorithms. • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. • You have a deep technical proficiency in algorithms. • You have experience building large-scale distributed systems, rather than making use of off-the-shelf services. • You have experience building and debugging complex features with a broad impact, running on multiple machines. • You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. • You have experience managing projects involving multiple engineers. • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities • You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Bonus Points: • Data stores • Search, analytics, Lucene • Strong knowledge of the JDK • Asynchronous event-driven network frameworks such as Netty Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000 — €106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: • Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. • Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. • Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. • Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. • Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. • Supporting our support engineers with the harder problems. • Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring: • You have a deep background in distributed systems and consensus algorithms. • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. • You have a deep technical proficiency in algorithms. • You have shown your ability to understand and work on complex, highly distributed systems, rather than making use of off-the-shelf services. • You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. • You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities. • You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Bonus Points: • Data stores • Search, analytics, Lucene • Strong knowledge of the JDK • Asynchronous event-driven network frameworks such as Netty. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €55.800 — €88.300 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible …

Wen wir suchen Als IT-Unternehmen mit Sitz in Ismaning unterstützen wir unsere Kunden bei der Umsetzung konkreter technischer Lösungen für organisatorische, technologische und betriebswirtschaftliche Herausforderungen. Wir nutzen die hohe Innovationsgeschwindigkeit der IT, um für unsere Kunden im öffentlichen sowie privatwirtschaftlichen Sektor eine nachhaltig digitalisierte Zukunft zu schaffen. Hierfür arbeiten wir mit unseren kompetenten und hoch motivierten Kollegen an ganzheitlichen Lösungen. Ihr Aufgabengebiet • Aufbau, Konfiguration und Betrieb von Elastic Search-Plattformen in komplexen On-Premises-Umgebungen • Administration, Wartung und kontinuierliche Optimierung des Elastic Stacks (Elasticsearch, Kibana, Logstash, Beats und Elastic Agent) hinsichtlich Verfügbarkeit, Performance und Skalierbarkeit • Integration von Elastic Connectors, Datenquellen und Schnittstellen zu Drittsystemen zur Anbindung und Verarbeitung unterschiedlicher Datenquellen • Automatisierung von Infrastruktur-, Konfigurations- und Betriebsprozessen unter Einsatz von Ansible, Terraform sowie weiterer Infrastructure-as-Code- und Automatisierungswerkzeuge • Konzeption, Implementierung und Betrieb von CI/CD-Pipelines zur Automatisierung von Build-, Test- und Deployment-Prozessen • Administration und Betrieb von Red Hat Enterprise Linux (RHEL) einschließlich Systempflege, Patchmanagement und Performanceoptimierung • Konfiguration und Verwaltung von TLS/SSL, Zertifikaten sowie Umsetzung von Maßnahmen zur Systemhärtung und Gewährleistung eines sicheren Plattformbetriebs • Überwachung der Plattform mittels Monitoring- und Logging-Lösungen sowie Analyse und Behebung von Betriebsstörungen und Performanceproblemen • Durchführung von Release-, Change- und Deployment-Aktivitäten sowie Unterstützung bei Wartungsfenstern und Systemmigrationen • Erstellung und Pflege technischer Dokumentationen, Betriebs- und Architekturkonzepte sowie Standard Operating Procedures (SOPs) • Zusammenarbeit mit Entwicklungs-, Infrastruktur- und Security-Teams zur kontinuierlichen Weiterentwicklung der Elastic-Plattform und der DevOps-Prozesse • Sicherstellung der Einhaltung von Betriebs-, Sicherheits- und Compliance-Anforderungen sowie kontinuierliche Optimierung der Plattform hinsichtlich Stabilität, Automatisierung und Betriebseffizienz Ihre Expertise • Fundierte Erfahrung im Aufbau, der Administration und dem Betrieb von Elastic Search-Plattformen in On-Premises-Umgebungen • Umfassende Kenntnisse in der Integration von Elastic Connectors, Datenquellen sowie Schnittstellen zu Drittsystemen zur Verarbeitung und Analyse strukturierter und unstrukturierter Daten • Erfahrung in der Automatisierung von Infrastruktur- und Betriebsprozessen unter Einsatz von Ansible, Terraform oder vergleichbaren Infrastructure-as-Code- und Automatisierungswerkzeugen • Fundierte Kenntnisse in der Konfiguration, Überwachung und Administration von IT-Infrastrukturen sowie des Elastic Stacks (Elasticsearch, Kibana, Logstash, Beats und Elastic Agent) • Nachweisbare Erfahrung in der Konzeption, Implementierung und dem Betrieb von CI/CD-Pipelines zur Automatisierung von Entwicklungs-, Test- und Bereitstellungsprozessen • Erfahrung im Monitoring (Prometheus oder Grafana) • Erfahrung mit Hochverfügbarkeits- und Backup-Konzepten für Elastic-Umgebungen • Sehr gute Kenntnisse in der Administration und dem Betrieb von Red Hat Enterprise Linux (RHEL) in Enterprise-Umgebungen • Fundierte Erfahrung im Bereich TLS/SSL, Zertifikatsmanagement, Systemhärtung sowie der Umsetzung von Maßnahmen zur Erhöhung der Betriebssicherheit und IT-Sicherheit • Erfahrung in der Sicherstellung von Hochverfügbarkeit, Performance, Skalierbarkeit und Monitoring komplexer Such- und Analyseplattformen • Ausgeprägte analytische Fähigkeiten sowie Erfahrung in der Fehleranalyse, Performanceoptimierung und kontinuierlichen Weiterentwicklung von Plattform- und Betriebsprozessen • Deutsch Muttersprache oder mindestens C1 Deutsch • Englisch B1 Unser Angebot Wir geben Ihnen weitreichende Gestaltungsmöglichkeiten und lassen Sie selbständig arbeiten – in einem Umfeld mit flachen Hierarchien und in dem Sie konstant gefordert werden. Unser Arbeitsklima ist geprägt von persönlicher Wertschätzung, gegenseitigem Respekt, Loyalität und Ehrlichkeit. • Hoch motiviertes Umfeld in einer zukunftsorientierten Branche und dynamisch wachsenden Unternehmensgruppe • Anspruchsvolle Tätigkeit in spannenden Kundenprojekten • Festanstellung mit einer 40-h-Woche • Bezuschussungen/Benefits (ab dem 7. Monat): 50 € Internet, 40 € Spendit Card, 75 € bAV, KITA bis zu 150 €, 30 Tage Urlaub, 24./31.12. Firmenfeiertage, 1 Mental Health Day/Jahr • Intensives Onboarding mit Einblick hinter die Kulissen aller Business Units, feedback-Gespräche etc. • Vielfältige Entwicklungsmöglichkeiten Ihr DIGIT4U BS Ansprechpartner für diese Position: Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen mit Motivationsschreiben, …

Anstellungsdetails Permanent Contract, Full-or Part-Time, Remote or Cologne / Düsseldorf / Darmstadt / Berlin Info Who we are We are the tech powerhouse behind Kaufland’s international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within flat hierarchies, we develop the best marketplace solutions for our customers, sellers and partners. #FromEuropeForEurope Day by day, our Tech & Product Team of about 400 experts pursues the goal of creating the best possible customer shopping experience for our online marketplace. Through innovative technical developments, they not only create an outstanding shopping experience but also lay the foundation for an optimal selling experience for our sellers. Learn more about our division, areas, and cross-functional teams here ! Aufgaben Your tasks – this is what awaits you in detail • As a Staff Search Engineer (all genders) your goal is to bring our search to the next level for our customers • Improving our relevance: Writing faster queries, improving data quality of ingested data and by making decisions on better vs. worse relevancy - you understand our searches inside out to make and share informed decisions • Enriching our ingestion architecture: Consuming change events, updating Elasticsearch mappings and indexing into new fields, ensuring we are able to index into a single document from multiple sources • Efficient integration: We are not alone in a huge stack like this - this can be enhanced by better mapping, faster retrieval of recently changed data or adding a field, so we can boost our searches more efficiently • Data modelling: Understanding its implications and effects on indexing and querying • Performance enhancement: You are always on the lookout, keeping our search speed as fast as possible • Safety first: With everything you touch and design, you keep resiliency in mind as a key theme in a microservice environment. You know what circuit breakers and bulk heads are and only use caches when they make sense. You favour exponential backoff over CrashLoopBackoff - a lot! • Our team tech stack consists of Kubernetes, gRPC, Typescript, the latest Node.js major version, Elasticsearch, a bit of MongoDB, Kafka and last but not least, we are using DataDog for monitoring Profil Your profile – this is what we expect from you • You have relevant experience of 7+ years as a Search Engineer • Y ou know how a (distributed) search engine works and have gained experience with one of the more well known search engines in the market • You bring the skills to run, monitor, debug, and operate our Elasticsearch cluster and applications and always write well tested and reviewed code • You don't believe, you know: You do not guess and are well equipped with tangible facts and figures, we run A/B tests for validation and expect you to come up with proper metrics of success and failure for a search feature • You are curious about the latest developments in tech and the search space in general (semantic search, NLP, LLMs, vectors, hybrid search, machine learning are all on our roadmap, especially with performance in mind) • We're a team and do not appreciate a bus factor of 1: You have the desire to help others, share your knowledge and mentor others • You are willing to go the extra mile to make your team successful, you give honest feedback, able to discuss, commit and execute • You have excellent written and spoken English skills Benefits What we offer • Create your own work-life balance: You have the flexibility to choose between working remotely (within Germany) or from one of our locations in Cologne, Darmstadt, Düsseldorf, or in Berlin! • Urban Sports Club and RSG Group Fitness Studios : Get top deals for fitness, swimming, yoga and more • Mental Well-Being: We support you on your well-being journey with special offerings such as Instahelp, the digital platform for online psychological counseling • Vacation & Sabbatical: Enjoy 30 days of vacation per year and the opportunity to take a sabbatical once you have been part of the team for a certain period! • Option for Pluxee restaurant vouchers : Buy Pluxee vouchers through us and benefit from tax-advantaged meal allowances! • ‘ Deutschlandticket’: We subsidize your train season ticket for more mobility • Employee Discount: You will receive a monthly coupon for Kaufland.de • Free choice of hardware: Mac or Lenovo, it's up to you • Boost your growth: Benefit from our online language learning programs, diverse in-house training, and our automated 360-degree feedback • This is who we are: Our dynamic culture combines flat hierarchies, a start-up mentality, an international team of over 65 nationalities, and the strength of the Schwarz Group to provide you an agile and secure working environment. • We are team players : From day one, you will connect not only with your team but also with others through our …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Software Engineer on our Control Plane - Hosted team, you will be responsible for technical design and work in key functional areas of Elastic’s Cloud offerings. You will participate in coding, crafting solutions, debugging sophisticated failure scenarios, and prioritizing bug fixes and features. You’ll analyze the current system, its strength and limitations. What You Will Be Doing • Guide cross-team technical designs and help create a team-wide high level architecture • Lead best practices for development, ensuring a reliable, scalable foundation and an engaging user experience for our customers • Contribute and lead technical plans and direction within our team and across other product teams in Elastic • Be part of a distributed team of engineers from all across the globe • Collaborate with other teams within Elastic. Examples include helping Support engineers in diagnosing problems or advising the Elasticsearch engineers with designing new features What You Bring • 5+ years of experience as a software engineer, with a track record of delivering high-quality code • Previous experience providing pragmatic technical leadership for a group of engineers • Knowledge of back-end languages such as Scala, Java or Go • Technical depth in one or more technologies relevant for SaaS (orchestration, networking, containers, etc.) • Passion for automation and quality • Are eligible to work in DoD Impact Level 5 Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €62.800 — €81.600 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible locations and schedules for many roles • Generous number of vacation days each year • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service • Up to 40 hours each year to use toward volunteer projects you love • Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use. Are you the kind of person who is keen on sharing technology with the world and supporting our global user-base? Your activities as a Senior Developer Advocate with a focus on content creation include : • Publish deep-dive videos that connect search, vector databases, and agentic workflows. Or covers observability with logs, metrics, and traces including the OpenTelemetry perspective. • Stay up to date with the latest trends in search and AI or observability to cover what's new and exciting for our users. • Build open-source demos and example applications on GitHub that combine Elasticsearch with developer and AI tools. • Contribute to Elasticsearch Labs and our YouTube channel. The DevRel team's mission is to educate and help our users succeed by being an expert in Elasticsearch and the Search + AI or observability ecosystem. If you read this far and think: "that's me!" — You probably won't need to read any further, and we should have a conversation. But if you doubt the experience we expect you to have, the following should help clarify. What You Will Be Doing : • Create high-quality technical videos focused on search, AI/ML, observability and Elasticsearch as a platform. This covers foundational concepts, sophisticated use-cases, and research trends. • Explore and explain how Elasticsearch integrates with other tools and protocols in the ecosystems (e.g., LLMs, frameworks, OpenTelemetry and Cloud providers). • Prototype and publish sample applications showing end-to-end Search + AI or observability use cases. • Bring a creative twist to Elastic's content creation to keep existing users engaged and capture new audiences. • Provide feedback to product and engineering teams based on your hands-on experience and community interactions. What You Bring : • A proven track record of creating highly technical and engaging videos — share your best work with us! This is mandatory in the application . • Strong technical background and experience in an engineering role. • Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible. • Comfortable working with a highly distributed team. • Experience working self-driven and self-organizing. • Excellent spoken and written communication skills in English. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €59.000 — €93.400 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible locations and schedules for many roles • Generous number of vacation days each year • Increase your impact - …

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Software Engineer to join our Streams UI team, where you'll have the chance to shape and enhance our user interface, making it more intuitive and engaging for our users. In this role, you'll work on Fleet. Fleet is the central management experience for Elastic Agent in Kibana. You'll also work on Streams. Streams is our new tool for handling log data. This includes ingesting, organizing, parsing, enriching, and setting retention for the data. You will be part of a skilled group of engineers and designers. You will contribute your expertise and learn from others. If you enjoy tackling complex challenges and want to make a meaningful impact on our product, we’d love to hear from you. What You Will Be Doing • Design and implement intuitive user interface components that enhance user commitment, using TypeScript, React, and Node.js. Integrate front-end elements seamlessly with back-end services to ensure a smooth user experience. Conduct usability testing and gather user feedback to drive continuous improvements. • Own complex, loosely-defined problems end-to-end: shape the approach, split the work if needed, make the key technical decisions, and deliver. • Lead discussions on architecture and system design. During these discussions, consider trade-offs. Also, think about backwards compatibility, performance, and scale. • Establish coding standards and ensure the team adheres to them throughout the development process. Promote reusable components to improve efficiency and implement automated testing and deployment to maintain code quality. Evaluate new technologies for potential integration and document best practices to facilitate team-wide knowledge sharing. • Conduct thorough code reviews to ensure adherence to coding standards and best practices. Offer constructive feedback and identify potential security vulnerabilities in the codebase. Focus on maintaining code readability and facilitate discussions with team members to address any findings from the code review. • Collaborate async across timezones with a fully-distributed team, working in the open on GitHub and in Slack. • Partner closely with designers and product managers to apprehend user experience goals and translate their mockups into functional UI components. Ensure a consistent visual design across all UI elements. Participate in brainstorming sessions to generate innovative ideas for enhancing the user interface. What You Bring • Solid production experience with full-stack JavaScript, preferably TypeScript ; React on the front end and Node.js on the back end. Some experience with Reactflow is a plus. • A track record of leading non-trivial projects end-to-end, with real design ownership and minimal guidance. • Proficient architecture and system-design judgment, including in large, existing codebases. • Successfully designed and launched multiple user interface components that significantly increased user commitment • You should have experience using AI-assisted development tools. These tools can help you develop features faster, fix complex systems, and improve existing codebases. • Exemplary written and verbal communication, and a genuine excitement for async collaboration and knowledge-sharing. • A multiplier mindset ! you make the engineers around you better. • A generalist streak and a user-focused mindset, with consideration for the people using your software. Bonus Points • Experience with the Elastic stack, observability tooling, or log/data-ingestion pipelines. • Go, Kubernetes, or cloud-native application development experience. • Experience building large user interfaces that manage a lot of data. This includes skills in search, filtering, and tables. You should also have experience working with streaming or real-time data. • Prior open-source / working-in-the-open experience, or time on a developer-facing platform team. • Experience mentoring engineers or leading a small project team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and …