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Senior Information Security Infrastructure Engineer Jobs

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Explore current senior information security infrastructure engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

E
Elastic
📍 Poland• PLN 307.8K – PLN 486.9K/yr
8 days ago

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

javascripttypescriptreact
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E
8 days ago

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

javascripttypescriptreact
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E
Elastic
📍 Portugal• €55.8K – €88.3K/yr
8 days ago

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

javascripttypescriptreact
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E
8 days ago

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

javascripttypescriptreact
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E
14 days ago

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

javaaic++
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E
14 days ago

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

javaaic++
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E
14 days ago

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

javaaic++
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E
15 days ago

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. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

E
15 days ago

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. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

E
15 days ago

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. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

E
15 days ago

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 Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
15 days ago

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 Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
15 days ago

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 Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
View job →
E
15 days ago

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 Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
View job →

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 Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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