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Principal Software Developer designs and optimizes Elasticsearch's core storage and query engine for observability workloads, focusing on performance, scalability, and Java-based solutions.
Principal Software Engineer to lead the design and optimization of Elasticsearch's core storage and query engine, focusing on performance, scalability, and Java-based solutions for observability workloads.
Lead Elastic’s global security services practice, designing security offerings, guiding complex implementations, and aligning solutions with product roadmaps and industry trends.
Lead proactive threat hunting and adversary emulation to uncover hidden threats and stress-test detection pipelines using AI-assisted analysis and frameworks like MITRE ATT&CK.
Own the product vision and roadmap for Identity Threat Detection & Response (ITDR) at Elastic Security, defining how the platform detects, investigates, and responds to identity-based attacks across human and AI agent identities.
A Principal Software Developer focused on performance tuning for Elasticsearch, leading architectural and code-level performance engineering initiatives, optimizing distributed systems, and developing performance models and methodologies for complex systems.
Leads performance engineering for Elasticsearch, optimizing architecture and code to ensure high scalability, predictability, and predictability for search, observability, and AI retrieval systems used by Fortune 500 companies.
Lead performance engineering for Elasticsearch—architectural and code-level optimization, profiling, benchmarking, and building AI-assisted tools across a large-scale distributed search engine. Core tech: Java, JVM, Elasticsearch.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database technologies, shaping AI-driven search solutions for Fortune 500 clients. Bridges technical teams (engineering/research) to define metrics (recall, latency, cost) and align product vision with market demands.
Principal Product Manager owning XDR and exposure/vulnerability management strategy and delivery for Elastic Security, working across detection, response automation, and vulnerability prioritization on the Elastic Search AI Platform.
Principal Product Manager for Elastic Security, bridging strategic enterprise accounts and product development. Owns enhancement requests, synthesizes customer needs into coherent product direction, and collaborates across Product, Sales, and Engineering to deliver security solutions for Fortune 500 clients.
Lead end-to-end network architecture and system design for Skylo's commercial satellite NTN vRAN, a 3GPP cloud-native platform bridging terrestrial and satellite networks for IoT and consumer devices.
About the job Join our Team - Your career journey starts here – not just a job, but a future. Our Potential Opportunity INTECH Automation Intelligence is seeking a Principal Software Engineer to join our dynamic…
The Principal Data Engineer will lead the design, build, and continuous improvement of Breedon Group's enterprise data platform using Microsoft Azure, Databricks, and Microsoft Fabric. This role involves establishing engineering standards, mentoring the team, and supporting AI-driven data workflows.
Lead the Integrations & Developer Platform team at an early-stage utility-tech startup, defining GraphQL APIs, SDKs, data quality tooling, and reverse-ETL/data-out products so systems integrators can self-serve integrations without Gigawatt engineering involvement.
Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission.…
The Principal Software Engineer will lead complex cross-platform initiatives and technical projects for Harness's AI-powered software delivery platform. This role involves driving technical strategy, mentoring engineering teams, and solving high-level architectural challenges in a hybrid environment.
Manage a team of technical solutions consultants deploying Gemini Enterprise agentic AI solutions for Google Cloud's global enterprise customers, bridging product, engineering, and customer needs to deliver production AI systems at scale.
Own the AI platform that lets utilities and energy companies build, deploy, and govern autonomous agents using LLMs, retrieval, and tool use while balancing cost, latency, and reliability.
What you'll do Technically lead and improve engineering practices across the opto-mechanical design domain, including production of the same, for the continuous improvement of MBRYONICS capabilities and engineering…
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