Full-time Principal Software Engineer role contributing to Elasticsearch core search infrastructure (indexing, retrieval, relevance). Responsibilities include defining technical vision, researching search/data-structure advances, leading and contributing to core features, collaborating with product and partner teams, mentoring engineers, and working across distributed teams. Requires deep experience with search technologies (Elasticsearch, Lucene, Solr), core Java, data structures, concurrency, and large-scale distributed systems.

Elastic seeks a Senior Support Engineer in Bangalore with 7+ years' experience in technical support or system administration. Responsibilities include resolving customer issues within SLAs, on-call rotations, creating lab repros, contributing to documentation and knowledge base, and working with developers on escalations. Required skills include cloud and container technologies (Kubernetes, Docker, AWS/GCP/Azure), systems administration (Linux/Windows), networking, Java, web/app servers, APIs/REST, SSO/AD, scripting, packet analysis (Wireshark), and support tools like Salesforce, Zendesk, and JIRA.

Role focuses on owning a defined territory to build pipeline (≥50% from outbound), qualify deals using frameworks like MEDDPICC, deliver tailored demos and value storytelling, maintain forecast accuracy (≥90% within ±10%), negotiate multi-year consumption-based contracts, and collaborate with Solutions Architects, Customer Success, Marketing, and RevOps. Typical base salary range: $113,300–$179,200 USD per year; eligible for variable compensation and stock program.

Lead Elastic's distribution and long-tail partner strategy for Global Public Sector in the United States and Canada, owning distributor relationships, reseller recruitment and enablement, co-sell execution, partner-sourced ARR, channel program design (margin, rebates, deal registration, tiering), and cloud marketplace transactional strategy. Requires 7+ years in channel/partner roles with distribution experience and strong Salesforce and technical enablement skills.

Lead evaluation and build-vs-buy decisions for internal SaaS replacements, own architecture and delivery for Elastic-native internal platforms (developer productivity tools, FinOps, ITSM, enterprise efficiency systems), and manage a small engineering team while dogfooding Elastic products. Requires 12+ years software engineering experience and hands-on Elasticsearch expertise.

Lead the Privacy and Data Governance program at Elastic, provide strategic direction, manage a team of three privacy professionals, advise senior management on privacy and data protection, develop risk-based AI governance, support product and contractual privacy/security matters, and advise on cybersecurity audits and incidents. Requires minimum 8 years of privacy-specific legal experience and active law license. Compensation is base salary (typical range $192,300–$304,200 USD).

Lead performance engineering initiatives for Elasticsearch, owning technical design and execution of optimizations, building performance models and benchmarks (stateful and serverless), profiling and identifying bottlenecks across logging, metrics, vector search and ES|QL, and driving automation including AI-assisted optimization harnesses. Requires deep Java/JVM knowledge, experience profiling and benchmarking distributed systems, and familiarity integrating native libraries and storage/index performance.

Lead and deliver high-impact performance engineering initiatives for Elasticsearch, including architecture and code improvements, profiling and benchmarking (flamegraphs, JMH, Rally), performance modeling, regression detection, and automation (AI-assisted optimization). Requires deep Java/JVM knowledge, experience with distributed systems and performance tuning, and mentoring other engineers.

Lead high-impact performance initiatives across architecture and code, develop performance models and methodologies for distributed systems, profile and benchmark components (logging, metrics, vector search, ES|QL), drive automation and AI-assisted optimization tooling, and mentor engineers to embed performance-first thinking across the company. Requires deep Java/JVM and distributed systems expertise and experience with profiling and benchmarking tools.

Lead architectural and code-level performance engineering initiatives for Elasticsearch, including profiling, benchmarking, developing performance models, and driving optimizations across distributed systems. Role emphasizes JVM/Java internals, concurrency, benchmarking tools (flamegraphs, JMH, Rally), vector search and serverless performance, and automation/AI-assisted optimization. Listed typical starting salary range: 369,400–584,300 PLN per year.

Lead high-impact performance engineering initiatives for Elasticsearch, including architectural design, profiling and benchmarking (stateful and serverless), developing performance models, and driving optimizations across logging, metrics, vector search and ES|QL. Requires deep Java/JVM and distributed systems expertise, experience with benchmarking tools (flamegraphs, JMH, Rally), and using AI/automation to accelerate optimization. Role based in Portugal.

Lead architectural and code-level performance engineering for Elasticsearch: develop performance models, profile and benchmark distributed systems (stateful and serverless), drive optimizations across logging, metrics, vector search and ES|QL, build AI-assisted benchmarking tools, and mentor engineers. Requires deep Java/JVM, concurrency, profiling, and distributed systems experience.

Join Elasticsearch Performance team to lead architecture-to-production performance initiatives for Elasticsearch. Responsibilities include profiling and benchmarking distributed systems, developing performance models, driving optimizations (including for vector search and serverless), building AI-assisted automation for profiling and benchmarking, and mentoring engineers. The role requires deep Java/JVM knowledge, concurrency expertise, and experience with benchmarking tools such as JMH, Rally, and flamegraphs.

Lead architectural and code-level performance engineering initiatives for Elasticsearch, including profiling, benchmarking, regression detection, and automation. Requires deep Java/JVM knowledge, experience optimizing distributed systems (tools such as flamegraphs, JMH, Rally), and familiarity with vector search, serverless/stateful architectures, and integrating native libraries (C++/Rust/SIMD). Role includes mentorship and cross-team collaboration.

Lead performance engineering initiatives for Elasticsearch: design and implement high-impact architectural and code optimizations, develop performance models and benchmarks, profile and analyze distributed systems (logging, metrics, vector search, ES|QL), drive regression detection and automation (including AI-assisted tools), and mentor engineers. Role is based in Canada; posted base salary range is CAD 154,000–243,600 per year.

Join the Elasticsearch Performance team to design and implement performance improvements, build benchmarks and regression detection, profile and analyze system behavior (logging, metrics, vector search, ES|QL), and automate AI-assisted optimization and benchmarking workflows. Role requires deep Java/JVM knowledge, concurrency and distributed-systems experience, and familiarity with benchmarking tools (e.g., JMH, Rally).

Join the Elasticsearch Performance team to drive performance engineering initiatives: design and implement code- and architecture-level optimizations, build performance models and benchmarks, profile and analyze distributed system behavior (logging, metrics, vector search, ES|QL), and automate AI-assisted optimization and benchmarking workflows. Role emphasizes Java/JVM expertise, distributed-systems experience, and benchmarking tools such as JMH and Rally. Location: Canada.

Elastic is hiring a French-speaking Sales Development Representative in Barcelona to engage inbound and outbound prospects, generate qualified opportunities, and work closely with Account Executives and Marketing. The role emphasizes multi-channel outreach using tools like LinkedIn Sales Navigator, Demandbase and AI-powered tools, strong communication and organizational skills, and a coachable, growth-oriented mindset.

Join Elastic's Integrations team to design and build developer-facing integrations that make Elastic available inside third-party AI ecosystems. Responsibilities include developing the Elastic MCP server and platform for portable agent skills, authoring/publishing tooling, linting and eval-backed correctness, contributions to the Elastic CLI, and building libraries/tools in Go and Rust. The role requires 8+ years of backend engineering experience, proficiency with AI/ML frameworks and understanding of LLMs/agents, strong product thinking and focus on developer experience. Typical starting salary range: €87,300–€138,100 EUR per year.

Join the Integrations team to build and maintain the Elastic MCP server, tooling for portable agent skills, integrations into third-party AI ecosystems, and developer-facing surfaces (language clients, CLI, libraries). Role requires ~8+ years backend/software engineering experience, significant recent Go experience (and ideally other languages such as Rust), familiarity with LLMs/agents/MCP, HTTP/REST APIs, focus on evaluation-backed correctness, and strong product and developer-experience orientation. Position is for candidates in Portugal (distributed, remote-friendly).