Join Security Architecture to own end-to-end security telemetry ingestion into Elasticsearch (cloud provider audit logs, identity/SaaS, endpoint/asset data), manage Elastic Cloud on Kubernetes clusters (ECK), and maintain pipelines, index templates, ILM, shards, and CCS. Role involves Terraform, Kubernetes/Helm, Python scripting, REST API integrations (auth, pagination, rate limits), AI-assisted automation, and working with SOC/IR workflows. Location: Ireland. Salary range provided (EUR).

Join the Security Architecture team to own end-to-end security telemetry pipelines into Elasticsearch, maintain Elastic Cloud on Kubernetes clusters (ECK), and ensure data quality, capacity, and cluster health. The role requires Kubernetes and Helm experience, Terraform for infrastructure as code, API integrations for telemetry ingestion, Python scripting, and experience applying AI automation to reduce operational toil. Eligibility to work in DoD Impact Level 4+ cloud environments is required.

Elastic seeks a Principal Software Engineer on Platform Infrastructure (Application Networking) to set technical direction and own architecture for Ingress, DNS, private connectivity, and security controls for Elastic Cloud. Responsibilities include leading cross-organizational projects, improving performance, reliability and operability, running incident investigations and on-call, mentoring engineers, and partnering with product and senior stakeholders. Required: deep experience with application networking, cloud-native architecture, large-scale distributed systems, and operating high-availability SaaS platforms. Bonus: hands-on Kubernetes networking (Cilium, external-dns, Envoy Gateway, Crossplane) and major cloud provider experience (AWS/Azure/GCP).

Principal-level role to set technical direction and drive architecture for application networking in Elastic Cloud, including Ingress, DNS, private connectivity, and security controls. Responsibilities include leading cross-organizational projects, improving performance, reliability, and operability, participating in on-call and incident investigations, and mentoring engineers. Bonus experience includes Kubernetes networking tools (Cilium, external-dns, Envoy Gateway, Crossplane) and major cloud providers (AWS, Azure, GCP).

Principal-level role responsible for setting architecture and technical direction for application networking in Elastic Cloud, including Ingress, DNS, private connectivity, and security controls. The role leads cross-organizational projects, drives performance, reliability, and operability improvements, participates in on-call and incident investigations, mentors engineers, and partners with product and senior engineering stakeholders.

Lead the design and delivery of large-scale application networking systems (Ingress, private connectivity, DNS, security controls) for Elastic Cloud. Drive architecture and technical initiatives across organizations, own multi-quarter projects, improve reliability and operability, participate in on-call rotations and incident investigations, and mentor engineers. Preferred experience includes Kubernetes networking and major cloud providers (AWS/Azure/GCP).

Join Elastic as a Principal Software Engineer focusing on Application Networking within Platform Infrastructure. The role owns technical direction, architecture, and delivery for Ingress, DNS, private connectivity, and security controls across Elastic Cloud; leads cross-organizational projects, participates in on-call and incident investigations, and mentors engineers. Experience with large-scale distributed systems, cloud-native networking, and Kubernetes networking is emphasized.

Elastic is hiring a Principal Software Engineer on Platform Infrastructure — Application Networking to set technical direction and own design and delivery of Ingress, private connectivity, DNS, and security controls for Elastic Cloud. The role requires experience designing and operating large-scale distributed systems and application networking, leading cross-organizational projects, improving reliability and operability, participating in on-call and incident investigations, mentoring engineers, and partnering with product and senior engineering stakeholders. Bonus experience includes Kubernetes networking tools (Cilium, external-dns, Envoy Gateway, Crossplane) and major cloud provider networking (AWS, Azure, GCP).

This Principal-level role leads design and delivery of distributed control plane services for Elastic Cloud Serverless across AWS, Google Cloud, and Azure. Responsibilities include shaping technical direction, implementing and operating orchestration systems on Kubernetes (including ECK), participating in on-call rotations and incident response, mentoring engineers, and improving security, reliability, and cost efficiency. Requires 8+ years of software experience, deep Kubernetes and cloud-native expertise, proficiency in Go, and hands-on experience with at least one major cloud provider.

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 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.

Fully-remote Principal Software Engineer role focused on designing and evolving Elasticsearch's core storage and query engine for observability workloads (logs and metrics). Responsibilities include performance and storage optimization, cross-organizational technical leadership, mentoring, code review, and collaborating with a global distributed team. Requires strong Java, distributed-systems, and storage/query design experience; familiarity with databases/search engines and time-series/logs data is expected.

Join the Elasticsearch Core/Infra team to design and implement foundational infrastructure and shared features (services, settings, scripting, plugins), improve observability and performance, own operational investigations, and lead cross-team projects. Role emphasizes strong Java skills, low-level systems knowledge (concurrency, classloaders, JDK internals), CI/CD experience, and use of observability/telemetry tools.

Lead the architecture and technical direction of Elastic's agent layer (Elastic Agent/Beats) to support the Streams platform. Responsibilities include design and technology evaluation, architectural reviews, cross-team coordination, mentoring, writing design docs/ADRs, and driving large multi-team initiatives focused on observability data collection and distributed deployments.

The role involves designing and operating scalable application hosting infrastructure on Kubernetes (GCP), implementing infrastructure-as-code (Terraform/Crossplane), building CI/CD and build systems, ensuring cloud security and CVE remediation, monitoring and performance optimization, and managing cloud cost governance. Requires 5+ years relevant experience, familiarity with cloud providers (AWS/Azure/GCP), and Kubernetes/Cloud Native certification; experience with Istio/Linkerd and Elasticsearch is a plus.

Principal Java Engineer to design, build, and operate core distributed systems components for Elasticsearch Serverless. Responsibilities include improving concurrent indexing, maintaining cluster coordination, scaling shards/nodes, investigating performance and stability issues, and supporting cross-team projects. Role requires deep distributed systems and consensus algorithm expertise, strong Java proficiency, and experience building large-scale distributed systems.

Join the Elasticsearch Distributed Systems team to design, build, and operate core components of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination and safety/liveness properties, pushing scalability limits (shards, nodes, petabytes), investigating performance and stability issues end-to-end, and supporting cross-team operational and engineering efforts. Requires deep distributed systems expertise, strong Java and algorithm skills, and experience building large-scale distributed systems.

Join the Elasticsearch Distributed Systems team to design, build, and operate core components of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination for performance and safety, investigating and resolving performance/stability issues, and collaborating across teams. Requires deep distributed systems and consensus algorithm expertise and strong Java skills.

Join Elasticsearch's Distributed Systems team to work on scale, performance, and resilience for the Serverless Elasticsearch product. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination, scaling shards/nodes/data, diagnosing performance and concurrency issues, and owning operational investigations. Strong core Java, distributed systems, consensus algorithms, and debugging skills required. Typical starting salary range: €61,100–€96,600 EUR per year.