Joining the CrowdStrike Detection Engine (CDE) Platform team, you will design, build, and scale highly available microservices and platform tooling (DCMP/CMS) that ingest and process security events at internet scale. The role emphasizes Go-based services, data streaming (Kafka, Flink), distributed databases, cloud deployment (AWS/GCP/Azure), mentorship, and cross-functional technical leadership.

Senior engineering lead role responsible for architecting and building production-grade agentic AI solutions and LLM-powered workflows across GTM technology (Salesforce, Slack, third‑party apps). Requires 8+ years software engineering experience (3+ years in lead/principal role), strong Python and TypeScript skills, experience with agentic AI frameworks, RAG/semantic search, vector DBs, Salesforce development (Apex/LWC), cloud AI platforms (AWS Bedrock, Vertex AI), and CI/CD/DevOps practices. Salary range for U.S. candidates: $125,000–$180,000/year.

Role involves designing and maintaining secure CI/CD pipelines with security gates, hardening Kubernetes-based workloads on GCP and AWS, implementing supply chain security controls (SBOMs, provenance, signing), and driving baseline security standards and tooling adoption.

Responsible for analysis, design, development, implementation and support of equities trading systems in a banking environment. Hands-on experience with FIX protocol interfaces, message-queue integration, Oracle and MS SQL databases, Linux/Unix and Windows platforms, Java/J2EE application servers, mobile deployments, DevOps tools (Jenkins, Bitbucket) and scheduling/monitoring tools (Control-M, Splunk, Geneos). Tasks include system integration, testing (unit, SIT, UAT), production deployment, post-implementation support, troubleshooting, performance tuning and preparation of technical/operational documentation.

Work on Elasticsearch’s distributed systems components to improve concurrent and consistent indexing, maintain cluster coordination for performance and safety, and scale shards, nodes, and petabytes. Requires strong background in distributed systems and consensus algorithms, deep Java knowledge, algorithmic proficiency, and experience owning and managing multi-engineer projects.

Role to improve Elasticsearch components for concurrent and consistent indexing, maintain cluster coordination, scale shards/nodes/petabytes, investigate performance and concurrency issues, and lead projects across multiple engineers. Requires strong distributed systems, consensus algorithm, and core Java skills; experience with Lucene/Netty is a bonus. Based in Hungary; salary range provided in HUF.

Work on Elasticsearch distributed systems components including concurrent and consistent indexing, cluster coordination, shard/node scaling, and performance/concurrency issues. Requires strong background in distributed systems, consensus algorithms, core Java, algorithms, and experience owning and managing multi-engineer projects.

Work on concurrent and consistent indexing, cluster coordination, and enabling Elasticsearch to scale to large numbers of shards, nodes, and petabytes. Responsibilities include addressing performance and concurrency issues, supporting support engineers, and owning multi-engineer projects. Requires strong distributed systems and consensus algorithm knowledge, proficiency in core Java, and deep algorithmic skills.

Join the Elasticsearch Distributed Systems team to improve concurrent and consistent indexing, maintain cluster coordination for performance and safety, and scale shards, nodes, and petabytes. The role requires strong expertise in distributed systems, consensus algorithms, core Java, concurrency, and debugging complex multi-node systems; experience managing multi-engineer projects is expected.

Work on Elasticsearch components that support concurrent and consistent indexing across machines, maintain cluster coordination to preserve safety and liveness as nodes and data move, push scalability limits for shards/nodes/petabytes, diagnose and resolve performance and concurrency issues, support support engineers on difficult problems, and own multi-engineer projects from design through delivery.

Work on Elasticsearch components that support concurrent and consistent indexing, cluster coordination, data allocation and replication across nodes. Requires a strong background in distributed systems, consensus algorithms, and core Java; responsibilities include performance and concurrency debugging, owning projects end-to-end, and supporting support engineers on complex issues.

Work on Elasticsearch components for concurrent and consistent indexing, cluster coordination, shard/node scaling and data replication. Requires strong expertise in distributed systems, consensus algorithms, core Java (JDK), concurrency and algorithms; responsibilities include debugging performance/concurrency issues, owning projects end-to-end, and supporting other engineers.

Role on the Elasticsearch Distributed Systems team working on node communication, indexing, allocation, and replication to improve scale, performance, and resilience. Responsibilities include improving concurrent and consistent indexing across machines, maintaining cluster coordination, addressing performance and concurrency issues, and supporting engineers. Requires strong background in distributed systems, consensus algorithms, core Java, data structures, concurrency, and algorithms. Salary range listed: 128,300–203,000 CAD per year.

Lead hands-on design and delivery of agentic AI solutions and LLM-powered workflows for GTM technology (Salesforce, Slack, third-party apps). Responsibilities include architecting RAG/semantic search pipelines, building autonomous agents and AI integrations, Salesforce development (Apex, LWC, Platform Events, Agentforce), CI/CD and observability, and mentoring engineers. Requires 8+ years software engineering experience (3+ years in lead/principal role) and strong proficiency in Python and TypeScript/JavaScript.

Join CrowdStrike to design, develop, test and maintain large-scale backend services for the Kestrel UI/platform. The role focuses on distributed systems, API and systems design, high-scale performance and collaboration with multiple backend and UI teams. This is a hybrid role (office visits in NYC) with a U.S. base salary range of $140,000–$215,000 per year.

Acquia is hiring a Staff AI Engineer to architect and implement stateful, multi-agent workflows (using LangGraph, Temporal, Pydantic) and own AI observability via LangFuse. The role requires 8+ years of software engineering experience (3+ years producing AI agents), deep Python skills, cloud AI deployment experience (AWS/Azure/GCP), and expertise in RAG, vector databases, and prompt/agent management. The position is remote for the United States and includes mentoring and cross-team collaboration responsibilities.

Senior engineering role owning complex, high-impact areas of Chainguard's container and image build stack. Responsibilities include designing services and tools, improving the image build system, participating in long-term planning and roadmaps, mentoring engineers, and driving engineering quality. Requires 10+ years of software development experience and expertise with containers, registries, Docker, Kubernetes, Terraform, and Go.

Lead automation-focused QA within sprint teams: design and implement automated tests (UI and API), maintain and improve test frameworks and CI/CD integration, create test strategies and documentation, and track quality metrics. Requires 12+ years in QA/automation and experience with languages (Python, TypeScript, Java, JavaScript) and frameworks such as Pytest, REST Assured, Selenium, Cypress, or Playwright.

Lead the technical direction for Reddit's Embeddings Machine Learning Platform, architecting scalable training (multi-GPU/cloud) and low-latency real-time serving for large models. Collaborate with cross-functional teams, drive ML strategy, mentor engineers, and bring advanced deep learning and production ML systems into production.

TuxCare (CloudLinux) seeks a Java Developer to join the ELS Java Team. Responsibilities include analyzing publicly disclosed Java vulnerabilities (CVEs), identifying compatible dependency versions, backporting security patches to older releases, fixing or mitigating vulnerabilities, and producing maintainable code. Required: 5+ years software development, strong Java core knowledge, experience with dependency management (Maven/Gradle/Ant), Git and CI/CD (Jenkins/GitLab). Role is fully remote with flexible hours and global work location.