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.

NVIDIA is hiring a Senior DevTech Compute Engineer to prototype and integrate GPU-accelerated approaches for dataframe analytics, high-throughput compression/decompression, and distributed data processing. Requires a Masters/PhD or equivalent experience, at least 5 years relevant work or research experience, strong C/C++ and parallel programming skills (CUDA/ROCm/other), and domain expertise in data processing, compression/codecs, or high-performance distributed databases. Listed base salary ranges: USD 184,000–287,500 (Level 4) and USD 224,000–356,500 (Level 5).

Senior (Staff) engineering role at GitHub responsible for defining technical direction, architecting and operating the cloud infrastructure for the Copilot Agent platform. Responsibilities include building secure, durable, globally scalable systems for agent orchestration, API design, reliability, observability, performance and mentoring other engineers. Role is remote within the United States.

Lead technical direction for GitHub's Frontend Web UI Platform, focusing on performance, accessibility, consistency, and availability. Drive cross-team migrations and paved paths, produce architecture and design proposals, mentor engineers, and partner with product and design to deliver platform-wide improvements. Role is remote and available to candidates in Canada.

Hands-on senior engineering role building GitHub Copilot Code Review: define and implement how the review agent reasons and which models run, own reliability and on-call for a high-throughput service, design offline and online evaluations, collaborate with research and model teams, and mentor senior staff. Requires extensive software engineering experience and working with models at scale.

Role at NVIDIA to research and build geometry, meshing, and discretization methods (including AI-native and differentiable approaches) for CAD-to-simulation workflows. Requires PhD or equivalent and 5+ years' experience; strong C++ and Python skills. Position based in the US (multiple locations) with remote options; listed base salary ranges in USD.

Lead technical direction for the Data Identity upstream data platform: own identity data model, architect streaming and batch pipelines (Java, Spark/EMR, Databricks, HBase), design stable data contracts for downstream teams, manage third‑party SBOM ingestion (CycloneDX, VEX, SPDX), apply AI/ML where appropriate, and drive reliability, SLOs, and cost improvements. Requires 10+ years' experience and prior Staff-level scope.

Work on localizing vehicles, associating perception with navigation maps, and lane-level routing/selection using standard navigation maps. Implement efficient, production-grade C++ software (RAII and exception-safe practices) that meets automotive quality and safety standards (MISRA, ISO26262). Requires BS/MS/PhD or equivalent, 8+ years of experience, strong algorithm design, and cross-team collaboration.

Join Kraken's Consumer team to design and implement robust, high-performance Rust services and libraries that power trading and payments experiences. Responsibilities include building reusable, testable code, collaborating on distributed systems architecture (RPC, Kafka, event-driven systems), debugging across OS/network/application stacks, owning systems end-to-end, and mentoring other engineers. The role lists openings across multiple countries (see location).

Senior Staff UX Software Engineer responsible for building high-fidelity coded prototypes (HTML/CSS/JS/React), mapping complex developer workflows and IA, conducting lightweight research, and advancing AI-accelerated design workflows. Requires strong collaboration with engineering and product teams, experience designing enterprise/developer platform UX (typically 10+ years), and fluency in English.

Join Fleetio’s Marketplace Engineering team to design and implement features connecting customers and maintenance shops, handling transactions, billing, and data. Role emphasizes maintainable, well-tested code, collaboration with Product and Design, prototyping, and solving architecture problems. Remote role supporting USA, Canada, and Mexico; requires 2+ years experience with Ruby on Rails, React, and/or TypeScript.

Remote LATAM Senior Engineer role focused on designing, developing, and maintaining scalable Node.js backend services and Elasticsearch solutions (Query DSL, aggregations, ILM, performance tuning). Requires 5+ years' experience, hands-on Docker/container work, SQL and NoSQL databases (MongoDB, PostgreSQL, MySQL), observability with Datadog/Elasticsearch APM, AWS experience, and use of AI-assisted development tools (e.g., GitHub Copilot/GenAI).

Work on the Session Service/Task API (Go) that tracks and serves Copilot agent sessions across CLI, IDEs, and github.com. Responsibilities include API design (OpenAPI), building and operating Go services, CosmosDB/Blob Storage/Event Hubs usage, distributed data modeling, security/IAM and enterprise policy enforcement, staged feature rollouts, and cross-team architecture and mentorship.