Join the Elasticsearch Search team as a Principal Software Engineer to design and implement vector search features and improvements (including work in Lucene), implement or adapt algorithms (e.g., HNSW, IVF), write idiomatic modern Java, and collaborate with a globally distributed community and engineering team. The role emphasizes algorithm and system design, operating-system-level performance work, open-source collaboration, and owning cross-functional initiatives.

Join the globally distributed Elasticsearch Search team to lead work on vector search and vector databases within Elasticsearch. The role requires strong Java skills, experience with vector similarity algorithms (e.g., HNSW, IVF), and familiarity with search systems (Elasticsearch, Lucene) and data storage technologies.

Principal Software Engineer to lead design and implementation of vector search features and improvements in Elasticsearch, including algorithm and data structure work (e.g., HNSW, IVF). Requires strong Java skills and experience with vector similarity/vector databases; compensation range listed in SEK.

Join the globally distributed Elasticsearch Search team to lead design and implementation of vector search features and enhancements (including contributing to Lucene), work with algorithms like HNSW/IVF, write modern Java, collaborate with open-source community, and improve search relevance and performance.

Lead design and implementation of vector search features and enhancements in Elasticsearch, resolve bugs, and contribute to improving search relevance. Work remotely with a globally distributed engineering team and the open-source community, primarily writing modern Java. Requires professional experience with vector similarity and related algorithms (e.g., HNSW, IVF) and familiarity with data storage technologies.

Join the Elasticsearch Search Scaling team as a Principal Software Engineer to provide technical vision and direction for core search infrastructure (indexing, retrieval, relevance). Responsibilities include researching search infrastructure and retrieval algorithms, driving roadmap for large-scale search systems, contributing to Lucene, and collaborating cross-team. Requires deep experience with search systems (Elasticsearch, Lucene, Solr), strong Java skills, and experience leading technical projects in distributed systems.

Join Elastic as a Principal Software Engineer contributing to Elasticsearch core search and indexing capabilities. The role requires deep expertise in search internals (Elasticsearch/Lucene/Solr), Java, data structures, concurrency, and distributed systems, providing technical vision, leading projects, and collaborating across distributed teams.

Elastic is hiring a Principal Software Engineer on the Elasticsearch - Search Scaling team to provide technical direction and contribute to core search infrastructure (indexing, retrieval, relevance). The role requires deep expertise in search internals, large-scale search systems (Elasticsearch/Lucene/Solr), strong Java skills, and experience leading technical projects and mentoring engineers. The position is based in Sweden and includes a disclosed annual salary range in SEK.

Join Elastic as a Principal Software Engineer on the globally distributed Search Scaling team. The role defines technical vision and drives evolution of core search and indexing capabilities for Elasticsearch (indexing, query execution, relevance), researches search infrastructure and retrieval algorithms, collaborates across product and engineering teams, and contributes to Elasticsearch and Lucene. Requires deep experience with search systems, distributed systems, Java, data structures, and mentoring senior engineers.

Join the Elasticsearch Search Scaling team to define and implement the next generation of core search and indexing capabilities. The role focuses on research and development of search infrastructure, data structures, and retrieval algorithms, collaborating across teams to shape long-term technical vision. Requires deep expertise in search internals, large-scale search or distributed systems, and strong Java and algorithmic skills.

Twilio is hiring a Software Engineer (L3) for the SendGrid Email Platform. The role requires 4+ years building and operating resilient backend services at scale, strong production experience in Go/Java/Python, experience with AWS and Azure, Terraform, distributed systems (e.g., Kafka), containerization (Docker/Kubernetes), and implementing observability and distributed tracing. Remote within the US (role is not eligible to be hired in CA, CT, NJ, NY, PA, WA).

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

SearchApi seeks an experienced engineer to own the browser stack: patch browser engines (Chromium/Firefox) in C++, maintain per-OS fingerprint profiles, eliminate automation-detection signals (navigator, WebGL, canvas, audio, fonts, Client Hints, CDP leaks), and build tooling and tests to prevent regressions. The role requires deep reverse-engineering skills, familiarity with large browser build systems, and proven contributions to browser-engine patches or stealth tooling.

Twilio is hiring a Staff Software Engineer (L4) to join the Identity Platform Team (based in India, remote). The role focuses on designing, developing, and operating Java-based microservices for authentication and authorization, working with technologies such as Spring/Dropwizard/Hibernate, MySQL/Aurora/DynamoDB, Kafka, Memcached, Docker/Kubernetes, and AWS. Requires a bachelor's degree and 8+ years of Java development experience.

DuckDuckGo is hiring a Senior Privacy Engineer to work on the Privacy Functional Team. The role involves designing privacy-preserving systems (e.g., for search indexes and AI features), building on the Tracker Radar crawler, implementing and maintaining features like Web Tracking and Email Protections, and participating in privacy review and audit processes. Required technical work includes writing pragmatic, performant, testable code primarily in Go, Node.js, Python, and sometimes Perl. The position is remote (specified for many countries), full-time (~40 hours/week), includes expected travel for company meetups (~2 times/year), and lists compensation of $178,500 USD annually plus stock options.

Fully remote Software Engineer role contributing to a migration to serverless, event-driven architecture on AWS and to building agentic AI features and evaluation frameworks. Work includes backend engineering (TypeScript/Node.js), AI tooling in Python, AWS serverless services, reliability/observability, and Infrastructure as Code. Hiring across multiple countries (posting lists Spain and United Kingdom); Spain base salary listed from €74,000.

Design and build systems and tooling to improve ML training and inference efficiency, optimize distributed training, resource utilization, and model serving; build benchmarking and monitoring, partner with ML researchers and product teams, and drive platform scalability and cost efficiency. Requires 5+ years software engineering experience, strong Python, and proficiency in at least one systems language; experience with distributed systems and ML infrastructure (PyTorch Distributed, Ray, TensorFlow, Spark) and GPU performance analysis.

Join Reddit's ML Efficiency team to design and build systems, tooling, and optimizations that improve training and inference efficiency, GPU and resource utilization, distributed training infrastructure, and model serving. Requires 5+ years software engineering experience, strong Python skills, systems-language proficiency (Go/C++/Rust/Java preferred), experience with distributed systems and ML infrastructure, and expertise in performance engineering and profiling.

Join Reddit's Ads Foundational Representations team to design, implement, evaluate and deploy embeddings and ML features for ads, posts and users. Responsibilities include developing embedding models (NLP/CV/multimodal), working with local and 3rd-party LLMs/VLMs (extraction, evaluation, prompt tuning, fine-tuning), building data processing and inference pipelines, performing qualitative and quantitative evaluations and experiments, and ensuring reliability and scalability of ML systems. Required: 5+ years end-to-end ML experience and experience building NLP or CV models and integrating them at scale; experience with PyTorch or TensorFlow. Preferred: experience with Python, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP, ads or recommender/search systems and tech leadership.

Grafana Labs is hiring a Senior/Staff Backend Engineer for the Grafana Backend Services squad (candidates located in the UK, Germany, Spain, Ireland, Sweden). The role involves building and operating backend APIs and CLI tooling, working with Go, relational databases (MySQL, SQLite, Postgres), orchestration infrastructure, and participating in on-call rotations. Experience with Docker, Kubernetes, CI/CD/DevOps, observability (Grafana/Prometheus), microservices and distributed systems is relevant. UK base compensation range provided; other contract/relocation/visa details are not specified.