Вакансии

Задачи: — разработка на Python с использованием фреймворков FastAPI или Litestar (Starlite) — работа с асинхронностью, concurrency и multiprocessing — работа с Kafka и Redis PubSub — работа с PostgreSQL с использованием SQLAlchemy — использование Git, Docker, CI/CD Требования: — опыт разработки на Python от 2 лет — опыт работы с одним из фреймворков FastAPI или Litestar (Starlite) — опыт работы с AsyncIO, concurrency, multiprocessing — опыт работы с Kafka и Redis PubSub — опыт работы с PostgreSQL (SQLAlchemy+) — умение работать с Git, Docker, CI/CD — понимание архитектурных подходов будет плюсом Будет большим плюсом: — опыт работы с Kubernetes — опыт деплоя и сопровождения ML-инференса в production — навыки профилирования и оптимизации Python-сервисов — опыт работы с systemd — опыт работы с Jira и Agile-процессами Условия: — удалённая работа по России — оформление в штат по ТК РФ — полная занятость — зарплата от 150 000 ₽ в месяц

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Задачи: — Разработка и поддержка real-time feature store на базе Apache Flink для ML-решений — Создание и масштабирование потоковых конвейеров обработки данных объемом в терабайты ежедневно — Обеспечение качества данных, валидации и мониторинга данных end-to-end — Поддержка низколатентных (<100ms p99) потоков данных для систем выбора рекламы и ценообразования — Тесное взаимодействие с командами Data Science, Backend и Infrastructure Требования: — Опыт построения и масштабирования инфраструктуры данных или потоковых систем в продакшене на значительном масштабе — Знание распределенных систем, событийно-ориентированных архитектур и высокопроизводительных потоковых конвейеров — Сильные навыки backend-разработки, особенно на Java — Практический опыт работы с Kafka, Flink или аналогичными технологиями потоковой обработки — Понимание взаимодействия продакшен-систем данных с ML-командами и влияния на производительность ML — Ориентация на создание инфраструктуры, обеспечивающей реальное время и интеллектуальные решения Условия: — Работа в Гамбурге в гибридном формате (3 дня в офисе) — Полная поддержка релокации и визовая поддержка для международных кандидатов — Зарплата в диапазоне 85-100 тыс. евро в год Технологический стек: Kafka, Apache Flink, Go, Java, AWS (S3, DynamoDB), Redis, Druid, Kubernetes, Terraform, Airflow, Prometheus, Grafana, ELK

Задачи: ▫️ Оценивать устаревшие приложения полностью: архитектура, зависимости, инфраструктура, риски — с помощью AI-инструментов анализа ▫️ Определять стратегию миграции для каждого приложения с учётом характеристик, ограничений и бизнес-ценности ▫️ Выполнять полную модернизацию: обновление фреймворков, миграция зависимостей, контейнеризация, настройка CI/CD пайплайна ▫️ Развёртывать на целевых платформах — облачные сервисы или оптимизированные on-prem решения ▫️ Формировать практику модернизации: создавать шаблоны, паттерны и делиться опытом для ускорения следующих миграций ▫️ Сотрудничать с командами, владеющими устаревшими системами Требования: ▫️ Сильные знания Java и Spring (7+ лет) ▫️ Практический опыт модернизации корпоративных приложений с устаревших платформ на современные ▫️ Широкие знания инфраструктуры ▫️ Знания корпоративного middleware и инфраструктуры данных ▫️ Готовность работать с AI-инструментами (Agentic AI, LLM) ▫️ Опыт работы в крупных организациях с большими системами, управлением изменениями и требованиями соответствия ▫️ Отличное владение английским языком (письменно и устно) ▫️ Высшее образование в области компьютерных наук, программной инженерии или смежных технических областях Плюсом будет: ▫️ Опыт с другими JVM или не-JVM backend технологиями (.NET, Python, C++) ▫️ Опыт использования AI/LLM инструментов для анализа кода, миграции или масштабного рефакторинга ▫️ Опыт в финансовом секторе, рынках капитала или финтехе ▫️ Опыт развертывания Kubernetes (EKS, Helm, ArgoCD) ▫️ Знание паттернов миграции в облако (lift-and-shift, strangler fig, blue-green, миграция баз данных) ▫️ Владение корпоративными инструментами ServiceNow, Confluence, Jira Условия: ▫️ Гибкий формат работы: удалёнка из указанных стран или гибрид ▫️ Полное медицинское страхование для сотрудников в Польше и на Кипре ▫️ 50% покрытие медицинского страхования для супругов и детей в Польше и на Кипре ▫️ 24 дня оплачиваемого отпуска ▫️ 10 дней оплачиваемого больничного ▫️ 50% компенсация профессионального обучения, конференций ▫️ Поддержка при релокации в Польшу или на Кипр: билеты, аренда жилья на первый месяц, помощь с визами и разрешениями ▫️ Работа с профессиональной командой и корпоративные мероприятия

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. UP teams are segmented into multiple areas including: Platform Engineering - Teams within platform engineering provide cross-cutting capabilities that enable other teams to focus on domain- or business-specific needs by streamlining and standardizing technical approaches. For example, one of these teams provides data table, identity and access management, and pub-sub capabilities as a service to engineering teams. Domain Engineering - Teams within domain engineering have critical capabilities that extend beyond a single trading strategy or business area. They build services and data products to optimize a broad array of use cases. For example, one team processes third-party trade and order feeds in real time to keep DRW informed of its trading activity. Another team manages DRW’s proprietary investment book of record providing latency-sensitive ingestion of the firm’s trading activity and providing both real-time and on-demand analytics. We are passionate about finding the best team and role for each candidate through the interview process, as we learn more about each person's current skills and long-term development goals. Expectations: Building systems with a constant focus on testing, reliability, scalability, and maintainability. Designing, modeling, and programming in a variety of languages and technologies. Working on legacy code as well as green field development. Initiative driving projects to completion. Learning and promoting new technologies with a focus on best practices. Providing on-call support as needed. Sometimes working alongside other developers on the same task. Desirable Experience: We are looking for strong developers of any stripe, but familiarity with the below will give candidates a leg up in working on our systems. Multiple years of server-side development. A solid understanding of micro-service architectures and CAP theorem. A good understanding of functional paradigms and type theory. Confident JVM knowledge. Modern programming languages knowledge in our primary languages (Java, Python, Clojure). Experience with Airflow or other Python-based workflow orchestration tools. Proficiency in domain-driven design and domain modeling. Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git. Working knowledge of SQL, HTML, CSS, and JavaScript. Using AI coding assistants to accelerate development while owning the outcome. Exposure to agentic frameworks or MCP server development. Knowledge of financial concepts, exchange trading, or physical energy trading. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-MM1

Location: Mapbox Japan Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  SENIOR/STAFF SOFTWARE DEVELOPMENT ENGINEER, EV PLATFORM Mapboxは、次世代のロケーションベースのビジネスを支える、世界をリードするリアルタイム・ロケーションプラットフォームです。人、モノ、車両の移動をあらゆる場所で支えるために必要なツールを包括的に提供する、唯一のプラットフォームです。 その柔軟性、高いセキュリティ、プライバシーへの配慮が評価され、世界で400万人を超える登録開発者に選ばれています。企業や組織は、Mapboxのアプリケーション、データ、SDK、APIを活用し、それぞれのニーズに合わせた魅力的で没入感のある体験を創り出しています。 WHAT WE DO EV Platformチームは、Mapboxの電気自動車（EV）向けプロダクトを支える、充電インフラのデータ基盤を担っています。世界各地の充電ポイント事業者（CPO）からリアルタイムおよび静的なEV充電ステーションデータを収集・処理し、本番環境でこれらのデータを利用する自動車・モビリティ分野のお客様に、信頼性、正確性、鮮度の高いデータを提供しています。 私たちは、世界中のCPOエコシステムと、お客様がエンドユーザーに提供するナビゲーション体験をつなぐ、データ取り込みパイプライン、品質保証システム、APIの開発・運用を行っています。新たなデータソースの統合から、大規模にデータを提供するシステムの安定稼働まで、データライフサイクル全体をチームで担っています。また、私たちが生成するデータは、Search、Map Data、RoutingをはじめとするMapboxのさまざまなプロダクトやチームで活用されています。そのため、社内でも注目度が高く、幅広い領域に大きなインパクトを与えるチームです。 MapboxのEV向けソリューションについて、詳しくはこちらをご覧ください。 https://www.mapbox.com/ev https://www.mapbox.com/blog/mapbox-for-ev AIが現代のエンジニアリングワークフローにますます組み込まれるなか、私たちは、設計、開発、意思決定の各プロセスにAIを適切かつ効果的に取り入れられるエンジニアを重視しています。選考プロセスでは、日々のエンジニアリング業務でAIをどのように活用しているかについてもお伺いします。 WHAT YOU'LL DO EV PlatformチームのSenior Backend Engineerとして、Mapboxがグローバルに提供するEV充電ステーションデータを支えるデータインフラの開発に携わります。世界各地の充電ポイント事業者（CPO）やデータアグリゲーターから取得したデータを処理するデータ取り込みパイプライン、データの正確性を維持する品質管理システム、そしてお客様や社内チームにデータを提供するAPIなどを担当します。 具体的には、以下のようなプロジェクトに携わります。 - 新たな地域の充電ポイント事業者（CPO）との連携を進め、EV充電ステーションデータのグローバルなカバレッジを拡大する - 複数のデータプロバイダーから取得した充電ステーションデータを照合・統合し、信頼できる単一のデータセットを構築するシステムを開発する - データ取り込みパイプラインの信頼性と処理能力を向上させ、大規模なデータ処理に対応できるよう拡張する - 充電ステーションの各種属性やリアルタイムの利用可能状況の正確性を確保するため、データ検証・品質管理システムを設計する - データの健全性をモニタリングし、修正が必要なデータを検出・可視化するための社内ツールやダッシュボードを開発する - EV充電データを各プロダクトで活用するMapbox社内のチームを技術面から支援する このポジションでは、以下の業務を担当します。 - 拡張性の高いデータパイプラインおよびバックエンドサービスを設計・実装し、デプロイ、耐障害性、オブザーバビリティに関するベストプラクティスに沿って開発・運用する - EV充電データの品質、正確性、カバレッジを評価するための実験を設計・実施する - Mapboxの幅広いプロダクトエコシステムの中で、機能の設計から実装・リリースまで一貫して携わる。コードレビューや設計ドキュメントのレビュー、機能リリースの推進、オンコール対応を担当する - プロダクトオーナー、関連チーム、マネジメントと連携し、今後のデータプラットフォームの方向性を策定・推進する WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 本番環境のバックエンドサービス開発における、3年以上のRustを使用した実務経験と高いスキルをお持ちの方 - AWS上のコンテナベース環境において、高可用性のバックエンドサービスやデータパイプラインを構築した経験をお持ちの方。Docker、ECS、Fargate、Kubernetesなどの利用経験に加え、サービスのモニタリング、インシデント対応、継続的なプロダクト改善に実践的に取り組んだ経験をお持ちの方。ArgoおよびDatadogの利用経験があれば尚可 - パイプライン設計、データ品質の検証、大規模データ処理など、データエンジニアリングに関する知識をお持ちの方 - 耐障害性、整合性、サービスディスカバリなど、分散システムに関する知識をお持ちの方。システムアーキテクチャの設計経験とアーキテクチャに関する理解があり、データ分析やパフォーマンスプロファイリングに基づいてサービスを改善できる方 - チームワークを重視し、協力的な環境の中で周囲と連携しながら業務を進められる方 - 新しいことを学び、知識を積極的に共有する姿勢を持ち、英語で円滑にコミュニケーションできる方 - プログラミングへの高い関心と、品質を重視する姿勢をお持ちの方。自動テストの実装経験をお持ちの方 WHAT WE VALUE このポジションに限らず、Mapboxのすべてのリーダーに共通して求められるコアバリュー https://www.mapbox.com/about/values/に加え、私たちは以下の考え方を大切にしています。 - 課題や新たな可能性に深く向き合い、高い成果を生み出す創造性豊かな人材を大切にしています。 - 一人ひとりが自分らしく働けることを大切にしています。そのために、充実したヘルスケア制度や育児休暇、ライフイベントに柔軟に対応できる働き方を整えるとともに、社員をより良くサポートするための仕組みを継続的に進化させています。 - 社員一人ひとりがそれぞれの役割で、そしてMapboxの一員として活躍するために必要な知識やスキルを身につけられるよう、互いに教え、学び合う環境を重視しています。 - 多様な人材が集まるチームを育てることには大きな価値があると考えています。バックグラウンド、性別、人種・民族、障がいの有無、性的指向などにかかわらず、あらゆる方からのご応募を歓迎します。 このポジションに応募することにより、応募者向けのMapbox Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/をご確認いただいたものとみなされます。応募手続きには、氏名や連絡先などの個人情報のご提供が必要です。これらの情報は、Mapboxが応募を受け付け、選考を行うために必要となります。 Mapboxは、公正かつ公平な採用プロセスの実現に取り組んでいます。法令で保護されるいかなる属性を理由とする差別も行いません。 Mapboxは、敬意に満ち、プロフェッショナルで安全な採用プロセスの提供に努めています。面接や候補者との連絡を含むすべての採用活動は、会社が承認した方法およびチャネルを通じて厳格に実施されます。 SENIOR/STAFF SOFTWARE DEVELOPMENT ENGINEER, EV PLATFORM WHAT WE DO The EV Platform team powers the charging infrastructure data layer behind Mapbox's electric vehicle products. Our services aggregate and process real-time and static EV charging station data from charge point operators around the world, making it reliable, accurate, and fresh for the automotive and mobility customers who depend on it in production. We build and operate the data ingestion pipelines, quality assurance systems, and APIs that sit between the global CPO ecosystem and the navigation experiences our customers ship to end users. The team owns the full data lifecycle, from integrating new data sources to ensuring the operational health of the systems delivering that data at scale. The data we produce flows downstream into many other Mapbox products and teams, including search, map data, and routing, making this a high-visibility team with broad impact across the company. Read more about Mapbox for EV: https://www.mapbox.com/ev https://www.mapbox.com/blog/mapbox-for-ev As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. What You'll Do As a Senior Backend Engineer on the EV Platform team you will be working on the data infrastructure that powers Mapbox's global EV charging station coverage. This includes the ingestion pipeline that processes data from a global network of charge point operators and data aggregators, the quality systems that keep that data accurate, and the APIs that serve it to customers and internal teams. Projects you might take part in: - Expanding global EV charging coverage by integrating with new charge point operators across new regions - Building systems that reconcile and unify charging station data across multiple providers into a single authoritative dataset - Building and scaling the data ingestion pipeline for higher reliability and throughput - Designing data validation and quality systems to ensure accuracy of charging station attributes and live availability - Developing internal tooling and dashboards to monitor data health and surface corrections - Supporting downstream Mapbox teams consuming EV charging data in their products In this role, you will be expected to: - Design and implement scalable data pipelines and backend services, following best practices for deployment, resilience, and observability - Run and design experiments to evaluate the quality, accuracy, and coverage of EV charging data - Participate in end-to-end feature implementation within the larger Mapbox ecosystem; review code and design documents, shepherd feature releases, and participate in an on-call rotation - Work with product owners, partner teams, and management to drive future data platform direction WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Strong proficiency in Rust (3+ years) for production backend services. - Experience building highly available backend services and data pipelines in container-based environments on AWS, including Docker, ECS, Fargate, or Kubernetes, with hands-on experience in service monitoring, incident triage, and continuous product improvement. Familiarity with Argo and Datadog is a plus. - Knowledge of data engineering concepts, including pipeline design, data quality validation, and large-scale data processing. - Knowledge of distributed systems (fault-tolerance, consistency, service discovery). System architecture experience and understanding of architectural concepts. Ability to improve services based on data analysis and performance profiling. - Being an excellent team player with the ability to work within a collaborative environment. - Enthusiasm for learning and knowledge sharing, supported by strong communication skills in English. - Passion about programming and a strong focus on quality. Implementation of automated tests. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. Mapbox is committed to providing a respectful, professional, and safe recruiting experience. All recruiting activities, including interviews and candidate communications, are strictly conducted through company-approved methods and channels.

Задачи: — Развёртывание и поддержка blockchain nodes / validator infrastructure. — Эксплуатация Kubernetes-кластеров в bare metal окружении. — Поддержка и развитие IaC-подхода. — Настройка мониторинга и observability. — Работа с сетевой инфраструктурой. — Troubleshooting и устранение инцидентов. — Взаимодействие с заказчиком по инфраструктурным вопросам. — Обеспечение высокой доступности и стабильности сервисов. Требования: — Уверенный опыт с Kubernetes в bare metal environments. — Практический опыт с Terraform и Ansible. — Сильная Linux-экспертиза (Ubuntu / Debian / CentOS). — Опыт работы с Prometheus и Grafana. — Хорошее понимание сетей: DNS, TLS, ingress/load balancers. — Опыт поддержки production infrastructure. Преимущества: — RKE2, Talos Linux. — Flux / Argo CD. — Базовый Go или Python. — Security/compliance practices (шифрование, hardening). — Опыт работы с blockchain nodes / validator infrastructure. Условия: — Работа из офиса в Тбилиси или удалённо (релокация из РФ/РБ обязательна). — Помощь с релокацией в Тбилиси. — Полное обеспечение техникой. — Компенсация занятий спортом и обучения.

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Staff Engineer to help drive our Continuous Integration (CI)  team. This role is critical in ensuring the reliability, scalability, and efficiency of our development pipelines, enabling engineers across the company to ship high-quality software quickly and confidently. The Staff Engineer will help drive the design, implementation, and optimization of systems that support automated testing, build orchestration, and deployment. What you’ll do Systems & Operations Own the design, scalability, and reliability of build and pipelines across multiple services and platforms. Ensure fast, reliable feedback cycles for developers by optimizing build times, test coverage, and reporting. Implement monitoring, alerting, and incident response processes for CI systems to minimize downtime. Collaboration & Enablement Work closely with across engineering to ensure smooth integrations and deployment workflows. Identify developer pain points and lead initiatives to improve productivity through tooling, automation, and best practices. Evangelize CI/CD practices across the organization to raise engineering efficiency standards. Leadership & Strategy Contribute to and help drive the vision for continuous integration and developer productivity infrastructure. Lead and mentor other CI engineers, fostering a culture of ownership, collaboration, and technical excellence. Partner with engineering leadership to align CI systems with broader product and platform goals. What we look for Proven experience driving and leading engineering efforts in CI, build systems, or developer productivity domains. Strong background in modern build systems (e.g. GitHub, Buildkite, Artifactory). Familiarity with cloud-native environments (AWS, Kubernetes) and infrastructure-as-code practices. Solid programming background (Python, Kotlin, Java, or similar) and ability to guide technical decision-making. Excellent problem-solving skills, with the ability to balance long-term vision with short-term impact. This position requires either equivalent practical experience or a Bachelor’s degree in a related field Proficiency with managing build systems and frameworks for large monorepos. Active contributor to open source projects or previous experience with large-scale software development at a leading tech company is a plus. About You: You are driven by a passion for CI/CD and possess a deep commitment to enhancing developer experiences. You excel in a collaborative team setting, valuing diverse perspectives and contributions. You are proactive, taking initiative to solve complex systems challenges and drive impact across the organization. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy. #LI Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Staff Engineer to help drive our Continuous Integration (CI) team. This role is critical in ensuring the reliability, scalability, and efficiency of our development pipelines, enabling engineers across the company to ship high-quality software quickly and confidently. The Staff Engineer will help drive the design, implementation, and optimization of systems that support automated testing, build orchestration, and deployment. What you’ll do Systems & Operations Own the design, scalability, and reliability of build and pipelines across multiple services and platforms. Ensure fast, reliable feedback cycles for developers by optimizing build times, test coverage, and reporting. Implement monitoring, alerting, and incident response processes for CI systems to minimize downtime. Collaboration & Enablement Work closely with across engineering to ensure smooth integrations and deployment workflows. Identify developer pain points and lead initiatives to improve productivity through tooling, automation, and best practices. Evangelize CI/CD practices across the organization to raise engineering efficiency standards. Leadership & Strategy Contribute to and help drive the vision for continuous integration and developer productivity infrastructure. Lead and mentor other CI engineers, fostering a culture of ownership, collaboration, and technical excellence. Partner with engineering leadership to align CI systems with broader product and platform goals. What we look for Proven experience driving and leading engineering efforts in CI, build systems, or developer productivity domains. Strong background in modern build systems (e.g. GitHub, Buildkite, Artifactory). Familiarity with cloud-native environments (AWS, Kubernetes) and infrastructure-as-code practices. Solid programming background (Python, Kotlin, Java, or similar) and ability to guide technical decision-making. Excellent problem-solving skills, with the ability to balance long-term vision with short-term impact. This position requires either equivalent practical experience or a Bachelor’s degree in a related field Proficiency with managing build systems and frameworks for large monorepos Active contributor to open source projects or previous experience with large-scale software development at a leading tech company is a plus. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. About You: You are driven by a passion for CI/CD and possess a deep commitment to enhancing developer experiences. You excel in a collaborative team setting, valuing diverse perspectives and contributions. You are proactive, taking initiative to solve complex systems challenges and drive impact across the organization. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Staff AI Engineer to join the GenAI + Discovery Platform team at Strava, a team at the core of Strava's AI strategy, responsible for building the shared tooling that enables product teams to ship high value GenAI-powered features at scale. This role sits at the intersection of AI engineering, platform engineering, and server engineering. You will own the systems that make it easy and reliable for all of our product teams to build user facing features on top LLMs at Strava, from shared context, tool management, agent loops, orchestration, data access, search and retrieval to evaluation and ROI frameworks. This is a high-leverage technical role: you're not just building infrastructure, you're building the core understanding of athletes that enable consistent athlete experiences, insight across product surfaces. You'll work closely with product engineers, product managers and data teams to translate cutting-edge AI capabilities into production-ready platforms that facilitate development of AI features that provide value to our athletes. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU'LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide. - Build the GenAI + Discovery Platform: Set the vision, Design and the shared genAI platform: LLM, and workflow orchestration, prompt management systems, RAG pipelines, search and retrieval services (vector, hybrid and structured search), and evaluation tooling - Enable Teams to Ship AI Features Faster: Build self-serve interfaces and golden paths so that product and CUJ engineering teams can build GenAI-powered features without deep AI expertise. - Own End-to-End AI Capability Delivery: Drive projects from architecture and interface design through production deployment and monitoring, ensuring correctness, latency, reliability, and cost-efficiency of the AI capabilities your platform serves. - Collaborate Across Engineering, and Product: Work closely with engineers and PMs across different verticals to enable the new features and build the genAI roadmap. inform product teams on how to consume and leverage AI capabilities effectively. - Build from a Rich Dataset: Explore and use Strava's extensive unique fitness and geo datasets from millions of users to inform how AI capabilities can extract actionable insights, improve product decisions, and power novel athlete experiences. YOU WILL BE SUCCESSFUL HERE BY: - Treating AI Platform as a Product: Bringing engineering rigor — versioning, contracts, SLAs, monitoring, and deprecation paths — to AI capabilities and LLM integrations that product teams depend on. You don't ship a prototype; you ship a platform. - Leading as an Owner: Taking end-to-end accountability for the reliability and impact of the systems you build, including their correctness in production, their adoption by downstream teams, and the business outcomes they enable. - Building for Leverage: Designing platforms and tooling that multiply the output of the broader team, reducing the AI infrastructure expertise required for CUJ teams to ship GenAI-powered features. - Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on model selection, evaluation standards, prompt strategies, and consumption patterns. - Raising the Standard: Helping establish best practices for GenAI system development, responsible AI patterns, and operational health, and mentoring teammates at all levels to do the same. - Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values. WHAT YOU'LL BRING TO THE TEAM: - 5+ years of experience building and operating complex, production AI or backend systems at scale, with a track record of decomposing large technical problems into well-scoped execution across teams. - Demonstrated experience building AI platform tooling or developer-facing infrastructure ideally for LLM or ML systems with a strong instinct for API design, versioning, and self-serve patterns. - Hands-on experience building with large language models in production: agentic workflows, prompt and context engineering, RAG architectures, embedding pipelines, fine-tuning workflows, or LLM evaluation frameworks and tools like Langchain . - Proficiency in search systems (Elasticsearch/OpenSearch, Vector Search, etc) - Proficiency in backend service development on cloud environments (AWS preferred), using Python, Go. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker). - Strong technical leadership: ability to lead multi-team projects, define technical direction, and grow engineers at multiple levels. - Deep curiosity about the evolving GenAI landscape: model capabilities, agent frameworks, multimodal systems: and strong judgment on where and how to apply them to real product problems. - Strong communication and collaboration skills, with the ability to align cross-functional partners around technical direction and build organizational trust in the platforms your team ships. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

amoCRM - крупнейшая CRM система в России, работающая на рынках России, США, Европы и Латинской Америки, общаясь с клиентами на 4 языках. В команду требуется Middle Python разработчик на внутренний проект по автоматизации работ в инфраструктуре. Задачи: — Технически развивать проект — Выявлять дефекты и находить причины их возникновения — Писать автоматизацию для решения инцидентов в highload проекте — Работать с бекапами — Автоматизировать работу отделов — Осуществлять Code-review других разработчиков — Нести полную ответственность за свой код Стек технологий: Python, Django DRF/ORM, Redis, Celery, MySQL, Go, Docker, Kubernetes, Git, Linux, Makefile, Shell скрипты, Vue, Jenkins. Ожидания: — Релевантный опыт backend-python разработчиком не менее 1,5 лет — Умение работать с системами сбора и хранения логов — Структурное мышление и умение разбивать проект на подзадачи — Опыт работы с другими языками программирования, например PHP — Ответственность, самостоятельность, организованность — Умение работать с асинхронным кодом — Умение работать с bash — Желание учиться и развиваться Будет плюсом: — Умение работать с внешними API (Google, Jira и др.) — Умение разрабатывать Docker compose/k8s конфигурационные файлы Условия: — Работа над интересным проектом в технически сильной команде — Возможность карьерного и профессионального роста — Комфортный офис на м. Добрынинская — Без бюрократии, дресс-кода — График 5/2 с 10:00 до 19:00 или с 11:00 до 20:00 Мск — Работа в офисе, без возможности удаленной работы Факты о проекте: — Мониторинг состояния более 1000 шард и сервисов — Обслуживание шард (оптимизация, решардинг, анализ, чистка) — Перевод трафика по DNS — Обращение к базе данных без прямого подключения к доступам — Оповещения об авариях и автоматическое решение — Возможность записи и проверки бекапов — Большая часть кода на Django, также есть Go — Деплой для QA

Location: Manila, Philippines Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Software Solutions Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. As a Software Solutions Engineer, you play an important role in the Innovation team, helping to scout, validate and fast-track new ideas that can shape the next generation of the BankWorks platform. The role is ideal for a curious, hands-on and solution-oriented personality who enjoys experimenting with new technologies, building prototypes and working closely with technical, product and operational teams. Responsibilities: ● Analyse technology trends in payments/fin-tech industry and adjacent sectors, maintaining up-to-date knowledge of technological developments. ● Convert rough concepts into PoC/MVP implementations, adhering to deadlines. ● Participate in and seek to continuously improve the software life cycle phases, focusing on designing, coding, documenting, testing and support ● Produce concise design notes, demo scripts, and handover documentation for smooth transition to other teams ● Collaborate effectively in cross-functional teams through pairing, brainstorming sessions, and knowledge sharing to meet defined objectives ● Contribute to and maintain the team's internal knowledge-base ● Ensure a high quality/standard of work and service throughout ● Communicate effectively and professionally with internal and external customers ● Perform other duties which may be assigned from time to time ● May be required to work extended hours to meet deadlines and/or be on-call ● Follow all company policies and procedures ● Diploma or Bachelor’s degree in ICT or related professional qualifications ● Solid understanding of the software development life cycle and agile/lean methodologies ● A strong sense of curiosity and willingness to learn new technologies ● Comfortable working in ambiguous, iterative, and exploratory settings ● Strong analytical reasoning, organizational and time-management skills with ability to prioritize tasks and meet deadlines under pressure. ● Be proficient in software development, with ability to use more than one of the following development languages: -Front-end: Java, Javascript, SQL -Back-end: Java, PL/SQL -Real-time: C/C++, PL/SQL, Lua ● Have good knowledge of the following relational database management systems -Oracle, PostgreSQL, MySQL ● Bonus points for experience or exposure to: o Modern software architecture patterns (microservices, RESTful services) o High-volume data streaming technologies (Kafka, RabbitMQ) o Scripting languages (e.g., Ruby, Python, Bash) o DevOps tools (e.g., Git, Jenkins) o Containerisation and cloud environments (Docker, Kubernetes) ● Able to work effectively in a collaborative team environment ● Meticulous, methodical and accurate in the completion of tasks ● Strong communication and writing skills in English ● Willing to work extended hours and be on-call when required ● Experience in writing software for the financial and/or payment industry is preferred

Задачи: — Поддержка и улучшение облачной инфраструктуры AWS, включая VPC, EC2, EKS, IAM, Route 53 и S3. — Управление платформами на базе Kubernetes. — Проектирование, внедрение и поддержка инфраструктуры как кода (IaC) с использованием Terraform и Ansible. — Поддержка развертывания сервисов и стандартизации платформы с помощью Helm. — Создание, поддержка и улучшение конвейеров CI/CD с использованием GitLab CI и Argo CD; администрирование локальных установок GitLab. — Поддержка и улучшение мониторинга и наблюдаемости платформы (VictoriaMetrics, VictoriaLogs, Grafana). — Администрирование и поддержка HashiCorp Vault. — Устранение неполадок и поддержка сред на базе Linux, работающих на EC2 и Kubernetes. — Оказание базовой оперативной поддержки для PostgreSQL, MS SQL, Airflow и рабочих нагрузок баз данных, работающих как в AWS RDS, так и в Kubernetes. — Участие во внедрении средств контроля безопасности инфраструктуры и платформы (шифрование, сегментация сети, безопасная связь между сервисами и т. д.). — Разработка внутренних инструментов и решений для автоматизации. — Расследование инцидентов, выявление первопричин и внедрение превентивных мер. Требования: — Опыт работы с Kubernetes, AWS, Terraform. — Знание английского языка на уровне от B2. Условия: — Релокация в Индию, город Гургаон. — Полный релокационный пакет. — Возможность поработать в других странах через год. — Работа в русскоязычной команде. Обзор проектов: — Система принятия решений для риск-менеджеров и разработчиков стратегий по борьбе с мошенничеством, использующая Kogito, Kotlin и Kubernetes. — Платформа автоматизации маркетинга с микросервисами на Python и FastAPI. — Data Lakehouse с Apache Airflow, Apache Spark, MS SQL и технологиями для борьбы с мошенничеством и обеспечения информационной безопасности.

Location: San Francisco Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is an early-stage, San Francisco-based AI startup building the operating system for family law. Their platform automates the most time-intensive parts of legal practice — client intake, financial disclosures, document preparation, case management, and client collaboration — helping family law firms modernize and scale without adding headcount. Founded in 2025, the company is already working with real customers and actively closing a seed round, with $XM signed to date.   THE MISSION To reduce the emotional and financial burden of divorce for millions of families — and empower the legal professionals who serve them — by transforming a fragmented, manual process into a guided, intelligent, AI-driven experience.   THE OPPORTUNITY This is a co-founder seat, not a hire. You're joining at the inflection point: real product, real customers, seed round closing. As the first technical leader, you'll own the full stack — architecture, AI infrastructure, engineering culture, and execution velocity. You'll work shoulder-to-shoulder with the founding team to define how AI reshapes one of the largest, most underserved verticals in legal services. If you've been waiting for a founding opportunity where the market is real, the mission matters, and the equity is worth the bet — this is it.   WHAT YOU'LL DO - Own and define end-to-end technical architecture of the platform - Write and ship production code daily alongside the founding team - Architect and scale AI agent infrastructure for legal workflows — billing, financial layers, document automation, collections, and client collaboration - Build and scale the engineering team from scratch — hiring, mentoring, and establishing culture - Partner with founders on product roadmap, fundraising narrative, and company strategy - Ensure security, compliance, and scalability of a document-heavy, regulated-industry platform - Drive rapid iteration cycles and maintain startup velocity through seed close and beyond   WHAT YOU BRING Must-Haves: - 8+ years of software engineering experience, with 3–5+ years in technical leadership - Deeply hands-on — you still write and ship production code regularly - Proven experience building AI-native, workflow-heavy, or document-centric SaaS products - Proficiency with modern AI/ML stacks: LLMs, RAG, and agentic frameworks (LangChain/LangGraph, OpenAI/Claude APIs) - Strong backend and cloud infrastructure expertise (GCP/AWS, Python, Node.js, Kubernetes) - Experience building engineering teams in a 0→1 environment - Based in the SF Bay Area or willing to relocate - Financially comfortable with a founder salary model during the build phase — equity is the upside Nice-to-Haves: - Exposure to legal tech, compliance-heavy, or regulated-industry products - Experience with document automation platforms - Prior founding experience or early employee (1–50 person company) - Background at Big Tech or high-growth SaaS - Genuine interest in access to justice and modernizing legal services   KEY SUCCESS DRIVERS - Builder-first — you ship fast, don't wait for perfect conditions, and take pride in what you launch - Full ownership — you treat the product and team like they're yours, because they will be - Systems thinker — you design for agentic workflows and automation, not just feature lists - Ambiguity-tolerant — you thrive in 0→1 environments without a defined playbook - Mission-aligned — you're genuinely excited about AI's role in transforming legal services - Speed over perfection — you iterate fast, learn faster, and course-correct in real time   WHY JOIN? Compensation & Equity: - 7-10% founder-level equity — significantly above market, reflecting a true founding relationship - Base salary: ~$4,000/month during the pre-seed phase, with a clear normalization trigger post-seed close - Upside is entirely equity-driven, structured for long-term wealth creation What Makes This Rare: - Co-founder title and seat — not a VP/Director scope with imposed constraints - Real product traction and paying customers before you join - Seed round in progress: $XM already signed - Recognized by TechCrunch Disrupt Startup Battlefield and Stanford CodeX FutureLaw - Greenfield opportunity to define the technical foundation of a category-creating company INTERVIEWING PROCESS - Intro Call - Level 1 — Technical Deep-Dive - Level 2 — Take-Home or Live Build Exercise - Level 3 — In-Person Co-Founder Day (half day, SF) - Reference Checks + Offer We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Spain; Georgia; Serbia; Poland; Cyprus; Portugal; Armenia Workplace: remote The Project At Findev, we're building an AI-powered application modernization practice for major global financial institutions. The work: take legacy enterprise applications — monoliths, on-prem deployments, decade-old frameworks — and move them to modern platforms (Kubernetes, cloud-native, containerized). Hundreds of applications, each with its own stack, quirks, and business constraints. Most happen to be Java, but not all. AI tools (Agentic AI, LLM agents, automated analysis pipelines) are the primary instruments in this workflow. They handle volume — codebase scanning, dependency mapping, migration code generation. But the hard part isn't the code transformation. It's the decisions : what to migrate, where to migrate it, which strategy to use (rehost, replatform, refactor, rebuild), and how to sequence it without breaking production systems that handle real money. That's where you come in.