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Bitdeer is looking for an Inference Performance Engineer to characterize production workloads and improve capacity, cost, and performance metrics.

Bitdeer is looking for an Integration Engineer to build provider adapters, resilience controls, and billing reconciliation for inference services.

Location: Brussels, Belgium We currently have a vacancy for a Senior LLMOps Engineer fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure; Deploy, test, manage and monitor ML models in different containerized environments; Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models; Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking; Analyse performance metrics and troubleshoot issues to ensure high availability and reliability; Design CI/CD pipelines, use orchestration solutions and data versioning tools; Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability, efficiency and cost-effectiveness; Provision of security studies, security assessments or other security matters associated with information system projects; Provision of support and guidance to other team members on LLMOps/MLOps practices. Requirements University degree in a relevant field such as Computer Science, Information Technology, or Systems Engineering combined with relevant IT professional experience of at least 10 years; Excellent experience of managing an on-prem and/or cloud LLM / MLOps infrastructure; Experience with data analytics over big datasets, non-structured databases as well as data lakes; Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch); Experience with model testing and model validation in production environments; In depth knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS); Good knowledge of MLflow, TensorFlow (TFX) or equivalents; Good knowledge of Airflow; Good knowledge of AWS or EU cloud providers; Good knowledge of Python; Good knowledge of Unix and Bash; Good knowledge agile software development methodologies; Good knowledge of infrastructure as code (Terraform, CloudFormation); Excellent knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ); Knowledge of NoSQL databases, such as OpenSearch, MongoDB as well as query languages, such as SQL, Hive, Pig, etc. and with information extraction; Excellent command of the English language. Benefits If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (158837/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Недельный отчёт по метрикам бренда по гео: регистрации, первые депозиты, депозиты, выводы, GGR, NGR, бонус-рейт, активные игроки. Сверка с отчётностью платформы.

Администрирование и настройка Linux-систем (RHEL, CentOS, Debian, Ubuntu); Подготовка инфраструктуры под задачи различных проектов;

Location: Seattle, Washington; United States (Remote) Workplace: Remote SENIOR ENGINEERING MANAGER, OBSERVABILITY ENGINEERING Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer's toolbox, and are building the team that will make that happen. Our values guide us — they are present in how we show up, make decisions, and work together to make an impact. We're curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows. Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $550M Series E at a $12.55B valuation, we are building the durable execution layer the agentic era depends on. Observability is how we and our customers know that layer is holding. This role owns both halves of that problem. Internally, you own the telemetry platform our engineers use to run a multi-tenant service that some of the largest companies in the world rely on. Externally, observability is a product surface. Customers debug their own workflows through what we expose, and the quality of that experience is a key feature of the platform. We are looking for a leader who has run observability at scale, treats telemetry cost and cardinality as first-class engineering constraints, and has the operational rigor to be accountable for live-site outcomes on a platform where reliability is the product. RESPONSIBILITIES - Observability roadmap: Own the team’s technical roadmap and delivery, aligned with broader engineering priorities. Evaluate build, buy, and open-source options, balancing reliability, customer needs, and cost. - Technical leadership: Lead, hire, and grow a high-ownership team of engineers. Guide technical decisions through design and code reviews. Coach engineers, help them grow, and clear the friction that slows them down. - Platform ownership: Own the ingestion, storage, query, and visualization path for high-cardinality telemetry across a multi-tenant, multi-cloud fleet. Enable self-serve capabilities to support a growing Engineering organization. - Operational excellence: Own alerting and incident response tooling end to end. Drive the detection quality, routing, and clear, actionable runbooks that make on-call sustainable, and turn incident reviews into lasting reliability improvements. - Customer-facing observability: Partner with Product and SDK teams on the telemetry Temporal exposes to customers: metrics, traces, and workflow-level diagnostics. Work directly with design-partner customers and integrate what you learn into the roadmap. - Cost, capacity & economics: Own the unit economics of observability: cost per ingested series, per query, per namespace. Set cardinality budgets, drive consolidation where tool sprawl has crept in, and negotiate and manage vendor relationships against clear value criteria. - Partner with Engineering, Product, Security, and Support to resolve competing priorities and deliver shared outcomes. Explain technical tradeoffs and risks clearly to senior leaders and non-specialist partners. QUALIFICATIONS - Proven experience leading engineering teams that build and operate observability, monitoring, or telemetry platforms at scale, with strong operational practices. - Demonstrated success leading engineering teams that build and operate production observability platforms, including hiring, coaching, performance management, and delivery. - 15+ years in software and/or infrastructure engineering, including 7+ years of people management, with demonstrated ownership of delivery and live-site outcomes. - Experience hiring, leveling, and performance management. - Strong distributed-systems expertise with the hands-on judgment to guide architecture and execution rather than guide it from a distance. - Experience operating multi-tenant infrastructure that other people's production workloads depend on. - Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus. - Excellent communication skills, with the ability to partner across engineering, product, and leadership and translate customer feedback into a roadmap. REQUIRED SKILLS - Strong leadership and coaching; ability to grow engineers and build a healthy, accountable, high-ownership team, including through reorgs, acquisitions, or platform migrations. - Set priorities and deliver incremental improvements with incomplete information. Make tradeoffs explicit and adapt plans as customer and operational needs change. - Command of the observability building blocks — metrics, logs, traces, profiling, and alerting and the tradeoffs between them at scale. - Time-series and telemetry data fundamentals: cardinality control, retention and downsampling, query performance, and hot/cold storage tiering. - Live-site reliability craft: SLA/SLO definition, on-call, incident management, and postmortem-driven continuous improvement. - Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase. PREFERRED EXPERIENCE - Applying AI/LLM techniques to triage, anomaly detection, or incident summarization, with clear-eyed judgment about where they help and where they don't. - OpenTelemetry at depth: collector architecture, semantic conventions, instrumentation strategy. - The open-source observability stack in production: Prometheus, Mimir/Thanos/Cortex, Grafana, Loki, Tempo, ClickHouse. - Building observability as a product for external developers, not only as internal tooling. - Kubernetes internals and multi-cloud delivery across AWS, GCP, and Azure. - Vendor consolidation or migration programs (commercial APM/SaaS to open-source, or the reverse) with measurable cost and reliability outcomes. - Developer experience or engineering productivity backgrounds - treating internal engineers as customers with a measurable experience. - Prior experience at a developer infrastructure or open-source-based company, where the community is part of the feedback loop.   Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Brazil About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.

Location: Mexico About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.

Location: United States About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus. Equal Employment Opportunity Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Alvys's privacy practices, see our Privacy Policy .

Design and support air-gapped deployment environments for LLM-based systems. Deploy and optimize LLM workloads on GPU infrastructure.

· Разработка микросервисов на Go: проектирование и написание новых сервисов, расширение существующих. · Проектирование схем и оптимизация запросов в PostgreSQL (индексы, партиционирование, транзакции).

- Design scalable microservices and migrate from a monolithic architecture across multi-region data centers. - Develop and integrate high-load features handling millions of concurrent users.

- Участи в проектировании и реализации технической архитектуры для задачи повышения уровня доступности системы (HA конфигурации для всех компонентов, паттерны отказоустойчивости, мониторинг и алертинг). - Работа с инцидентами и обращениями пользователей в качестве 3 линии поддержки, дежурства (on-call) 24/7 1 раз в месяц.

Проектировать и реализовывать архитектуру сервисов: SMS-Gate, VKCM и других. Мигрировать логику с Perl на Go, сохранив стабильность и надёжность.

Самостоятельная реализация сложных backend-задач от проработки требований до выпуска в production. Декомпозиция и оценка задач, выявление технических рисков и зависимостей.

Развитие SMS-Gate, VKCM и других проектов подразделения. Перенос логики с Perl-систем на современный стек без деградации сервиса.

Задачи: — Разработка и актуализация методологии нагрузочного тестирования (МНТ) — Сбор требований — Поиск и формирование сценариев нагрузочного тестирования с учетом бизнес-целей продукта — Подготовка тестовых данных — Разработка и отладка скриптов нагрузочного тестирования — Проведение различных видов нагрузочного тестирования — Разработка отчетов нагрузочного тестирования, формирование рекомендаций — Анализ производительности приложений, микросервисов и систем управления базами данных (СУБД) — Построение мониторинга метрик производительности — Поиск и документирование дефектов производительности — Взаимодействие с аналитиками, разработчиками, администраторами и другими участниками проектной команды при подготовке и проведении тестирования Требования: — Локация и гражданство только РФ/РБ — Опыт работы от 1 года в нагрузочном тестировании — Опыт применения различных методологий нагрузочного тестирования — Опыт работы в финтех сфере — Обязательный опыт работы с JMeter (внешние пулы данных, JSR223, кэш, аргументы) — Опционально: опыт и знание jDSL — Опыт самостоятельной разработки новых скриптов нагрузочного тестирования — Обязательный опыт работы с СУБД PostgreSQL (план и параметры запросов), уверенное владение SQL на уровне анализа и написания запросов — Опыт анализа производительности СУБД: поиск медленных запросов, анализ планов выполнения, блокировок, соединений и потребления ресурсов — Опыт работы с инструментами мониторинга (обязательно Grafana) — Понимание принципов работы микросервисной архитектуры и опыт нагрузочного тестирования микросервисных систем — Опыт разработки mock-сервисов — Опыт тестирования высоконагруженных систем и приложений Условия: — Удалённая работа — Полная занятость (full-time)

• Опыт 5+ лет. • Опыт работы с высоконагруженными системами.