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Location: Romania Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: India Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: Москва Мы команда в Департаменте корпоративной архитектуры, создаем и внедряем GenAI-решения. Отвечаем за повышение эффективности ИТ-решений и автономизацию принятия архитектурных решений. Создаем решения, которые дают значительный бизнес-эффект. Обязанности ### Обязанности * руководство командой разработки (2 человека) * проектирование, разработка и внедрение мультиагентных систем: от генерации идеи и сборки MVP до успешного запуска в продакшн * выстраивание процесса оценки и тестирования качества работы агентов (evals) * перевод бизнес-потребности на язык машинного обучения и предлагать оптимальные архитектурные решения * оборачивание разработанной модели и сложную бизнес-логику в надежные микросервисы на Python * дообучение LLM (на базе GigaChat) под специфичные бизнес-задачи и предметные области (Fine-tuning, LoRA) Требования ### Требования * от 5 лет опыта в коммерческой разработке (Data Science / NLP / Backend) с уверенным практическим применением LLM * опыт создания и успешного вывода в продакшн enterprise-решений на базе AI-агентов * от 1 года опыта технического лидерства или менторства * LLM & Agents: глубокий опыт разработки LLM-пайплайнов, RAG-систем и мультиагентных архитектур. Знание и применение фреймворков: LangChain, LangGraph, DeepAgents (или аналогов) * NLP & ML: фундаментальное понимание NLP (от классики TF-IDF до современных трансформеров) и алгоритмов классического ML * Python Backend: понимание принципов проектирования микросервисной архитектуры (REST API); опыт написания асинхронных и многопоточных приложений (aiohttp, asyncio, multiprocessing) * опыт интеграции ML-моделей и AI-агентов в высоконагруженные системы * инструменты: свободное владение Git, SQL, Bash, Docker * готовность проводить код-ревью и давать обратную связь. ### Будет плюсом * интерес к SOTA-подходам в агентной разработке и LLM * опыт работы с Kubernetes и понимание принципов CI/CD * участие в соревнованиях Kaggle или аналогичных. Условия ### **Условия** * гибридный формат работы из г. Москва * годовой бонус и ежегодный пересмотр * расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях * офис на Кутузовской с зонами отдыха и спортзалом * льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: Poland Job Overview: We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems. Senior Level - L3 Required Azure Cloud Experience Key Responsibilities: • Azure Cloud Management: •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep. •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools. •  Monitor and optimize the performance, scalability, and cost of Azure services. • CI/CD Pipeline Development: •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure. •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation. •  Ensure proper version control and release management practices are followed. • Linux Administration: •  Manage and maintain Linux servers, ensuring high availability, security, and performance. •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef. •  Troubleshoot and resolve system-related issues, including networking, security, and application performance. • Security and Compliance: •  Implement and enforce security best practices for both Azure cloud services and Linux servers. •  Conduct regular security assessments and audits, applying patches and updates as necessary. •  Ensure compliance with relevant regulations and industry standards. • Collaboration and Support: •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency. •  Provide support for production systems, including on-call rotations as needed. •  Document processes, configurations, and best practices for both Azure and Linux environments. Required Skills and Qualifications: • Technical Expertise: •  Proven experience with Azure cloud services, including VM management, networking, storage, and security. •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS. •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar. •  Proficient in scripting languages such as Bash, PowerShell, or Python. •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Problem-Solving: •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments. • Soft Skills: •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •  Strong documentation skills and attention to detail. •  Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Qualifications: •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer). •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps. •  Experience with network security and VPN configuration in cloud environments. •  Familiarity with database management in cloud environments (SQL, NoSQL).

Location: Москва В команду AIFA ищем DevOps-инженера, который будет отвечать за надёжное развёртывание и эксплуатацию продукта, а также помогать команде выводить AIFA в новые инфраструктурные контуры. Роль работает сразу с несколькими техническими командами и тесно взаимодействует с интеграционным направлением. Обязанности * развивать CI/CD-процессы для сервисов AIFA * контейнеризировать и развёртывать сервисы в Kubernetes * управлять конфигурациями, секретами, окружениями и инфраструктурными зависимостями * настраивать мониторинг, логирование, трассировку и алертинг * обеспечивать воспроизводимость релизов, обновлений и откатов * участвовать в capacity planning и повышении отказоустойчивости системы * решать инфраструктурные вопросы интеграции: сети, доступы, IAM, Gateway и защищённое взаимодействие сервисов * готовить инфраструктурные схемы, эксплуатационную документацию и материалы для согласований * помогать команде проходить внутренние процессы вывода новых сервисов в промышленную эксплуатацию. Требования * практический опыт от 3х лет работы с Docker и Kubernetes в промышленной среде * опыт построения и поддержки CI/CD * знание Linux, сетевого взаимодействия и принципов работы микросервисных систем * опыт настройки мониторинга, логирования и алертинга * понимание IAM, управления секретами и безопасного взаимодействия сервисов * навыки автоматизации на Python, Bash или другом языке * умение оформлять инфраструктурные решения и сопровождать их согласование * опыт работы в крупной enterprise-инфраструктуре и вывода сервисов в защищённый промышленный контур будет преимуществом. Условия * комфортный современный офис рядом с м. Ленинский проспект * гибридный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Serbia Job Overview: We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems. Senior Level - L3 Required Azure Cloud Experience Key Responsibilities: • Azure Cloud Management: •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep. •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools. •  Monitor and optimize the performance, scalability, and cost of Azure services. • CI/CD Pipeline Development: •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure. •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation. •  Ensure proper version control and release management practices are followed. • Linux Administration: •  Manage and maintain Linux servers, ensuring high availability, security, and performance. •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef. •  Troubleshoot and resolve system-related issues, including networking, security, and application performance. • Security and Compliance: •  Implement and enforce security best practices for both Azure cloud services and Linux servers. •  Conduct regular security assessments and audits, applying patches and updates as necessary. •  Ensure compliance with relevant regulations and industry standards. • Collaboration and Support: •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency. •  Provide support for production systems, including on-call rotations as needed. •  Document processes, configurations, and best practices for both Azure and Linux environments. Required Skills and Qualifications: • Technical Expertise: •  Proven experience with Azure cloud services, including VM management, networking, storage, and security. •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS. •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar. •  Proficient in scripting languages such as Bash, PowerShell, or Python. •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Problem-Solving: •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments. • Soft Skills: •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •  Strong documentation skills and attention to detail. •  Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Qualifications: •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer). •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps. •  Experience with network security and VPN configuration in cloud environments. •  Familiarity with database management in cloud environments (SQL, NoSQL).

Location: Romania Job Overview: We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems. Senior Level - L3 Required Azure Cloud Experience Key Responsibilities: • Azure Cloud Management: •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep. •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools. •  Monitor and optimize the performance, scalability, and cost of Azure services. • CI/CD Pipeline Development: •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure. •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation. •  Ensure proper version control and release management practices are followed. • Linux Administration: •  Manage and maintain Linux servers, ensuring high availability, security, and performance. •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef. •  Troubleshoot and resolve system-related issues, including networking, security, and application performance. • Security and Compliance: •  Implement and enforce security best practices for both Azure cloud services and Linux servers. •  Conduct regular security assessments and audits, applying patches and updates as necessary. •  Ensure compliance with relevant regulations and industry standards. • Collaboration and Support: •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency. •  Provide support for production systems, including on-call rotations as needed. •  Document processes, configurations, and best practices for both Azure and Linux environments. Required Skills and Qualifications: • Technical Expertise: •  Proven experience with Azure cloud services, including VM management, networking, storage, and security. •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS. •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar. •  Proficient in scripting languages such as Bash, PowerShell, or Python. •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Problem-Solving: •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments. • Soft Skills: •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •  Strong documentation skills and attention to detail. •  Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Qualifications: •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer). •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps. •  Experience with network security and VPN configuration in cloud environments. •  Familiarity with database management in cloud environments (SQL, NoSQL).

Ищем системного администратора уровня Middle+/Senior для сопровождения и развития IT-инфраструктуры нескольких организаций в сфере здравоохранения и IT. Опыт системного администрирования от 3 лет.

развивать CI/CD-процессы для сервисов AIFA. контейнеризировать и развёртывать сервисы в Kubernetes.

участие в анализе технических требований к разрабатываемым модулям и сервисам, помощь в выборе технологии и языков программирования. разработка и сопровождение desktop приложений, а так же серверных модулей (backend), в том числе web-сервисов и API (REST, gRPC, WebSocket) на Python 3 и других языках высокого уровня.

Location: AZ_Mesa_HQ DevOps Engineer Mixed-Cloud Platform & Release Engineering Position Overview We are seeking a skilled DevOps Engineer to help build, operate, and continuously improve the CI/CD pipelines and infrastructure that support our mobility products. This is a hands-on individual contributor role responsible for the reliability, security, and velocity of build and release automation across a hybrid environment that includes Amazon Web Services (AWS), Microsoft Azure, and on-premises data centers. You will work alongside a team of DevOps engineers, SREs, and release engineers, partnering closely with Software Engineering, QE, Architecture, and Information Security to help hundreds of microservices ship safely multiple times per day. Success in this role is measured by your contributions to deployment frequency, change failure rate, mean time to recovery (MTTR), platform availability, and the security posture of the delivery pipeline. Essential Responsibilities CI/CD & Release Engineering Build, maintain, and continuously improve CI/CD pipelines supporting hundreds of microservices and applications, including pipeline-as-code standards, build artifacts, container images, and deployment automation across Azure DevOps and GitHub Actions. Contribute to measurable improvements in DORA metrics: deployment frequency, lead time for changes, change failure rate, and time to restore service. Implement and maintain release patterns (blue/green, canary, feature flags), rollback procedures, and pre-production validation gates. Partner with QE to embed automated testing — unit, integration, contract, performance, and security — into pipelines so that quality is enforced before production. Hybrid Cloud & Infrastructure Operations Build and operate infrastructure across AWS, Azure, and on-premises data centers, including compute, networking, storage, identity, and connectivity between environments (VPN, ExpressRoute, Direct Connect, peering, and transit). Manage and support Kubernetes (EKS, AKS, and on-prem clusters), container registries, service meshes, ingress controllers, and supporting middleware. Write and maintain Infrastructure-as-Code (IaC) using Terraform and platform-native tooling (CloudFormation, ARM/Bicep); participate in drift detection, peer review, and policy-as-code on all infrastructure changes. Support capacity planning, cost optimization (FinOps), and rightsizing efforts across cloud and on-prem footprints. Observability, Reliability & Incident Response Build and maintain the observability stack — metrics, logs, traces, and synthetic monitoring — and help define SLOs, SLIs, and error budgets for critical services. Participate in on-call rotations and act as an incident responder for production events, contributing to root-cause analysis and tracking corrective actions to completion. Support chaos engineering exercises, game days, disaster recovery testing, and business continuity exercises to validate the resilience of hybrid systems. Security & Compliance Partner with Information Security to implement shift-left security practices: SAST, DAST, SCA, secrets scanning, container image scanning, and IaC policy scanning in every pipeline. Manage secrets, certificates, and identity infrastructure across cloud and on-prem environments (AWS Secrets Manager, Azure Key Vault, IAM, RBAC). Help maintain audit readiness for SOC 2, PCI-DSS, and other regulatory frameworks applicable to mobility and payments processing by producing evidence of pipeline controls, access management, and change governance. Cross-Functional Collaboration Partner with Software Engineering to ensure new services are built with pipeline, observability, and infrastructure templates from day one — not bolted on later. Work with Architecture to align platform direction with the broader technology roadmap, including migrations between legacy and modern platforms. Document runbooks, pipeline standards, and infrastructure patterns so that knowledge is shared across the team. Respond to system issues, participate in high-priority incident calls, and support emergency activities outside of standard hours as needed. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience. 3+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. Hands-on experience operating production systems in at least one of the following: AWS, Azure, or on-premises data centers, with an interest in developing depth across a hybrid environment. Experience with CI/CD platforms, specifically Azure DevOps and GitHub Actions (or comparable: Jenkins, GitLab CI, CircleCI), including writing and maintaining pipeline-as-code. Working experience with Infrastructure-as-Code (Terraform preferred; CloudFormation, ARM/Bicep, Ansible, Puppet, or Chef a plus). Experience with container orchestration (Kubernetes — EKS, AKS, or self-managed) and container build/registry workflows (Docker, ACR, ECR, Harbor). Proficiency in scripting and automation in one or more of: Python, Bash, PowerShell, Go, or TypeScript/JavaScript. Working knowledge of Git workflows, branching strategies, and code review practices. Familiarity with observability tooling such as Datadog, New Relic, Splunk, Prometheus, Grafana, ELK, or Azure Monitor / CloudWatch. Willingness to participate in on-call rotations and respond to production incidents. Clear, concise written and verbal communication skills. Preferred Qualifications Experience in mobility, transportation, tolling, parking, or other regulated, high-volume transaction-processing environments. Exposure to compliance regimes such as SOC 2, PCI-DSS, ISO 27001, or FedRAMP. Hands-on experience with service mesh, API gateways, or zero-trust networking patterns. Experience with FinOps practices and cloud cost management tooling (CloudHealth, Apptio, native cost explorers). Experience migrating workloads between on-prem and cloud, or between cloud providers. Relevant certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator / DevOps Engineer Associate, Certified Kubernetes Administrator (CKA), HashiCorp Terraform Associate. Familiarity with data and AI/ML platform operations (model registries, feature stores, ML pipelines). What Success Looks Like in the First 9 Months Within 90 days: ramped up on the team's CI/CD platform, infrastructure, and observability stack across AWS, Azure, and on-prem; owning at least one pipeline or service area independently. Within 6 months: contributing measurable improvements to deployment frequency and change failure rate for owned pipelines; actively participating in the on-call rotation and incident response. Within 9 months: recognized as a go-to contributor for at least one platform domain (CI/CD, cloud infrastructure, observability, or security); mentoring newer engineers and contributing to team standards. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: Mississauga/Toronto/Kitchener/Waterloo/Cambridge Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job title: Intermediate Software Engineer   What your day-to-day will look like: ·       Identify, prioritize and execute tasks in the software development life cycle ·       Work with business to iterate over software requirements ·       Develop tools and applications by producing clean, efficient code ·       Automate tasks through appropriate tools and scripting ·       Analyze and debug systems ·       Perform validation and verification testing in a test-driven manner ·       Review the work of others, and invite others to review your work ·       Collaborate with internal teams and vendors to fix and improve products ·       Ensure software is up-to-date with latest technologies   What qualifications we’re looking for: ·       Experience writing clean code that performs well at scale using Java ·       Experience with Spring Boot ·       In-depth knowledge of relational databases (e.g. Microsoft SQL Server, MySQL) ·       Solid experience writing RESTful API endpoints ·       Absolutely love TDD and have working knowledge of it ·       Proficient in GIT ·       Experience using system and performance monitoring tools (e.g. New Relic, DataDog) ·       Experience with automated testing frameworks (e.g. Selenium, Cypress, RestAssured) ·       Excellent organization, critical-thinking and personal leadership skills ·       Self-starter with the ability to deliver with minimal supervision ·       Being okay with the uncomfortable feeling that comes from learning new things ·       Team player ·       Analytical mind with problem-solving aptitude ·       Proven experience as a great Engineer ·       BSc/BA in Computer Science or a related degree   Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset   Bonus points for: ·       Experience with UI development and frameworks (e.g. React, Angular) ·       Nice to have React, Selenium automation and cloud experience ·       Experience with Docker, Kubernetes and Istio ·       Experience with Ansible ·       Experience with Jenkins CI/CD pipeline ·       Linux and IP networking knowledge ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with SAML, OAuth and OpenID Connect ·       Experience working on a SaaS product ·       Experience with Service Oriented Architecture  ·       Knowledge of scripting languages such as Python, Bash or Groovy ·       On-call experience with production grade systems ·       Has mentored others in a professional setting   #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $102,600 $128,300 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote Workplace: Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for an IT Engineer to design the systems behind how people at Baseten get access, stay secure, and move through their time here. This role builds the controls and automation that our IT Operations team runs every day across identity, client platforms, SaaS, and cloud access. The goal is a corporate environment that’s secure by default and easy to use: access that’s right from day one, removed when it should be, and provable at any time. RESPONSIBILITIES - Strengthen our identity platform with strong authentication, clean access models, and least privilege as the default. - Automate the workforce lifecycle so that joining, changing roles, and leaving Baseten are fast, consistent, and need little manual work. - Build reliable pipelines for OS updates, patching, and software deployment that keep the fleet current without disrupting people’s work. - Connect device health to access decisions, so a compliant device is what earns access to sensitive systems. - Recommend identity and security standards for our SaaS and AI tools, and make the secure configuration the easy path for teams adopting new ones. - Bring governance to non-human identities (service accounts, API keys, AI agents) and replace long-lived credentials with better options wherever possible. - Manage configuration as code across identity and endpoints to reduce drift, so audit readiness comes from the systems themselves instead of a separate workstream. - Give IT Operations well-designed tools and guardrails, so they can handle more requests on their own, safely. REQUIREMENTS - 5+ years in IT engineering or corporate security engineering, ideally at a cloud-native company. - Strong grounding in identity: SSO, MFA, provisioning, and the protocols behind them. - Hands-on experience engineering macOS fleets at scale: MDM, configuration profiles, app packaging and deployment, and endpoint visibility and EDR tooling. - Experience automating real workflows in code (Python, Bash, or similar), and comfort with infrastructure-as-code. - A working understanding of SaaS and cloud access risks, and how to reduce them without blocking the business. - Good judgment about when to build, when to buy, and when to leave something alone. - Clear writing, and a track record of working across IT, People, Engineering, Legal, GRC and Security. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Crusoe is looking for an Escalations Manager to own customer-impacting escalations, coordinate engineering teams, and reduce escalation rates.

Location: Kazakhstan OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: EMEA OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Georgia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Latvia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋