Вакансии

Подготовка и настойка тестового окружения (Linux, Windows, MacOS, iOS, Android). Выполнение ручного тестирования продуктов (десктопные и мобильные приложения, утилиты, плагин для web-браузеров).

Location: San Francisco; New York Workplace: Hybrid 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 Every agent on Baseten Sandboxes runs in its own microVM. Agents call models, reach tools and APIs, expose services, and more and more often talk to each other. Networking built into today's cloud providers was not designed for very large numbers of isolated machines that suspend, resume, and exchange data constantly. The Agent Infra team builds its own networking stack for sandboxes, designed from the start for that scale. It runs in user space, with VPP (FD.io http://FD.io) as its main data plane technology, and is built from virtualized network functions (VNF/NFV): carrier-grade, low-latency packet processing designed for very large numbers of agents. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes, storage, and networking are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. You'll build multi-tenant virtual private networking that connects each customer's agents and services privately and securely, using modern overlay technologies. We are building a cloud, not just using one. We want engineers who expose the network as a programmable API and write the code, not operators who push router and switch configuration. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. This role is separate from Baseten's GPU-to-GPU networking. Here you'll own how sandboxes connect to each other, to Baseten services, to customer networks, and to the internet. If you've built user-space data planes, virtualized network functions, or multi-tenant cloud networking and want to design one for agents, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and build the user-space, VPP-based data plane that connects microVM sandboxes to each other, to Baseten services, and to the internet - Build multi-tenant virtual private networking and overlays (for example EVPN, GENEVE, VXLAN) across regions - Expose the network as a programmable API that the rest of the platform calls - Cut latency and raise connection scale for agent-to-agent and agent-to-service traffic - Build routing that sends each request to the nearest region and keeps connections working as sandboxes suspend and resume - Build secure ingress and egress for sandboxes, including firewalling, static egress IPs, and custom domains with managed TLS - Build L7 proxies for request inspection, filtering, secret injection, and auditing - Own per-sandbox addressing, including IPv6, and network isolation between tenants - Build observability for the packet path across guest, host, and network, and debug production issues end to end - Work closely with the compute, storage, GPU infrastructure, and datacenter teams REQUIREMENTS - Experience with user-space packet processing (DPDK, VPP, or similar) or virtualized network functions (VNF/NFV) - Experience building multi-tenant networking in production (VXLAN, GENEVE, VRF) - Experience building a software-defined network, overlay network, or packet-processing data plane in production - You write production code: strong systems programming in Rust, Go, and/or C/C++. Network architects are welcome if they build, not only configure - Experience building cloud networking as the provider, not only consuming a cloud provider's network - Solid grounding in TCP/IP and routing - Experience building or operating proxies, load balancers, or L4/L7 gateways at scale - Experience debugging latency and throughput problems with packet captures, tracing, and profiling - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with VPP / FD.io http://FD.io, our main networking technology - Experience with GENEVE or VXLAN overlays and EVPN - Linux kernel networking: eBPF/XDP, netfilter or nftables, network namespaces - Familiarity with virtual machine networking: virtio-net, vhost, TAP devices, or networking for Firecracker or Cloud Hypervisor - Experience running IPv6 at scale - Background in telecom user-plane or 5G core networking, or in low-latency trading networks - Experience with multi-region traffic routing, anycast, or BGP - Experience with TLS termination, DNS, and egress security controls 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).

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

- Опыт работы в IT Support / Help Desk от 1 года. - Знание Windows, Microsoft 365, основ сетей (TCP/IP, LAN, VPN).

Location: Chisinau, Moldova Responsible for the operation, maintenance, troubleshooting and optimization of Mobile Core PS and IP infrastructure, including legacy EPC and next-generation virtualized and cloud-based Core platforms. The role contributes to the introduction, integration and evolution of NFVI, 5G NSA/SA and 5G Core technologies, as well as to the interworking of PS, CS and IMS domains, ensuring the reliable operation of end-to-end mobile services. Key Responsibilities: 1. Core PS & IP Network Operations Operate, monitor and maintain Core PS network elements and related IP infrastructure, including virtualized/NFVI platforms. Monitor network availability, performance, capacity and key operational KPIs. Identify potential performance and capacity issues and contribute to network optimization. 2. Troubleshooting & Network Analysis Troubleshoot issues related to mobile data, APN, session establishment, mobility, authentication, DNS and IP connectivity. Analyze GTP, Diameter and IP traffic using packet captures, logs and network monitoring tools. Investigate and resolve IP connectivity and routing issues, including BGP, VLAN, VRF, NAT and ACL related problems. Perform root-cause analysis and provide effective solutions for service-impacting incidents. 3. 5G, NFVI & Network Transformation Support the introduction, integration and stabilization of 5G NSA/SA and next-generation Core technologies. Participate in NFVI deployments, migrations, software upgrades and network modernization projects. Support the evolution towards virtualized and cloud-native Core environments. Contribute to testing, integration and troubleshooting during network transformation projects. 4. Roaming & Interworking Support roaming services and troubleshoot issues in cooperation with internal teams and roaming partners. Support troubleshooting of PS/CS/IMS interworking issues related to VoLTE, voice, SMS and other IMS-based services. 5. Technical Collaboration Work closely with internal technical teams, vendors and technology partners to investigate and resolve complex network issues. Participate in incident resolution, technical investigations and network improvement initiatives. Contribute to technical documentation and knowledge sharing within the team. Required Knowledge & Experience: Bachelor's degree in Telecommunications, IT, Computer Science or a related field. 3–5 years of relevant experience in Mobile Core, Packet Core and/or IP networks. Solid understanding of LTE/EPC architecture and good knowledge of 5G NSA/SA concepts. Good knowledge of GTP-C/GTP-U, Diameter, TCP/IP and DNS. Good understanding of IPv4/IPv6, routing, BGP, VLAN, VRF, NAT and ACL. Practical experience with Wireshark/Tshark, packet capture analysis, network monitoring and log analysis. Good knowledge of Linux/Unix CLI. Understanding of NFVI, virtualization and cloud-based/cloud-native Core environments. Basic understanding of CS Core and IMS/VoLTE service flows, including voice and SMS interworking. Good technical English and the ability to communicate effectively with vendors and internal technical teams. Will Be an Advantage: Experience with Ericsson, Huawei or other Mobile Core solutions. Practical experience with NFVI, 5G Core, virtualized network functions and/or cloud-native platforms. Knowledge of CS Core, VAS and IMS/VoLTE, including voice, SMS, USSD and signaling flows. Experience with Diameter-based services related to IMS/VoLTE. Knowledge of Kubernetes and/or OpenStack. Basic Python and/or Bash scripting skills. Experience with network migrations, upgrades and technology transformation projects. Key Competencies: Strong analytical and troubleshooting skills. Systematic and structured approach to problem solving. Strong sense of ownership and accountability. Ability to work effectively under pressure, especially during service-impacting incidents. Teamwork and cross-functional collaboration. Clear and effective technical communication. Ability to learn and adapt to new technologies. Proactive approach to network optimization and continuous improvement.

Задачи: — Устанавливать, настраивать и поддерживать Linux-серверы (Ubuntu, Debian) — Диагностировать и устранять сетевые проблемы и аварии — Настраивать и оптимизировать VPN-инфраструктуру (VLESS, Remnawave) — Анализировать блокировки и ограничения на уровне провайдеров, тестировать обходы — Работать с хостинг-провайдерами и серверными конфигурациями — Вводить серверы в эксплуатацию (production-ready setup) — Тюнить систему под стабильность, отказоустойчивость и производительность — Помогать support-команде в сложных технических кейсах — Проводить сетевую диагностику и анализ трафика — Изучать документацию и ресерчить актуальные изменения в блокировках Требования: — Уверенная работа с Linux (Ubuntu, Debian Server) — Понимание сетей: TCP/IP, OSI, DNS, DHCP, NAT, VLAN, Routing, TLS/SSL, HTTPS, SSH, QUIC — Уверенные навыки сетевой диагностики: ping, traceroute, ss, curl, openssl, dig, tcpdump, wireshark — Уверенная работа с systemd — Базовый опыт с Docker, Nginx — Bash-скриптинг (автоматизация, утилиты) — Опыт работы с iptables / nftables — Умение самостоятельно искать и проверять гипотезы — Чтение технической документации на английском Будет плюсом: — Понимание DPI / ТСПУ и механизмов фильтрации трафика — Практический опыт обхода блокировок (разные подходы и кейсы) — Опыт работы с VLESS / Xray / прокси-решениями — Опыт работы с highload-инфраструктурой Условия: — Удалённый формат работы — Влияние на архитектуру и инфраструктуру — Минимум бюрократии, быстрые решения — Продукт с реальными пользователями и нагрузкой — Сложные инженерные задачи (сеть, блокировки, стабильность)

• Проведение комплексных аудитов (оценка процессов и технических контролей) ИТ и КБ в компаниях группы. • Разработка отчетов с рекомендациями по результатам аудитов для проверяемых компаний и руководства блока.

Location: Remote; Portugal; Armenia; Serbia; Poland Workplace: Remote We are looking for a hands-on DevSecOps Engineer to join a fast-growing software development company delivering fintech and iGaming products. In this role, you will take ownership of security across cloud infrastructure, CI/CD pipelines, and development processes, helping build secure and scalable products. Responsibilities: - Drive the evolution of the company’s DevSecOps function by defining security initiatives, long-term priorities, and promoting a security-first engineering mindset - Partner with the DevOps team to improve the security and resilience of Kubernetes (EKS), Istio, Service Mesh, and related cloud-native infrastructure - Support engineering teams during service transitions by embedding security best practices into operational processes and ensuring effective knowledge sharing - Develop and maintain policy-as-code frameworks and infrastructure validation mechanisms using technologies such as OPA and other compliance automation tools - Improve the security of infrastructure provisioning and deployment workflows across Terraform, Ansible, and other Infrastructure-as-Code solutions - Integrate, maintain, and optimise security testing and scanning capabilities throughout the software development and release lifecycle - Build automation around security monitoring, compliance checks, and operational controls to increase efficiency and reduce manual effort Requirements: - Strong practical understanding of modern DevOps principles and secure CI/CD pipeline design - Hands-on experience with Kubernetes or other enterprise-grade container orchestration platforms - Proven experience working with Infrastructure-as-Code and configuration management technologies such as Terraform, Ansible, Chef, or equivalent tools - Solid background in administering production infrastructure, including web servers, databases, and supporting services - Good understanding of networking concepts, including TCP/IP, routing principles, and the OSI model - Experience securing distributed systems and microservices-based architectures - Proficiency with Git or other source code version control platforms - Practical experience securing cloud environments, preferably AWS, though experience with GCP or other major cloud providers is also valuable - Ability to assess infrastructure security posture, identify vulnerabilities, and implement appropriate remediation measures - Experience implementing identity and access management controls together with security automation practices - Hands-on knowledge of secrets management platforms (such as Vault) and Privileged Access Management (PAM) solutions - Experience integrating SAST, DAST, dependency scanning, container scanning, or similar security tooling into CI/CD workflows - Good understanding of Secure Software Development Lifecycle (SSDLC) principles and familiarity with security maturity frameworks such as OWASP SAMM v2 - English level: Upper-intermediate or higher What’s in it for you: - Fully remote working format - Competitive salary based on experience - Paid annual leave and sick leave - Opportunities for professional and career growth - Supportive environment focused on continuous development and long-term growth

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore Why This Role Exists Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream. Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Развертыванием, настройкой и поддержкой инфраструктуры: ВМ (VMware, SberCloud) и Kubernetes-кластеров (on-prem). Сопровождением веб-окружений: поддержка и оптимизация работы сайтов и проектов на Bitrix (Nginx, PHP-FPM, кеширование, БД), включая внешние облачные панели.

создание с нуля, настройка и эксплуатация автоматизированной системы CI/CD решений; обеспечение бесперебойной работы инфраструктуры и сервисов, мониторинг и восстановление;

• Поддержка CRM и телефонии: администрирование amoCRM (настройка роботов, триггеров, прав доступа) и платформы Скорозвон (запуск проектов обзвона, управление базами). • Контроль интеграций: обеспечение бесперебойной связки amoCRM + Скорозвон + сайт/мессенджеры, оперативное устранение сбоев в передаче данных.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; New Delhi, India Job Summary We are seeking a highly skilled IBM Watson AIOps / IBM Netcool Operations Insight (NOI) Consultant/Developer with hands-on experience in designing, customizing, and implementing enterprise event management and AIOps solutions. The ideal candidate will be responsible for developing customized solutions based on customer requirements, implementing automation, and creating Netcool Impact policies to support advanced event correlation and scenario-based event processing. The successful candidate should possess strong technical expertise in IBM Watson AIOps, Netcool Operations Insight, Netcool Impact, OMNIbus, event integration, and automation, along with excellent problem-solving and customer engagement skills. Key Responsibilities Design, develop, and implement IBM Watson AIOps and IBM Netcool Operations Insight (NOI) solutions. Analyze customer requirements and translate them into scalable technical solutions. Customize IBM Watson AIOps and NOI components to meet customer-specific operational requirements. Develop and maintain Netcool Impact policies for: Event enrichment Event correlation Event suppression Event automation Scenario-based event processing Business logic implementation Create policy-driven workflows to reduce alert noise and improve operational efficiency. Integrate IBM NOI with monitoring tools and third-party systems using REST APIs, JDBC, SNMP, Webhooks, Kafka, or other supported interfaces. Configure and customize IBM Netcool OMNIbus ObjectServer and probes. Develop automation workflows using IBM Watson AIOps Event Manager. Perform event mapping, event normalization, and event enrichment. Implement topology-aware event correlation where applicable. Develop dashboards, reports, and operational views. Troubleshoot and resolve issues related to IBM Watson AIOps and NOI components. Optimize system performance and improve event processing efficiency. Prepare technical documentation, solution designs, implementation guides, and operational runbooks. Provide technical support during implementation, testing, and production rollout. Work closely with customers, architects, and support teams throughout the project lifecycle. Requirements Required Technical Skills IBM Technologies IBM Watson AIOps IBM Netcool Operations Insight (NOI) IBM Netcool Impact IBM Netcool OMNIbus IBM Event Manager IBM Agile Service Manager (ASM) IBM Cloud Pak for AIOps (preferred) Development Skills Netcool Impact Policy Development JavaScript (Impact Policies) SQL REST APIs XML / JSON Shell Scripting (Linux) Python (preferred) Integration Skills SNMP Web Services REST API Integration JDBC Kafka Webhooks Message Queues Infrastructure Knowledge Linux Administration Red Hat OpenShift Docker / Kubernetes Networking Fundamentals TCP/IP SSL Certificates Required Experience 5+ years of experience with IBM Netcool products. 3+ years of experience with IBM Watson AIOps or IBM Cloud Pak for AIOps. Proven experience developing Netcool Impact policies. Experience implementing event correlation and event automation solutions. Experience integrating enterprise monitoring platforms into IBM NOI. Strong troubleshooting and debugging skills. Experience working in production support environments. Experience with customer-facing solution implementation projects. Preferred Qualifications IBM Watson AIOps Certification. IBM Netcool Certification. Experience with OpenShift and Kubernetes. Experience integrating ServiceNow, Maximo, or enterprise ITSM platforms. Knowledge of DevOps, CI/CD, and automation tools. Familiarity with AI-driven event analytics and anomaly detection. Soft Skills Excellent analytical and problem-solving skills. Strong verbal and written communication. Ability to work independently and as part of a team. Customer-focused approach with strong stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Equivalent industry experience will also be considered. Preferred Candidate Profile The ideal candidate should have deep expertise in IBM Watson AIOps and Netcool technologies, with a proven ability to develop customized solutions and Netcool Impact policies that automate event management, reduce operational noise, and address complex customer requirements. Experience in designing scenario-based event correlation and automation workflows within enterprise environments is highly desirable.

• От 3 лет в системном администрировании, DevOps или инфраструктурной ИБ. • Уверенный Linux: вы сами настраивали серверы, а не только смотрели на них.

• Построение VPN-инфраструктуры с нуля под высокие нагрузки. • Развёртывание и настройка Remnawave, Xray и VPN-нод.