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Deployed AI Engineer integrating state-of-the-art AI software into complex defence systems (e.g., aircraft mission control), working across APIs, databases, and network protocols using Python, C++, and Linux.
Designs and maintains on-premise Kubernetes infrastructure for AI defense systems, focusing on observability, security, and MLOps platforms to support AI model deployment and monitoring in high-security environments.
Helsing is a defense AI company seeking a Staff Software Engineer to architect and build resilient, high-performance backend systems for edge hardware. The role involves leading technical design, mentoring engineers, and working primarily with Rust and Python to deploy machine learning solutions in complex environments.
The DevOps Engineer will manage CI/CD pipelines, cloud infrastructure, and monitoring tools to ensure system reliability and security. The role requires hands-on experience with AWS, containerization, and automation scripting in a collaborative environment.
The Principal DevOps Engineer will design and build a greenfield, cloud-native iGaming platform on AWS from scratch. The role involves setting up infrastructure, Kubernetes, CI/CD, and observability standards using tools like Terraform, Argo CD, and various AWS services.
Мы - геораспределенная команда сопровождения текстового и голосового каналов, отвечающая за бесперебойную связь между операторами контакт-центра и бизнес-клиентами банка. Дивизион «Клиентский опыт и обслуживание»…
The Company Glassbox's mission is to empower enterprises to shape trusted, frictionless digital experiences. Glassbox is a leading force in shaping digital experiences. It helps organizations uncover digital…
SRE-инженер разрабатывает и поддерживает отказоустойчивые микросервисы в «Кошелёк» Сбербанк Онлайн, автоматизирует эксплуатацию и проектирует наблюдаемость (метрики, алертинг, дашборды) для обеспечения доступности сервисов.
Maintains and improves the reliability, performance, and uptime of critical applications and infrastructure for a European tech consultancy, using automation, monitoring, and on-call support.
Salary: 42.000 - 73.000 € per year Requirements: Wir suchen sehr gute Deutschkenntnisse auf mindestens C1-Niveau in Wort und Schrift. Wir erwarten mindestens 5 Jahre Berufserfahrung in Site Reliability Engineering,…
Selecty — аккредитованная IT-компания, оказывающая услуги в сфере IT-аутсорсинга. Работаем на рынке более 10 лет, с 2013 года успешно решая задачи любой сложности в рамках цифровой трансформации для крупного бизнеса.…
Build real-time streaming pipelines with Kafka and Flink on AWS, processing high-volume vehicle and infrastructure data for intelligent mobility applications.
Designs and maintains ultra-low-latency global trading networks, deploying hardware-timestamped monitoring and multicast market-data paths for quantitative trading infrastructure.
An internship role focused on contributing to data engineering and DevOps projects in fintech, collaborating with mentors to design solutions, build APIs, scripts, and enhance services using tools like BigQuery, Airflow, Kubernetes, and GCP.
Who we are Bitrock is a high-end consulting and system integration company, strongly committed to offering cutting-edge and innovative solutions . Our tailored consulting services enable our clients to preserve the…
This role involves providing production support and site reliability engineering for a data analytics and reporting platform within the financial sector. The engineer will utilize Google Cloud technologies, observability tools, and AIOps practices to ensure platform stability and performance during trading hours.
Note: Successful candidates need to be comfortable with working on weekends and shift as and when required Key Responsibilities: Involved in SDLC process Streamline software delivery Automate infrastructure Maintain…
МТТЕХ - центр разработки Московского транспорта. Мы создаём ИТ-решения, которыми ежедневно пользуются миллионы пассажиров: от оплаты и планирования маршрутов до беспилотного трамвая Что нужно делать (Обязанности):…
The MLOps & DevOps Engineer will design and maintain scalable cloud infrastructure and automated CI/CD pipelines on GCP to support AI platforms and RAG architectures. The role focuses on bridging data science and engineering by managing ML lifecycles, monitoring model performance, and ensuring system reliability.
Senior DevOps Engineer for a long-term project focused on SAP S/4HANA migration and AWS cloud platform development, managing Kubernetes infrastructure, CI/CD pipelines (GitLab, ArgoCD), and monitoring with Prometheus, Grafana, and Loki.
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