Docker：34,561 個職缺
瀏覽與 Docker 相關的開放職缺。
Middle DevOps Engineer
A Middle DevOps Engineer designing and maintaining AWS-based cloud infrastructure (ECS, Lambda, S3, Bedrock), CI/CD pipelines, Docker/Kubernetes workloads, and infrastructure-as-code with Terraform/Ansible.
DevOps-инженер (ML/AI, DevSecOps, MLSecOps)
В Блоке Информационной безопасности в Департаменте координации защиты информации в Управлении безопасности инфраструктуры открыта вакансия для DevOps-инженера (ML/AI, DevSecOps, MLSecOps) Ключевые задачи:…
Data Engineer (Middle / Strong Middle)
Data Engineer at DareBay, a UGC marketplace platform connecting brands with content creators, owning and scaling the data infrastructure. Builds batch/streaming ETL/ELT pipelines using Python, advanced SQL, Spark/Flink, Airflow, dbt, Snowflake/BigQuery/Redshift, Kafka, Docker, and Kubernetes.
DevSecOps Engineer
Senior DevSecOps Engineer leading security operations and infrastructure automation for on-premise environments. Bridges development, security, and operations by integrating SAST/DAST/SCA scanning into GitLab CI, leveraging CrowdStrike for threat detection and Cloudflare for perimeter security.
Strong Middle AI-Native SDET
Middle SDET using AI agents throughout the SDLC — from test design and code exploration to failure analysis and CI runs — building API, UI and E2E automation for web and mobile apps primarily in TypeScript/JavaScript or Python.
SRE-инженер
Design fault-tolerant architecture and observability (metrics, logs, tracing) for corporate IT infrastructure; investigate incidents, run post-mortems, set up meaningful alerting and reliability processes. Core stack: Prometheus, Grafana, Loki, Tempo, Docker, Kubernetes on Linux.
Data Engineer (команда RecSys)
Build and maintain batch ETL pipelines (Airflow) and real-time stream processing (Spark Streaming, Kafka) for analytical data marts and ML models, and grow the feature store. Stack: Python, SQL, Airflow, Spark, Kafka, ClickHouse, MongoDB.
Application Security Engineer / DevSecOps
Application Security Engineer / DevSecOps for an international holding, embedding Secure SDLC and SAST/DAST/IAST tooling into CI/CD pipelines across AI projects. Core stack: Linux, Docker, Python, SAST/DAST/IAST scanners, with threat modeling and AI-generated code review.
System administrator
System administrator at product company Ozzylogik, configuring and maintaining wired/wireless networks (TCP/IP, BGP, OSPF, VLANs, MikroTik/Cisco/Fortinet, WireGuard/OpenVPN), Linux servers (Debian/Ubuntu/Rocky), monitoring (Zabbix/Prometheus/Grafana) and virtualization (Proxmox) for internal big-data products.
Software Engineer ML/Gen AI Platform Support
Senior engineer who designs, builds, and maintains an internal Machine Learning and Generative AI platform on AWS (SageMaker, Bedrock), creating shared tooling, IaC, CI/CD, and observability that lets other teams build, deploy, and operate ML and GenAI solutions at scale.
QA Automation Engineer / AQA
QA Automation Engineer building and maintaining UI and API autotests in Python (pytest, Playwright), performing manual testing, and managing Docker/GitLab CI test infrastructure for a data analytics platform serving banks, retail, and SMBs.
Senior Full-Stack Developer (PHP/Symfony + Vue.js)
Senior developer building key modules of an enterprise ERP system for online-marketing and service-production operations: backend in PHP 8.x / Symfony 7.x with PostgreSQL, Redis, RabbitMQ and architectural patterns (DDD, Hexagonal), plus frontend in Vue 3/React + TypeScript.
DevOps-инженер
Burger King Russia's AI Department is hiring a remote DevOps Engineer to automate CI/CD pipelines, manage Kubernetes-based infrastructure, and ensure system reliability. Day-to-day work centers on GitLab CI, ArgoCD, Ansible, Docker, and the Prometheus/Grafana monitoring stack.
Middle DevOps инженер
Middle DevOps engineer at KMF Bank in Almaty. Day-to-day work involves implementing DevOps methodology, building CI/CD pipelines, administering Linux servers, and automating infrastructure using Kubernetes, Docker, GitLab CI, and a broad monitoring/observability stack.
Data Scientist NLP/LLM
Builds end-to-end production AI agents using GigaChat, open-source generative models, Python/PyTorch, and LLM tooling. The role develops offline and online evaluation metrics, tracks language-model research, and works with neural-network architectures, MLOps, and advanced ML/statistics.