
Artificial Intelligence • B2B • Enterprise
Ciklum is a global digital engineering and AI-enabled product and platform services company that helps enterprises design, build, and scale AI-infused software, cloud, data, and automation solutions. It combines UX and product design with engineering, DevOps, data engineering, responsible AI, and edge/IoT capabilities to move pilots into production and deliver enterprise-ready outcomes across industries such as banking, retail, healthcare, hi-tech, automotive, and travel. Ciklum emphasizes platform-agnostic, scalable solutions—covering AI incubators, conversational AI, agentic automation, cloud and edge services, XR/AR/VR, and digital assurance—focused on transforming workflows and customer experiences for B2B enterprise clients.
November 14

Artificial Intelligence • B2B • Enterprise
Ciklum is a global digital engineering and AI-enabled product and platform services company that helps enterprises design, build, and scale AI-infused software, cloud, data, and automation solutions. It combines UX and product design with engineering, DevOps, data engineering, responsible AI, and edge/IoT capabilities to move pilots into production and deliver enterprise-ready outcomes across industries such as banking, retail, healthcare, hi-tech, automotive, and travel. Ciklum emphasizes platform-agnostic, scalable solutions—covering AI incubators, conversational AI, agentic automation, cloud and edge services, XR/AR/VR, and digital assurance—focused on transforming workflows and customer experiences for B2B enterprise clients.
• Work in DevOps team to build new and tune current cloud infrastructure • Create an automated Deployment Pipeline to ship applications and infrastructure to production: • Collaborate with developers, QA and architects to build the pipeline • Provide clear reporting of the pipeline’s to all teams • Support the teams to use the pipeline • Troubleshoot issues and remove blockers with the pipeline or infrastructure • Measure the pipeline and use this data to priorities work to continually improve it • Provide centralized monitoring, logging, reporting and alerting tooling for development teams • Collaboration with developers and QA engineers within one teams for: • Resolving issues and clearing blockers • Priorities changes • Providing environments • Release flow refinements • Quality gates implementation refinements • Versioning refinements
• Hands-on experience with cloud infrastructure provisioning and deployment on AWS, using services such as ECS, RDS, ELB, EC2, S3, CloudFront, Route53, SES, etc • Strong experience with Kubernetes (3+ years) • Good understanding of network security (VPN, routing, etc.) • Practical experience with Linux environments and automation scripting (Bash, Python) • Experience with GitLab CI for developing and maintaining CI/CD pipelines for cloud-deployed applications • Solid experience with Infrastructure as Code using tools like Terraform or AWS CloudFormation • Familiarity with logging and monitoring solutions such as New Relic, Prometheus/Grafana, AWS CloudWatch, ELK stack, etc • Strong knowledge of DevOps best practices and methodologies • English: Upper-Intermediate or higher
• Strong community: Work alongside top professionals in a friendly, open-door environment • Growth focus: Take on large-scale projects with a global impact and expand your expertise • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies • Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice • Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
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🇺🇦 Ukraine – Remote
💰 $172.5M Series A on 2021-04
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
AWS
Azure
Cloud
Google Cloud Platform
Grafana
Kubernetes
Prometheus
Python
Terraform