Конференція Highload fwdays'19 — Autoscale, MySQL 8.0, Neo4j, Kafka and AWS Lambda | 05.10 | Київ
To work at Materialise means to work for a better and healthier world... With its headquarters in Leuven, Belgium and branches all over the world, the Materialise Group is best known for its activities in the field of rapid industrial and medical prototyping.
24 июня 2019

Tech Lead Cloud Automation

Киев

Необходимые навыки

• At least Bachelor degree in computer science or related field
• 5+ years in Software Development using C++
• Strong leadership skills (proven Tech Lead experience)
• Good knowledge of design patterns
• Experience and understanding of Cloud computing (IaaS, PaaS, SaaS)
• Experience with CI/CD
• At least intermediate level of English

Будет плюсом

• Experience with Python,
• Experience with cmake,
• Experience with Jenkins,
• Experience with SonarQube

Предлагаем

• Build local & international career
• Contribute in full cycle of product development
• Be a part of future technologies
• Use Learning and development system
• Learn & use English
• Trip to Europe

Обязанности

• Technical leadership in SDK team and Cloud Automation overall
• Participate in strategic planning and design of a structural roadmap of SDK
• Analyze and improve upon exiting systems, services and infrastructure
• Develop and support SDK, building new systems, upgrading existing ones
• Develop and support micro-services for Cloud Automation Platform in software, medical and manufacturing area of business

О проекте

The SDK structural team: the team responsible for maintaining the Materialise SDK, watching over the adherence to the policies, including the management of the 3rd party libraries used in the SDK, maintaining the tools and processes for the proper development and maintenance of the SDK.
The SDK contributors can be any software engineer in Materialise, as long as the contribution to the SDK is in line with the SDK policies.

Automation Platform (AP) hosts generic reused micro-services delivered by SDK & Research and execute them according to scenarios provided by Products. Micro-service (Operation) — a set of algorithms (MTLS API, SDK, scripts) executed on the input data which bring the valuable output for the product application (e.g. 3D printing parts fixing, automatic segmentation of medical images).

Automation Platform satisfies requirements:
• Corporate scale and Elastic scale
• Vendor (Cloud) independent
• Data storage place and origin defines Cloud processing place and data flow regularities
• On-premise option for deployment (e.g. Private Cloud)
The platform architecture follows a mix approach for Cloud computing
• Server-less (micro-services, event-driven)
• Containers (Docker, Kubernetes, etc.)

In particular, all algorithms required by Automation Platform are cross-platform (e.g. supports Linux and Windows), covered by MTLS API and delivered as containers to Cloud by an automated process of CI/CD.
Products define product business logics, sequences (workflows), requirements for operations (micro) services. General purpose reusable micro-services (operations) is SDK & Research delivery.

LinkedIn

Горячие вакансии

Все вакансии

Похожие вакансии

Все похожие вакансии