DevOps Engineer for iDgital (Healthcare) (вакансія неактивна)

— 3+ years performing DevOps role
— Strong familiarity with Linux Administration (System/Network/Security)
— Knowledge of deploying and running applications in VMs, Docker containers, Kubernetes
— Designing and implementing architecture approaches for new infrastructure components
— Ongoing architecture improvements in growing startup
— Experience in scaling, performance optimization and troubleshooting
— Experience with a cloud provider: GCP/AWS/Azure
— Experience with GitLab CI/CD, Jenkins
— Git and it’s usage to support SDLC (releases management, new versions deploy and rollback when needed)
— Databases maintenance, troubleshooting and support
— Previous experience supporting prod environment
— Knowledge of messaging services
— Strong knowledge of network concepts
— Knowledge of monitoring tools
— Support full cycle of the development process
— Strong intermediate/Advanced English: written, spoken
— Experience with IaaC, Ansible, Terraform
— Experienced with shell script

Differential
— Team lead experience
— Familiar with Agile Methodologies
— GitLab CI/CD, Jenkins
— Experience with integrating Cloud infrastructure with on-premise
— Experience with Nodejs and Angular applications deployment
— Experience with Security scan tools OWASP/SonarQube/etc will be a plus
— Knowledge of Blue-Green and Canary deployment will be a plus
— Postgres
— Redis
— IaC, Ansible and Terraform
— VPN
— DNS
— GCP Certification
Experience GCP components:
— VM instances
— GKE: Kubernetes
— VPC
— PubSub
— Cloud Storage (Buckets)
— Cloud Build
— CloudSQL
— CloudFunctions
— GCloud API
— Windows Server administration
— Datadog
— Nagios
— Medical images handling (DICOM/HL7). Dimse and Dicomweb protocols

— Work in a friendly high efficient team of professionals, interesting projects.
— Dynamic and challenging tasks;
— The ability to work remotely.
— Flexible working hours.
— Possibility of professional growth.
— Get a chance to work with the latest GCP services and technologies.
— Opportunity to join the Zazmic community of 200+ developers worldwide;
— Opportunity to make a contribution to the medical area and help people around the world.

iDgital is Cloud Based SaaS application that manages orders for Radiologists and can resolve clients’ issues. Clients are hospitals and groups of hospitals that are situated in different countries around the world.
This product team develops a Node.js / Angular web application, the product is in the healthcare field. All deployments are containerized in a large distributed architecture. We have co-developed a Healthcare API with Google that is central to our solution.
The product has been developed from scratch and we already in the release phase, so the ready part is that something used by clients from different countries. We will increase in multiple times amount of clients soon, now we support around 100 facilities, soon this amount will be over 500.
Besides maintaining the product we are working on new custom and technical features, improving the performance of the platform, and a few new major milestones in progress, e.g. on-prem version for the current saas application, improving the mobile app (IOS, Android), integrating a few additional ways of receiving information from the hospitals. Also, we have a few subprojects based on iDGital architecture.
The Digital Assistant performs a variety of specific tasks on behalf of the physician, making it acceptable for the physician to focus solely on the current conditions of their patient. Along with the Digital Assistant ML platform offering end-to-end image and data processing, the radiologist gains quick access to more complete and accurate origin of information.
IDgital offers an end to end Radiology Solution that brings the power of modern computing technology to the field of Radiology in a meaningful way, while remembering that our goal is to always assist the radiologist, never to replace them.
Google Cloud Next ’19 | April 9-11 | San Francisco (presentation) — www.youtube.com/watch?v=Y-yvlt5mVXk

Team
30 people:
4 QA
2 AQA
16 Developers
4 DevOps
1 PM
1 BA
1 Designer
1 HR

Team processes:
— As basic we are using standard git-flow but we added some minor changes to It. This change depends on our environments and our release process. The lifecycle of the developer’s tasks based on scrum (3 weeks sprints), ops team is working by kanban style.
— We have a code review process by 6 BE and 2 FE experienced developers and a knowledge-sharing process for all team members weekly.
— We have a bunch of various processes, some of them are main and some of them are added to make the life of the team and project better. Here is the list of basic ones:
Sprint Planning process;
1 Daily stand up meeting per team (1 for Ukraine team [19 members], 1 for AQA [2 members], 1 for OPS [4 members], 1 for Eng teams from different countries [5 members]);
Sync meetings for QA team once per sprint;
Sync meetings for FE and BE teams once per sprint;
Tech retrospective process;
Retrospective process;
Demo process;
BA process for BA team;
Hotfixes process for maintaining production.

Technical details:
— For version control are used gitlab and CI/CD builds. Almost all deploys are automated.
— Different kinds of testing: manual testing by the best QA team, UI testing by AQA (cypress), unit tests, API integration tests, functional tests, load tests using k6, microservice unit and integration tests.
Now are improving coverage for all types of testing.
— Google cloud and many google services (storage, pub/sub, healthcare, PostgreSQL, Kubernetes, firestore, logging, etc ) for infrastructure. Elastic as additional database.
— Above 40 microservices.
— Additional technologies details are:
Vision Machine Learning using TensorFlow;
Loose coupling through PubSub Messaging;
Auto-scaling microservices through Kubernetes;
REST API and GRPC integrations;
Cloud DataFlow for ETL;
BigQuery for DW and analytics;
Looker for reporting;
Speech recognition development including model development;
Google DialogFlow for IVR development;
Distributed Cloud SQL Database.

Technology stack
Google cloud platform, Node JS, Koa JS, Angular 7, PostgreSQL, Big Query, Dialog Flow, TensorFlow