SoftServe is the largest Ukrainian IT company, a team of 8000+ thinkers and makers, true professionals and good people. We like what we do and do it well. For us, that means a lot.
16 октября 2020

Senior DevOps Engineer (GCP), ID 57166


At SoftServe, we are advisors and providers who operate at the cutting-edge of technology. With you, we set goals and reach them to grow better together, learning from both successes and mistakes. We are a team of 8 000+ thinkers and makers in more than 30 offices worldwide, true professionals, and good people, who like what we do and do it well.
We’re working with a top Real Estate agency on building a mobile application for thousands of agents. We communicate with Top experts in Real Estate business and help them expand their business.

Mature DevOps Engineer with experience in
• Cloud hosting providers such as GCP, AWS, Azure (GCP preferred)
• Cloud orchestration and/or configuration management with Terraform
• Creating and implementing containerization strategies using Docker
• Microservice orchestration using Kubernetes
• Continuous integration and delivery (CI/CD)
• Supporting databases, including backup and recovery procedures, such as CloudSQL, BigQuery, MongoDB
• At least one high-level programming language, such as Python (preferred), Ruby, Perl
• Working and influencing across teams
• Guiding the direction of one’s own teams
It would be a great plus if you are
• GCP-certified as Google Cloud Architect and/or Google Data Engineer
• Having a deep understanding of ML training cycle, ML model storage & deployments
• Experienced with IaC: Terraform (preferred), Cloudformation
• Supporting databases, including data warehouse (DWH), such as CloudSQL, BigQuery, MongoDB, Oracle, AWS Redshift
• Experienced with streaming and integration pipelines, such as Pub/Sub, Dataflow, DataFusion, Spark
• Experient with workflow orchestration, such as Composer, Apache Airflow, AWS Glue, Informatica(ETL)

• Provisioning of GCP cloud infrastructure
• The data team (ML data scientists)
• Configuration of CI/CD pipelines for ML workflows
• Preparation and driving of the deployment of machine learning algorithms into production
• Management of operation aspects (performance, uptime, reliability, and resilience) of business-critical data assets
• Identifying improvements to infrastructure and operational procedures
• Conducting internal training and coaching for the research team and developers on proper cloud usage

• Support your technical and personal growth — we have a dedicated career plan for all roles in our company
• Enjoy flexible working hours — whether you are a morning bird or a sleepy-head it is ok with us
• Take part in internal and external events where you can build and promote your personal brand
• Give you access to experienced specialists who are very willing to share their knowledge
• Show you our casual atmosphere — no dress code
• Care about your individual initiatives — we are open for them, just come and share your ideas
• Make you familiar with our structured career path and development opportunities
• Share many other advantages with you such as attractive salary, modern office, a package of benefits, language classes


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