Position: DevOps Lead
Company: Intellias
Category: DevOps
Experience required: 5y
English level: intermediate

With great experience come great projects. Just imagine: you can develop a product that should completely change the business of one of the world's largest companies!

A newly conceptualized Digital Eco System comprises a a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, and digital products & services.

Responsibilities:

- Design and adopt System Architecture and SDLC best practices;
Improving current approaches, solutions, and processes;
- Research and implementation security best practices of the Cloud and Containerization infrastructures;
- Implement and maintain best practices for CI/CD processes, monitoring, logging, cloud and containerization stacks;
- Automation of deployment and configuration through Infrastructure as Code approach;
- Research and recommend new technologies and toolsets in the DevSecOps area;
- Be an advocate of DevOps and SRE principles and practices.
- Oncall participation is required. Reason for on-call: Solving the P1 incidents in the shortest time on a 24/7 basis:
- DevOps on-call team – responsible for all infra-related questions/incidents.
Time to react: During the 'standby' shift product engineer must - answer the call within 10 minutes, and join the respective Incident Bridge call within 20 minutes to be a part of the Incident Responders team.
- Oncall - shift for the main on-call person from Monday 12:00 till Monday 11:59.

Requirements:
3+ years of experience leading DevOps teams (team lead role);
5+ years of hands-on DevOps experience;
Experience in incident management and post-mortem culture;
Experience working with the latest tools & techniques in the field of data. Advantage if it is data warehousing project, data platforms or marketing automation;
Proficiency in communicating over a text-based medium (MS Teams, Jira/Confluence, Email) and ability to concisely document technical details;
Excellent interpersonal and verbal communication skills;
Excellent English.
Nice to have:
Experience with data modeling/warehousing techniques and data integration;
Experience working with the latest tools & techniques in the field of data. Advantage if it is data warehousing project, data platforms, or marketing automation;
Hands-on experience with Microsoft Azure Data & Analytics Services such as Data Lake, CosmosDB, SQL APIs, and DevOps+++( Building CI/CD pipelines(Gitlab) and complete knowledge of NoSQL concepts).