Position: Senior Azure DevOps with Security background
Company: Intellias
Category: DevOps
Experience required: 3y
English level: upper
Published: 2020-05-01T00:00:00+03:00

**Technology stack**
- AZURE (App Services, BLOBs, SQL DBs, Cosmos DB, Azure Funcs, Azure DevOps, Data Lake, logic apps, others)
- SDLC tools: Jira Software, Confluence, Jira Portfolio, etc.
- Other: Splunk, PaloAlto.

**Requirements**
- 5+ years of experience as a DevOps/Cloud Infrastructure Engineer;
- Bachelor’s or master’s degree in Computer Science or related fields;
- Proven knowledge and expertise in CI/CD best practices (blue/green deployments, canary release, other practices for zero downtime deployments);
- Good understanding of principles: key vault, encryption protocols, VPN, network security, security groups, log management, OS hardening;
- Good knowledge of application vulnerabilities and mitigation practices;
- Secure SDLC, deep understanding of needed security steps and practices;
- Self-motivated, well-organized, detail-oriented and a strong team player;
- Very good communication skills in English both written and spoken;
- Good knowledge of at least one of scripting language;
- Good knowledge of (Azure) PowerShell as a tool for assessment and rollout of configuration;
- Working experience with Azure cloud platform (majority of Azure services, IaC: ARM templates, etc.);
- Experience with virtualization / containerization, release management and artifact repository tools are an advantage;
- To be capable to provide consulting services, in case of demand.

**Responsibilities**
- Building repeatable and automated solutions;
- Augmenting existing monitoring solutions;
- Reporting on key metrics related to role;
- Implement security requirements to solution architecture;
- Compliance audit of configuration of Azure and it’s components;
- Designing and build tooling to augment the workflow of engineering teams;
- Increasing release automation and build release safety metrics;
- Troubleshooting issues occurred in development, production environments;
- To review architecture and infrastructure that are in use;
- To work under optimization and bottlenecks, make it cost effective;
- To review DR infrastructure;
- To conduct improvement roadmap and to be ready to execute recommendations if needed.