Sr. Azure DevOps (Infrastructure as Code) Engineer

Beschreibung

Skills Required

Strong experience with Infrastructure as Code (IaC)

Strong knowledge of Azure's offerings and Infrasture services.

Strong and proven automation experience in Azure DevOps ,Automation Pipeline

Good Knowledge on Azure Network service , Security , Storage services

Strong knowledge of AKS, container isolation and multi-tenancy

Good knowledge of container technologies e.g., Docker

Good to have Azure Solution Architect & DevOps Certification AZ 303 ,AZ 500, AZ 400.

Test driven development understands semantics of unit tests and end to end integration tests and the imperative for continuous
testing

Excellent communication in English, written and spoken



Responsibilities:

Develop all infrastructure as code (IaC) artefacts in Azure DevOps, with specific focus on Kubernetes, Kafka, Zookeeper. Basic
knowledge of SAP infrastructure and deployment strategies

Develop CI/CD process for IaC and Microservice (Spring Boot) deployments

Design and maintain an agile release concept for IaC, Mircoservices and data

Implementation of cloud-native architecture vision using Azure

Further enhance DevOps automation features e.g. by creating pipelines

Communication and rollout of new DevOps automation features to application development teams

Ensure communication flow with regards to automation and application runtime to various stakeholders

Align with Security lead on quality controls and continuous testing best practices

Design and maintain the availability and stability of all long-living state (e.g. the event store)

Design and implement lifecycle (non-prod vs prod) for data

Support and give guidance on the test-driven development practices and the implementation thereof in the pipelines.

Continuously work with the teams to improve all components as the use-cases grow more complex

Train other engineers

Ensure compliance with the company wide digital governance framework, audit

Documentation of all of the above (readme, wiki and JIRA)

Presentation of developed concepts


Frameworks / Tools:

Azure DevOps, Ansible, yaml-pipelines, Helm, build agents, scripting (bash, python)

Container-based (Docker / Kubernetes) orchestration

High availability of statefulness using cloud-native techniques

Can read code written in industry standard polyglot (Java/ Spring/ Python/ JS)

DB-queries (also NoSQL) e.g. SAP HANA, Postgres

Cloud managed services (e.g. Blob Storage, databases, Insights, Security Center)

Build and deployment tools such as Git, Gradle, Maven

API Gateways, HTTPS, REST/ODATA/GraphQL/etc API-specs

State-management e.g. Zookeeper, Schema Registry, Event Store

Aqua, DataDog,