DevOps Database Administrator

emagine Consulting; France; À distance; EUR 50 000 - 90 000; Plein temps

Résumé du poste

An innovative consulting firm is seeking a skilled DevOps Database Administrator to join their remote team. This role involves implementing cutting-edge DevOps practices, focusing on Infrastructure as Code and automation, while ensuring high availability and resilience in data streaming solutions. The ideal candidate will possess strong Kafka administration skills and a solid background in DevOps, along with excellent communication abilities. You will collaborate with diverse teams to deliver impactful solutions, making this an exciting opportunity to contribute to transformative projects in a dynamic environment.

Qualifications

• 2+ years in Kafka administration with a focus on high availability.
• 3+ years in DevOps with experience in Infrastructure as Code.

Responsabilités

• Implement DevOps practices focusing on automation and scalability.
• Work closely with stakeholders to ensure timely deliverables.

Connaissances

Kafka Administration

DevOps Practices

SQL Performance Tuning

Data Engine Resilience

Communication Skills

Description du poste

Job Title : DevOps Database Administrator

Work from : Remote

On-boarding : First day onsite for onboarding in Leiria.

Start : ASAP

Requirements :

1. 2+ years in Kafka administration.
2. 3+ years in DevOps.
3. Basic knowledge of SQL language and performance tuning.
4. Experience with a broad landscape of data engines with resilience and high availability.
5. Able to work autonomously, proactively, demonstrate leadership, ownership, coordination, and continuous improvement.
6. Good presentation and excellent communication skills (written, listening, speaking), with a culture-centered attitude, teamwork, and high motivation.

Responsibilities :

1. Work closely with internal and external stakeholders, including developers, architects, and managers from different locations, to ensure timely deliverables.
2. Implement DevOps practices and principles focusing on Infrastructure as Code, automation, and scalability.
3. Install, configure, and maintain real-time data streaming solutions using Kafka and other data solutions (e.g., Data Transformation / ETL).
4. Orchestrate systems with a high focus on resilience and high availability.
5. Evaluate and implement data technologies, tools, and utilities.
6. Analyze resource usage, growth patterns, and capacity planning for infrastructure.
7. Provide Level 2 support, and if applicable Level 3 support, for changes, requests, and incidents in production environments, including participation in 24/7 on-call support.