Mid/ Senior DevOps Engineer (B2B)

DevOps

Mid/ Senior DevOps Engineer (B2B)

DevOps
Wrocławska 54, Katowice

Reply Polska Sp. z o. o.

Full-time
B2B
Mid
Hybrid
26.52 - 42.43 USD
Net per hour - B2B

Job description

Responsibilities


  • Using powerful and state-of-the-art open source and cloud technologies work on scalable, cost-effective and flexible solutions for our customers.
  • Build and deploy infrastructure and applications for complex data projects.
  • Engage with innovative topics such as artificial intelligence, cloud, IoT, analytics, next-gen DBs.
  • Advise our customers in system architecture, automation, performance optimization, security.
  • Communicate regularly in an efficient and professional manner with our customers and stakeholders.


Qualifications


  • We are looking forward to your completed studies in computer science, mathematics, physics or a similar qualification.
  • Programming experience using languages such as Python, Java, Scala.
  • Extensive experience with Microsoft Azure or/ and AWS.
  • Extensive familiarity with containerization and container. orchestration (Docker, Kubernetes, OpenShift, Helm).
  • Experience with Infrastructure as Code technologies (Terraform) and CI/CD (Jenkins, Gitlab, ArgoCD).
  • Experience with some of the following technologies:
  • databases (PostgreSQL, ELK, Redis), object storage (Blob Storage, S3).
  • real-time streaming (Kafka, EventHub, IoT Hub, ..).
  • Very good English skills round off your profile.
  • Availability to work in a hybrid mode with at least 2 visits in the office per month.


About Data Reply


Data Reply, as part of the Reply Group, offers a wide range of services to help customers to become data driven. The team is active in various industries and business areas and works closely with clients to enable them to achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects on the topic of "Data Driven Enterprise". Our experts focus on the development of Streaming and Event-Driven applications, Data Platforms and Machine Learning solutions - automated, efficient and scalable - without compromising IT security.

Tech stack

    Cloud

    regular

    CI/CD

    regular

    Docker

    regular

    Terraform

    regular

    Kubernetes

    regular

    Java

    regular

    Python

    regular

    Scala

    regular

Office location

Published: 26.12.2025