Job Information
IBM Site Reliability Engineer I in Krakow, Poland
Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
Your role and responsibilities
You
You are an Engineer based in Poland and are passionate about problem solving and reliability. Your team can count on you to solve hard problems across the entire Apptio Portfolio.
You are comfortable working with other SREs, developers, and support to help provide value to the broader organization. You take opportunities to fix problems and step outside your comfort zone to develop your skillset.
US
The Platform and Site Reliability Engineering team - PRE - at IBM is responsible for enhancing and maintaining our Kubernetes platform and driving the adoption of SRE best practices across our engineering teams.
In this role, you will be part of a team that looks after the development and support of the Apptio Kubernetes Platform in AWS. Our team works closely with our product teams to raise the quality and reliability bar for our products and services and provide feedback and guidance for the adoption of cloud technologies in all stages of the development cycle.
In a typical day on this role, you will interact with Linux, Kubernetes, ArgoCD, DataDog, Docker, Terraform, GitHub, Confluence, Jira, Slack, and AWS. If you don’t know all these tools, don’t worry, we are not expecting that you know them all, we understand that technology evolves quickly.
Required technical and professional expertise
Experience in a large-scale, distributed Linux/Unix environment
Experience with container and scheduling technologies (e.g., Docker, Kubernetes, Helm)
Familiarity with cloud providers such as AWS, Azure, or GCP
Experience with declarative infrastructure tools (Terraform, CloudFormation)
Understanding of IaC, GitOps, CI/CD and SRE principles
Ability to work both collaboratively and autonomously
Preferred technical and professional experience
Experience with any high-level programming languages (Golang, Python)
Experience with Observability tooling (e.g., Prometheus, Grafana, DataDog)