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Senior Site Reliability Engineer

Salary undisclosed

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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 Apptio 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.

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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 RESTful systems and their APIs
Familiarity with cloud providers such as AWS, Azure, or Google Cloud Platform
Experience with declarative infrastructure tools (Terraform, CloudFormation)
Experience with observability (e.g., Prometheus, Grafana, DataDog)
Understanding of IaC, GitOps, CI/CD and SRE principles
Experience with any high-level programming languages (Golang, Python)
Security mindset and focus
Ability to work both collaboratively and autonomously
Mentoring peers and knowledge sharing skills
Great communication skills
Fluent English language skills

Other Relevant Job Details

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

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.

About Business Unit

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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