Software Engineering DevOps Engineer

2 tygodni temu


Kraków, Lesser Poland IBM Pełny etat
Introduction
IBM Data & AI DevOps team is responsible for creating automated processes to develop, test, deploy, and maintain software systems across the whole software development lifecycle. Whether you are working on projects internally or for a client, continuous integration and continuous deployment is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of. IBM Data & AI Development team is looking for enthusiastic and talented DevOps engineer to join us. Our services belong to IBM Knowledge Catalog product portfolio, tightly integrated with IBM Cloud Pak for Data where customers can access a suite of leading data and AI capabilities in a unified experience.

Your Role and Responsibilities
As a DevOps engineer you will be responsible for design, development, maintenance and support of the IBM
Knowledge Catalog services through the full systems development lifecycle on both SaaS and Hybrid Cloud
platforms . You will work in an agile, collaborative environment, adhering to industry best practices for quality,
performance, scalability, resiliency and security. You are curious to learn as demonstrated by your up-to-date
technical knowledge and demonstrated ongoing learning. You are a good team player, self-directed, with working
knowledge of Agile methodologies and principles. We seek an applicant who will thrive in an open, dynamic,
flexible, fun, spirited, collaborative environment; an individual who desires creative freedom and the opportunity to
work in a high performing team.

As a DevOps engineer, you will contribute to a thriving and growing DevOps Engineering team. You will
work in a Kubernetes based micro services environment to support our bleeding edge cloud services. This
will include custom solutions, as well as open source DevOps tools (build and deploy automation,
monitoring and data gathering for our software delivery pipeline). You will also be contributing to our continuous improvement and continuous delivery while increasing maturity of DevOps and agile adoption
practices.

PLKR_24

Required Technical and Professional Expertise
  • Professional experience in a DevOps role: 2-3+ years for Mid level, 5+ for Senior
  • Ability to work on Linux Operating system environments
  • Experience with deploying software using orchestrators /scripts/automation on Hybrid and Public clouds
  • Ability to write shell/python/ PERL or any unix scripts
  • Working knowledge on Docker & Kubernetes
  • Ability to create pipelines using Jenkins Travis or any CI/CD tool
  • Working knowledge and ability to use code analysis and code coverage tools, for example, Sonarqube,
  • Jacoco, Pmd, Findbug, Twistlock, Aquasec and others
  • Working knowledge Git as a source control system and defect tracking system
  • Ability to debug and troubleshoot deployment issues
  • Excellent communication and soft skills
  • Good team player
  • Flexible and quick learner
  • Strong sense of ownership of deliverables
  • Weekend and holiday coverage may be required
Preferred Technical and Professional Expertise
Familiarity with docker files, Kubernetes yaml files / Helm charts
  • Ability to implement Ansible , terraform scripts
  • Redhat OpenShift Operators experience
  • Knowledge of Gradle/Groovy/Kotlin
  • Linux System experience and Administration
  • Effective cross-functional leadership skills: working with engineering and operational teams to ensure systems are secure, scalable, and reliable
  • Ability to review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations
What we offer:
  • Working for a top 5 IT company according to Forbes 2022 best employers ranking
  • International and prestigious projects
  • Highly skilled teams of experts
  • Wide range of IBM trainings and certificates
  • Access to Udemy, Harvard Business Review, O'Reilly, Interskill, IBM AI Skills Academy
And what is more:
  • Contract of employment
  • Competitive compensation – salary range, depending on your skills and experience
  • Private medical care and life insurance
  • Employee Assistance Program
  • Sport, charity & other networking groups
  • Summer / winter camps for children
  • Discounts with IBM employee badge
  • Referral Bonus Program
  • Home office option
  • No dress code

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