Aspire Software is looking for a DevOps Engineer to join our team in Lebanon.
Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.
Role Summary: We’re hiring a Platform Engineer to help us improve the reliability and reduce the complexity of our platform. This is a blended role across infrastructure, automation, and development – ideal for someone who works across the stack, makes pragmatic decisions, and treats both development and operations teams as their customers.
You will focus on two interconnected areas: maintaining and evolving our platform components (WildFly, ActiveMQ, Keycloak, and the Java abstraction layer on top of them), and improving our release engineering pipeline (GitLab, Jenkins) and Deployment Manager tooling with Ansible. We move fast and value people who can hit the ground running – you’ll have real ownership from day one.
What You’ll Do
Own and evolve our platform components – WildFly, ActiveMQ, Keycloak, and the Java abstraction layer that makes them usable for product teams
Improve the release engineering pipeline (GitLab, Jenkins) and build automation – making deployments more reliable and less error-prone
Maintain and extend the Java-based Deployment Manager and Ansible playbooks for virtual machine environments (on-premises, Azure, AWS)
Question complexity and simplify wherever justified – your goal is a platform that teams don’t have to think about because it just works
Support the migration of on-premises infrastructure to Azure or AWS
Collaborate with development and operations teams – you serve both as customers, not as a back-office function
Use AI tools actively to improve test coverage, documentation quality, automation, and problem-solving
How You Work
We’re hiring for mindset as much as skills. The right person for this role:
Improves what exists rather than advocating for rewrites – you respect what’s running in production
Constantly questions whether complexity is justified – and has the conviction to simplify it when it isn’t
Treats product and operations teams as customers – you gather feedback, iterate on solutions, and measure success by whether people actually want to use what you’ve built
Takes pride in making things boringly reliable – predictable, rock-solid, unsexy but excellent
Embraces AI as a genuine part of the daily craft – not experimentation on the side, but real working habits that make you faster and better
Works independently and stays structured – prioritises effectively and communicates clearly
Is comfortable with ambiguity and can create order where there isn’t any yet
Background in IT Operations, Systems Administration, or Site Reliability Engineering
Hands-on experience with automation tooling – especially Ansible – and scripting (Bash, Python)
Solid Java development skills – enough to maintain and extend our Deployment Manage and platform abstraction layer
Experience with Linux/Windows virtual machine environments and cloud administratioN (Azure and/or AWS)
Familiarity with platform infrastructure components – application servers, message queues, or authentication platforms – you’ve worked with the category even if not our exact stack
Proven, hands-on use of AI tools as a core part of your workflow – not just awareness
Professional-level English, written and verbal
Nice to Have
Direct experience with our stack: WildFly, ActiveMQ, Keycloak, or Solr/Elasticsearch
Experience designing and executing a search platform migration or replacement
Experience administering GitLab CI/CD pipelines and Jenkins
Familiarity with containerisation (Docker, Kubernetes) – we use virtual machines today but the landscape is evolving
Italian or German language skills – useful but not required
You don’t need to match every technology we use. The ability to learn quickly and bring a pragmatic, simplification-first mindset matters more than an exact stack match.
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