Mobile DevOps Engineer
Hi! Currently, we are searching for a full-time Engineer to cooperate with our multinational client - a leader in digital identity, authentication, and anti-fraud solutions that enable secure, high-assurance digital transactions. Their platform combines identity verification, e-signatures, mobile security, and fraud prevention to ensure trust across financial, healthcare, and enterprise sectors.
We are looking for an Engineer to improve Developer experience through CI/CD pipelines, QA workflow orchestration, and internal tools. The initial assignment focuses on building a pipeline that processes Android applications through an existing tool and makes execution results easy for the team to review. The later part of the assignment involves developing internal software, including a tool that translates configurations between two tools.
The global headquarters is located in the United States, with offices and entities operating worldwide.
Working hours: 9 AM – 5 PM CEST
Daily tasks
- Build and maintain CI/CD and developer experience workflows, including work with Jenkins.
- Create a QA pipeline that retrieves application inputs from cloud storage, invokes an existing processing tool, and captures results.
- Produce clear execution reports showing success or failure, with easy access to relevant logs, input files, and output artifacts.
- Develop internal tools from scratch, including configuration translation between tools.
- Work independently across pipeline engineering and software development, using AI and agentic AI tools to support work in unfamiliar areas.
Requirements
At least 4 years of practical experience in the DevEx field. Ability to orchestrate workflows that connect stored inputs, tool execution, reporting, and artifacts. Extensive practice with Jenkins and CI/CD pipelines - MUST HAVE!
Familiarity with Android or iOS application formats, packaging, and build or processing pipelines. Software development capability sufficient to build internal tools beyond pipeline configuration alone.
Nice to have: Python is a possible implementation language, but no particular language is mandatory. Practical knowledge of using AI and agentic AI tools effectively in engineering work.
Must have: Jenkins, CI/CD Pipelines, AI, DevOps, Python
Nice to have: Android, iOS, Python