DevOps & Internal Tools (Software) 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

Zakres obowiązków

• 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.

Wymagania

• At least 4 years of practical experience in the DevEx field.
• Extensive practice with Jenkins and CI/CD pipelines - MUST HAVE!
• Ability to orchestrate workflows that connect stored inputs, tool execution, reporting, and artifacts.
• Software development capability sufficient to build internal tools beyond pipeline configuration alone.
• Ability to take ownership of varied engineering tasks and solve problems independently.
• Practical knowledge of using AI and agentic AI tools effectively in engineering work.

• High-level familiarity with Android or iOS application formats, packaging, and build or processing pipelines. Android is especially relevant because the initial pipeline processes Android applications.
• Python is a possible implementation language, but no particular language is mandatory.

Tech stack

• Jenkins
• CI/CD Pipelines
• AI
• DevOps
• Python
• Android
• iOS
• Python