Senior Android Developer - Stockholm OnSite

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

The leading global platform for verifying contacts and blocking unwanted communication, serving over 433 million users monthly. The company enables safe and relevant conversations between people while helping businesses connect with consumers efficiently. Their core mission is to build trust in communication worldwide.

As Senior Software Engineer, Android, you will be responsible for enabling and performing highly efficient application development, improving services for the Android platform. You will be deeply involved in the whole cycle of product development, from idea generation to delivery.

This is a fully onsite position, requiring you to work from the office five days a week.

You will be:

• developing and maintaining high-quality Android applications and reusable platform libraries that support multiple products and internal teams,

• designing, implementing, testing, and maintaining public APIs and SDKs, along with clear documentation for internal and external consumers,

• delivering complex features, improving user-facing functionality, and optimizing the performance of existing codebases,

• analyzing performance and reliability metrics, proactively refactoring code, and optimizing memory usage and battery consumption across diverse Android devices,

• writing unit and integration tests to ensure code quality and improve test coverage,

• participating in code reviews and technical design discussions, promoting best engineering practices,

• collaborating with product and business teams, providing technical expertise to support informed decisions,

• mentoring junior developers, taking ownership of engineering standards, and fostering a culture of continuous learning and growth,

• collaborating with the release team to ensure continuous delivery of high-quality code and timely resolution of bugs.

Your profile:

• 5+ years of experience in Android development,

• strong knowledge of the Android SDK,

• solid proficiency in Kotlin and Java,

• experience working with RESTful APIs,

• experience with SQL databases,

• a good understanding of version control tools, particularly Git,

• excellent debugging and problem-solving skills,

• experience working in Agile environments,

• fluency in English, both written and spoken,

• a proactive approach to code quality, performance optimization, and continuous improvement,

• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

• Work from the European Union region and a work permit are required.

Nice to have:

• experience publishing and maintaining libraries or SDKs to artifact repositories,
• familiarity with other mobile operating systems, like iOS,
• firebase tools such as remote config,
• AB testing, Crashlytics, and user acquisition tools such as Appsflyer,
• CRM tools such as Clevertap,
• experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.,
• interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process:

CV review – HR call – Interview – Task - Client Interview – Decision