Lead Software Engineer

Aliz is conquering the world by building scalable applications, IT infrastructures, Big Data, and Machine Learning solutions as a certified Google Partner. With offices in Budapest, Singapore, Berlin, and Jakarta, we provide services to a variety of clients from disruptive unicorns to large and reputable enterprises.

We’re expanding our dynamic backend team that’s supporting an international scale-up with the development of a robust, enterprise-grade document management system. We’re looking for a talented Lead Software Engineer experienced with Java, who’s ready to deliver high-quality solutions on Google Cloud Platform as part of a long-term, high-impact project.

You’ll join a team of experienced GCP and Java professionals who have been shaping the backend architecture of this product for over a decade — contributing to a scalable, cloud-native system used by customers worldwide.

• believe that cloud is the future, and an opportunity to work on a cloud-based product with millions of users sounds exciting to you.
• like to bridge real business problems and complex technical challenges.
• solely designing complex solutions doesn’t satisfy you because you also want to
• stay hands-on through implementation, spending as much care on directing and reviewing AI-generated code as you would writing it yourself.
• love experimentation with new technologies even if the toolkit is immature.
• love thinking out of the box to get around obstacles you didn’t face before.
• are proactive and constructive regarding professional challenges.
• don’t keep your knowledge to yourself but are happy to share your knowledge and experience with others.

• have a minimum of 7-8 years of Java development experience
• have public cloud experience, preferably with GCP.
• talking directly to clients to understand their business needs is not outside your comfort zone.
• want to use your technical leadership skills to guide both our engineers and our clients’ engineers on their cloud journey.
• creative approach to problem-solving comes hand in hand with systematic and quick thinking.
• are able to make credible technical decisions and justify them clearly to different audiences.
• thrive when trying out new technologies.
• are efficient in prototyping with conscious decisions on tradeoffs you have to make.
• have good communication skills both in Hungarian and English.
• work AI-first by default: you use approved AI coding tools (e.g. Claude Code, Copilot) as a normal part of daily delivery, not only when you get stuck, while remaining fully accountable for everything you ship.
• can direct AI-assisted and agentic development through disciplined engineering practices: clear specifications, task decomposition, architecture constraints, and incremental verification.
• keep your knowledge of the AI tooling stack and its guardrails up to date — models, CLIs, agent skills, MCP servers, permission models — and know how to spot the security, supply-chain, privacy and cost risks that come with them.
• build objective verification into your workflow — tests, linters, CI, independent review — instead of treating a confident AI-generated answer as proof of correctness on its own

• developing complex cloud-based products.
• getting to know Google Drive better than its own developers and doing things with it that it was not originally designed to do.
• contributing in refactoring the core of the product to enable cloud deployment outside of GCP.
• solving complex problems in collaboration with colleagues in Budapest and remote teams.
• scaling the application on public and private cloud platforms as the user base grows.
• optimizing the code and data structures to make the application fast and the users happy.
• tracking down tricky problems in a distributed production system and in libraries you have to use. 
• creating and challenging the design and suggesting better ways, if there is one.
• performing code reviews and teaching each other new tricks.

• experience with Google Cloud Platform (Google App Engine).
• experience with SQL, Python, and Terraform.
• an interest in or experience with Big Data.
• experience in customer relationships.
• hands-on experience orchestrating AI agents beyond basic prompting — subagents, hooks, custom MCP servers, or similar agentic workflows.
• language skills in French.

• using cutting-edge technologies and learning from A+ engineers and Google Cloud experts.
• career development opportunities with regular feedback and the chance to mentor talented juniors and mediors.
• maintaining a healthy work-life balance with financial initiatives to support physical and mental health and green commuting.
• a collaborative working environment with hybrid work opportunities.
• flexible working time to adapt to when you feel most productive.
• employee counseling opportunity with coaches and contracted psychologists.
• continuous training and learning opportunities with yearly allocated learning hours from working time and dedicated mentorship by experienced colleagues.
• social activities for everyone (team building events, company breakfasts and parties, sport events, professional meetups, darts and table tennis tournaments, biweekly company-wide knowledge sharing sessions).
• last but not least, a great community. :)