Requirements

• Strong software engineering background with solid computer science fundamentals and the ability to adapt quickly to unfamiliar technologies, systems, and problem spaces.
• Demonstrated experience designing and shipping distributed data systems, with a practical understanding of their architecture, contracts, state management, invariants, failure modes, fault tolerance, and scaling characteristics.
• Strong first-principles problem-solving approach, with the ability to make assumptions explicit, identify meaningful constraints, and derive solutions rather than simply applying familiar patterns.
• Experience working on large-scale systems where correctness, performance, reliability, and operational behavior are critical considerations.
• Ability to work effectively with ambiguity by engaging product, customers, and engineering stakeholders, defining a clear scope, and taking ownership of the resulting technical direction.
• Strong ability to translate complex product requirements into technical requirements, architectural designs, implementation plans, and actionable engineering tasks.
• Experience working across multiple programming languages and technologies, with the flexibility to select the most appropriate tool for a given problem.
• Strong written and verbal communication skills, particularly in distributed and asynchronous environments where clear documentation and thoughtful written communication are essential.
• Demonstrated ability to influence engineering standards, conduct effective design reviews, improve development practices, and mentor other engineers.
• Strong practical experience with AI-assisted development tools, including an understanding of their capabilities, limitations, and failure modes, combined with a high bar for avoiding low-quality or unreliable AI-generated output.
• Ability to operate independently, prioritize effectively, and maintain ownership in a remote-first environment with a high degree of autonomy.
• Experience with data lakes and modern storage formats such as Parquet, Apache Iceberg, or Delta Lake is a plus.
• Experience working at a company or product organization where data itself is a core part of the product is a plus.

Benefits

• Competitive salary and equity package positioned within the top 25% of comparable companies in the space.
• Employee equity program with employee-friendly terms, including an approximately 90% discounted strike price and a 10-year exercise window.
• 5 weeks of paid time off plus local public holidays, with flexibility to swap holidays where appropriate.
• Fully remote-first working model within a distributed international team.
• Flexible working hours, giving you significant autonomy to structure your working day.
• Strong async-first culture designed to reduce unnecessary meetings and protect focused deep-work time.
• Private medical insurance, including dental and vision coverage.
• Fully paid parental leave of 16 weeks for primary caregivers and 6 weeks for secondary caregivers, plus a 2-week part-time phased return at full pay.
• Quarterly company or team offsites in different international locations to connect, collaborate, and spend time together.
• Annual travel allowance to enable employees to connect and co-work with colleagues for several days.
• Home-office setup allowance, with local coworking space costs covered if preferred.
• Opportunity to work alongside highly experienced engineers and colleagues in a collaborative, distributed environment.
• Opportunity to work on challenging data infrastructure and blockchain analytics problems with significant technical ownership and impact.
• Company merchandise and other team perks.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.