
Recruiter
Anastasiya Ivanenko
Roles:
FrontendBackend
Must-have skills:
Java
One of skills:
C++GoPython
Considering candidates from:
Europe and United States
Europe and United States
Work arrangement: Remote
Industry: Software Development
Language: English
Level: Senior or lead
Required experience: 6+ years
Size: 2 - 10 employees
Company
Fleak is transforming the future of data infrastructure with adaptive intelligence designed to standardize, enrich, and optimize data in real time. Their platform reduces engineering effort by up to 90% and eliminates maintenance overhead, enabling businesses to accelerate innovation and unlock new opportunities within days.
By automating complex data transformations, Fleak empowers organizations to achieve greater agility, scalability, and efficiency—turning data into a competitive advantage without the traditional complexities.
By automating complex data transformations, Fleak empowers organizations to achieve greater agility, scalability, and efficiency—turning data into a competitive advantage without the traditional complexities.
Description
Tasks:
- Design, build, and scale high-performance distributed systems and microservices.
- Contribute across the stack: backend, frontend, and system architecture.
- Develop robust, efficient solutions with a focus on availability, scalability, and performance.
- Collaborate with the founding team to shape technical direction and culture.
Must-have:
- Degree in Computer Science (Bachelor’s or equivalent).
- 6+ years of hands-on software engineering experience.
- Strong proficiency in at least one mainstream programming language.
- Solid understanding of data structures and algorithms.
- Proven experience with both backend and frontend technologies.
- Expertise in large-scale distributed systems and microservices architecture.
- Strong communication skills in English (written and spoken).
Nice-to-have:
- Proficiency in Java.
- Experience with big data technologies (e.g., Apache Flink).
- Familiarity with AWS services and cloud infrastructure.
- Hands-on knowledge of Kubernetes.
- Strong background in compilers and operating system concepts.
- Experience deploying ML/AI models into production environments.
Benefits and conditions:
- Competitive startup salary – your expertise is recognized and rewarded.
- Generous equity package – you’re a partner, not just an employee.
- Global conference access – attend top conferences worldwide.
- Remote work flexibility – work from where you feel most inspired.
- Tech ownership – own projects end-to-end with autonomy in decision-making.
Interview process:
- Intro call with Toughbyte
- First Tech Interview
- Second Tech Interview
- Culture fit interview
Questions
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