Our team focuses on cloud services and data processing for CV/ML training pipelines. We specialise in distributed data loading mechanisms for high-performance compute ML pipelines. Our team is highly independent and self-sufficient, working closely with internal Applied Science teams. We prioritise transparency, effective communication, and continuous improvement.
Job Summary
We are looking for an experienced Python Software Engineer with a strong background in creating and supporting high-load backend services. In this role your responsibilities will include but not be limited to scaling and supporting existing products and services, as well as validating POCs and building new services.
Responsibilities and Duties
— Develop new features and improve existing ones — Write unit tests, integration tests, and participate in code reviews — Evaluate industry standards and best practices to drive architectural and process enhancements — Explore, build and validate POCs — Collaborate with other engineering teams to ensure the highest quality of solutions
Qualifications and Skills
— 5+ years of commercial software development experience — Strong proficiency in asynchronous Python (asyncio, aiohttp) — Hands-on experience with AWS services (S3, SQS/SNS, EC2, ECS) — Experience with CI/CD pipelines, continuous delivery, and DevOps practices — Familiarity with containerization technologies (Docker, Kubernetes) — Familiarity with performance profiling and optimization techniques — Solid understanding of design patterns, data structures, and software architecture — Excellent communication and collaboration skills, with a focus on work in distributed teams — Good written and spoken English
Nice to have
— Understanding of concepts behind deep learning models and ML data pipelines — Experience with deep learning models and frameworks (PyTorch) — Experience with AI productivity tools (Cursor, CLine, Gemini CLI, etc.)
We offer multiple benefits that include
— The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member — Competitive compensation and perks. Annual performance review — Gig-contract — 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation — Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves — Medical insurance is provided from day one. Sick leaves and medical leaves are available — Remote working mode is available within Ukraine only — Free meals, fruits, and snacks when working in the office.
