Вакансия Middle Python Engineer

Skills

• Python
• Microservices
• Django
• asyncio
• AWS
• Docker
• Kubernetes
• PostgreSQl
• Redis
• NATS
• Kafka

Описание вакансии

What project we have for you

• We drive product‑led growth through experiments that lift sign‑ups, activate new users, and deepen long‑term engagement
• Our goal is to release lightweight improvements in weekly cycles, turning fresh learnings into forward momentum sooner than traditional release trains
• Data, not assumptions, guides every decision; rigorous A/B and multivariate tests tell us what to ship and what to scrap
• We collaborate closely with data specialists to measure the impact of each change and frame the next hypothesis

What you will do

• Collaborate with product managers, product designers, data analysts, and fellow engineers to design, build, and ship user‑facing features and improvements.
• Design, implement, and iterate on onboarding journeys, conversion paths, and other growth levers that measurably improve acquisition and retention.
• Participate in code reviews, write automated tests, and help uphold continuous quality monitoring.
• Take ownership of your work end‑to‑end, proactively communicating progress and addressing blockers.

What you need for this

• At least 3 years of experience designing, shipping, and supporting production‑grade Python software that delivers measurable user or business impact.
• Solid understanding of software design principles and patterns (e.g., SOLID, GRASP, GoF); able to choose and implement appropriate approaches for component‑level problems.
• Hands‑on experience writing unit, integration, and end‑to‑end tests; you care about maintainable code and reliable releases.
• Analytical, experimental mindset; comfortable defining success metrics and iterating based on data.
• Empathy for customers and a passion for crafting great experiences.
• Strong communicator who enjoys collaborating across functions and giving/receiving constructive feedback.
• Passion for continued learning and a track record of quickly picking up new technologies and skills.
• Microservices
• Python, Django, AsyncIO
• AWS, Docker, Kubernetes
• PostgreSQL, Redis
• NATS, Kafka