Описание

Join a team building and operating a complex, data-driven backend in Python that processes data at scale. You'll own significant features and components end-to-end and take the lead on analytical, performance, and data-quality challenges.

Responsibilities

Design, build, and ship features and components across a data-driven Python backend, from database through API to frontend where needed
Write, tune, and optimize SQL and data access patterns against large datasets; diagnose and resolve performance bottlenecks
Investigate complex data and system behavior analytically- reproduce issues, isolate root cause, and drive them to resolution
Own the quality of the areas you work in: tests, correctness, data integrity, and maintainability
Identify technical debt and process inefficiencies, and take the initiative to improve them
Contribute strongly in design discussions, code reviews, and planning; help level up teammates and shape technical decisions

Requirements

BSc in Computer Science, Software Engineering, or a related field
1-2 years of professional software development experience
Strong analytical and problem-solving skills
Solid backend engineering experience with hands-on Python
Strong SQL and data skills- confident designing, querying, and optimizing against relational data at scale
Proven ability to own features end-to-end and deliver in a team
Strong team player with clear written and verbal communication

Nice to have

Python, SQL, relational databases (PostgreSQL/MySQL), REST APIs, React, TypeScript, Git, Docker, Kubernetes, data pipelines/ETL, Elasticsearch, Redis, MongoDB, Grafana, cloud platforms (AWS/GCP)

We offer

Every team member is treated as a long-term investment, with nurturing and training provided
Opportunity to make an impact on customer's business by providing tools for managing deskless workforce
A commitment to building an encouraging, caring, and supportive environment

Hiring process

Apply via the provided link