Senior Python Full Stack Engineer

Anastasiia Volosianko

Recruiter

a.volosianko@geniusee.com

+38 096 045 30 12

@n_vlsnk

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About the project

We are seeking a Senior Full-Stack Software Engineer to design and build high-
performance, scalable distributed systems and APIs that power mission-critical products
serving millions of users. This role requires deep expertise across backend, frontend,
data systems, and cloud infrastructure, with a strong focus on performance, reliability,
and low-latency engineering.
You will work across the stack—from designing fault-tolerant microservices and high-
throughput APIs, to implementing modern front-end applications using Next.js, to
optimizing databases, search systems, and caching layers. You will also collaborate
closely with cross-functional teams to architect robust cloud deployments, ensure
operational excellence, and maintain strong engineering standards.

Requirements

6+ years of experience in full-stack or backend engineering, including architecting complex systems.
Strong programming experience with Python stack and libraries and TypeScript/Node.js.
Strong hands-on experience with modern Python libraries and frameworks used
for backend development, API design, performance optimization, and (if applicable) machine learning or data processing.
Required Python familiarity includes: FastAPI, Pydantic, Asyncio, PyMongo/Motor, Redis-Py, HTTPX/Requests, Uvicorn/Gunicorn, and PyTest.
Hands-on experience with MongoDB, Redis, Azure Servicebus and OpenSearch in production.
Strong understanding of REST API design, async patterns, and distributed system fundamentals.
Expertise with cloud platforms, preferably Azure, and orchestration using Kubernetes.
Experience optimizing performance at scale (latency, throughput, caching, indexing).
Familiarity with GitHub, Git workflows, CI/CD, and DevOps best practices.
Strong communication skills and ability to influence architectural direction.

What you will do

Design and build high-performance REST APIs and microservices using FastAPI, Python, Node.js, and TypeScript.
Architect scalable, low-latency systems capable of supporting millions of requests per day.
Implement distributed caching, queueing, and event-driven architectures using Redis, pub/sub, and async patterns.
Develop backend services with strong security, observability, and fault tolerance.
Build and optimize schemas, indexes, and queries across data stores such as MongoDB and Redis.
Use MongoDB Compass and OpenSearch Dashboards extensively for query analysis, profiling and optimization.
Reduce system latency, increase throughput, and improve overall reliability through distributed tracing, load testing, and architectural improvements.
Identify and resolve performance bottlenecks across the stack.
Maintain strong infrastructure practices including monitoring, logging, tracing, and alerting.
Work closely with product, ML, data, and infrastructure teams to design scalable systems aligned with business requirements.
Drive engineering best practices including code reviews, architectural documentation, security reviews, testing strategies, and performance standards.
Able to rapidly diagnose issues and identify root cause across the entire software stack, and across distributed services including frontend (Next.js/React), backend services (FastAPI/Node.js), databases (MongoDB, Redis), and search systems (OpenSearch).

What you will get

Competitive compensation including fix part and variable bonus based on performance.
Exciting, challenging and stable startup projects with a modern stack;
Corporate English course;
Ability to practice English and communication skills through permanent interaction with clients from all over the world;
Professional study compensation, online courses and certifications;
Career development opportunity, semi-annual and annual salary review process;
Necessary equipment to perform work tasks;
VIP medical insurance or sports coverage;
Informal and friendly atmosphere;
The ability to focus on your work: a lack of bureaucracy and micromanagement;
Flexible working hours (start your day between 8:00 and 11:30);
Team buildings, corporate events;
Paid vacation (18 working days) and sick leaves;
Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink)
Compensation for coworking (except for employees from Kyiv and Lviv)
Corporate lunch + soft skills clubs
Unlimited work from home from anywhere in the world (remote);
Geniusee has its own charity fund.

Please be informed that the data administrator is Geniusee LLC with headquarter at BC Y4, Yaroslavsky Lane 4, 04071, Kyiv, Ukraine. Processing of personal data is carried out in accordance with the Law of Ukraine "On Protection of Personal Data" dated 01.06.2010 No. 2297-VI. You have the right to request access to your personal data, their release, removal or restriction of admission, the right to make a warning against admission, as well as the right to transfer the data and to make arrangements. The submission of data is voluntary and this personal data is processed in order to manage candidate applications and recruitment (selection process, interview follow-up, your job alerts management). Refusal to provide these obligations may result in a lack of opportunity to conduct the recruitment process.

Candidate personal data is addressed to Geniusee and is available to our recruitment teams, our employees involved in the recruitment process, our HR teams, and our IT teams which administrate our tools. As a part of our recruitment process evaluation, some of your data (name, surname, email address) may be used in charge of organizing events during which we may invite certain candidates.