Python

remote

We are looking for a Senior Full Staсk Engineer to join our team and help build a scalable platform that empowers researchers to manage and analyze massive volumes of scientific data. The platform supports labs working on cutting-edge neuroscience challenges by delivering speed, integrity, and scalability for research data pipelines. It combines intuitive tools for data processing and collaboration with full transparency and flexibility — no black boxes here.

As a Senior Engineer, you’ll collaborate with talented engineers, data scientists, and researchers to design and implement robust, highly scalable solutions using modern technology stacks. You will also act as a technical mentor, guiding the team in creating and extending orchestration and workflow systems to ensure scientific computing tasks are run in a stable, reproducible way.

What you’ll do

Build and extend a SaaS product for data science.
Collaborate with researchers and data scientists on computational workflows, analysis, and visualization.
Work closely with engineering and product leadership.
Create and enhance orchestration and workflow systems for reproducible scientific computing.
Deliver containerized, production-grade systems.
Contribute to clear, up-to-date documentation for developers and end-users.
Participate in Agile processes.
Provide technical mentorship to the engineering team.

What we’re looking for

BS/MS in Computer Science or equivalent professional experience.
5–7 years of professional programming experience.
Expertise in Python and proficiency in TypeScript plus one system programming language.
Strong SQL RDBMS knowledge (PostgreSQL/MySQL).
Experience with scientific or numerical methods (SciPy, NumPy, etc.).
Proven experience delivering containerized services with Kubernetes.
Cloud platform experience (AWS preferred).
Familiarity with CI/CD, Git, and Agile processes.
Ability to work across the stack, with a focus on either frontend (React) or backend (SQL, k8s, IaC).

Nice to have

Experience in MLOps, DataOps, AIOps, or SciOps.
Hands-on with observability systems (OpenTelemetry, ELK, Datadog, Grafana, etc.).
Experience with process automation across cloud/HPC environments.
Knowledge of OAuth/IDCs and authentication/authorization systems.
Previous work with microservices and system scaling.
Contributions to open-source projects.
Background in full-stack web development (React, Node.js, Flask).
Experience with visualization libraries (Plotly Dash, D3).
Interest in advanced computational techniques (AI/ML, metaprogramming, deep learning).