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). 

Why you’ll enjoy working with us 

• Work on meaningful, data-intensive projects with real scientific impact. 
• Collaborate with a highly skilled, interdisciplinary team. 
• Flexible schedule and remote-friendly culture. 
• Competitive compensation and regular performance reviews. 
• A culture built on autonomy, transparency, and continuous learning. 

Let's talk!