About the company:

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We're privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word 'partner' over 'vendor', and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.

Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.

About the opportunity:

We are a group at gRED Data Science and Statistical Computation with a focus on developing methods and

Systems to support interactive analysis of genomic data. We have two overarching goals in the group:

(a) Science and discovery by building effective and efficient data analysis software systems;

(b) Develop new cutting edge visualizations for genomic data analysis that we disseminate as open source software and publications in the scientific literature.

We are looking for a Backend engineer to join our group to help with projects in the interactive analysis of large-scale cellular and tissue profiling initiatives using sequencing and imaging technologies.

Responsibilities:

• Develop and maintain the core back-end systems and APIs that power our platform, ensuring high availability and scalability.
• Design and implement the back-end infrastructure for critical services like email, notifications, and IAM, focusing on performance and security.
• Ensure the scalability, security, and reliability of platform services using best practices in architecture, design, and testing.
• Develop structured and backward-compatible APIs with appropriate versioning.

Must have skills required

• (a) 3+ years experience (including any graduate school) developing tools in Python for High Performing Computers and cloud solutions.
• (b) Expertise with performant file formats for data analysis and scientific computation (e.g., hdf5, zarr, tiledb).
• (c) Experience deploying performant software in cloud (AWS) environments
• (d) Familiarity with data analysis of single-cell RNA-seq, CITESeq or single-cell ATAC-seq is a plus.
• Expertise (5+ years of experience) in Python, designing and developing high-performance systems & package development
• Experience with scientific computing packages - scipy, numpy, pandas and its ecosystem
• Experience using cloud infrastructure (AWS in particular) to establish APIs and data services.
• Demonstrated adherence to best practices in software engineering, particularly usability, version control, testing, and appropriate use of abstraction.
• Biological domain knowledge, specifically in single cell genomics, and basic data analysis skills are desirable but not required.

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.