1126: Conda DevOps Engineer

Our client is looking for a motivated Conda DevOps engineer. The role will involve authoring and updating conda recipes and building conda packages and developing tools and automation around those recipes. Conda is an open source package and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them. It works on Linux, macOS and Windows, and supports several languages, with a general focus on data science, and strong current support for Python and R.

Responsibilities:

Be a key member of the Development Engineering Services team making impactful changes that the large conda development ecosystem benefits from every day

Attend daily standup meetings, conduct demos, etc.

Create and update advanced conda recipes used to build conda packages

Build, test and release conda packages

Identify repetitive manual tasks and find solutions to automate them

Requirements:

5 plus years of development experience

Experience coding in Python or some shell scripting (e.g. bash) to automate rote system-level tasks

Working knowledge of linux

Able to fix bugs in software written in a range of languages and contribute fixes to the upstream projects

Familiarity with git or other version control software

Persistent drive to improve workflows and make things better

Ability to troubleshoot complex problems

Solid written and verbal communication skills

Asking questions, sharing information, and understanding the "why" for your work and our team's work

Able to work well on a team as well as independently

Familiar with mixed C/C++/Python projects in conda.

Experience packing up in-house tools as conda modules.

Some familiarity with conda library compatibility issues.

Decent intuition on build automation and CI pipelines in general.

Bonus points:

Experience in C

Familiarity with compilers like gcc, clang, Makefiles, CMake and Autotools.

Familiarity with continuous integration services like TeamCity

Comfortable with building software using CMake, nmake, or similar, able to dig into any build system or code-base to diagnose and fix problems.

Familiarity with the shared library mechanisms on Linux, and techniques for diagnosing and resolving missing or mismatched libraries.

Experience building conda recipes and packages