At a Glance
- Tasks: Join a focused team to build and evolve tools for compiling complex Python packages.
- Company: Anaconda, a leader in data science and machine learning software.
- Benefits: Flexible hours, remote work, comprehensive health benefits, and wellness support.
- Other info: Collaborative culture that values diversity and personal growth.
- Why this job: Shape the future of AI and data science while working with cutting-edge technologies.
- Qualifications: 10+ years in software development, strong C/C++ skills, and experience with AI tools.
The predicted salary is between 75600 - 92400 £ per year.
Summary
Anaconda has always built and shipped conda packages.
Now we're expanding into wheels, the format used across the wider Python ecosystem, so builders who would otherwise go to Py PI or conda-forge for a package can find it with us instead.
That shift has already taken our catalog from around 2,000 packages to more than 6,000, and wheels.
You'll join a small, focused team building the toolchain that compiles these packages from source.
As our Staff Software Engineer, you'll help carry that work from prototype to production: shaping technical strategy, building out the tooling, and working closely with our pure Python wheels and distribution teams as the effort scales.
What You'll Do
- Build and evolve the toolchain that compiles complex packages like Num Py, Sci Py and Py Torch from source, moving the effort from research into production.
- Create, review, and evolve conda recipes, build tooling, and release processes that keep compiled packages reliable at scale.
- Partner with our pure Python wheels and distribution teams so both efforts stay in step as automation and infrastructure needs grow.
- Mentor engineers on architecture, debugging, and packaging practices, sharing context as you go.
- Lead postmortems, capacity planning, and incident response for build and distribution infrastructure.
- Advise technical leadership on project scoping and delivery trade offs, bringing full context before recommending a path.
- Comfortable engaging with AI assisted development tools, such as Claude Code, as appropriate, including reviewing and validating AI generated code before it ships.
Your impact will be measured through
- Growth of Anaconda's compiled package catalog and reliability of the build and release pipeline.
- Reduction in manual, repetitive engineering work through automation.
- Cross team adoption of packaging standards and reusable components.
- Time to resolution for build and distribution incidents.
What You Need
- 10+ years of professional software development experience, including driving technical strategy, system design, and architecture evolution.
- Deep, hands on experience in C/C++, comfortable debugging and fixing issues at the compilation and linking level across large codebases.
- Experience building or maintaining production software across multiple operating systems, such as Linux, mac OS, and Windows.
- Experience using AI assisted development tools, such as Claude Code, as part of a professional workflow, including reviewing and validating AI generated code before it ships.
- Experience with Git or another version control system.
What Will Make You Stand Out
- Active contributor to a mainstream toolchain such as GCC or LLVM, a dynamic linker, or direct experience developing compilers or linkers.
- Working knowledge of libc++/libstdc++/STL and glibc, mac OS SDKs, or UCRT/vcruntime on Windows.
- Familiarity with distribution tooling such as the Red Hat devtoolset, or experience maintaining a Linux distribution, Homebrew, or a similar package system at scale.
- Proficiency with build tools such as CMake, Bazel, Make, or Automake, and working knowledge of the Python packaging ecosystem, including manylinux.
- Experience with GPU build tooling and runtime environments (e. g., CUDA, cu DNN).
- Active involvement in the conda-forge or wider Python packaging community, ideally gained in a fast paced, open source driven environment, with public projects you can walk us through.
- Programming experience in Python, particularly for build automation or infrastructure tooling.
• You embody our values
“Curious by Default”, “Build Together”, “Own It”, and “Lead with Guts and Heart”
, and our behaviors: Clarity, Care and Candor.
- You care deeply about fostering an environment where people of all backgrounds and experiences can flourish.
Why You'll Like Working Here
- You'll thrive in a high-performance environment where results are recognized and rewarded
- Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
- You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
- You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.
Applicants will be reviewed on an ongoing basis until the role is filled.
- In addition to base salary, we offer a comprehensive benefits package that includes:
- Flexible Vacation Policy
- Medical, Dental, and Vision Insurance
- Income Protection Insurance
- Paid Parental Leave
- Monthly Wellness Stipend
- Mental Health Resources
An Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy.
This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.
By clicking “Submit Application”, you acknowledge you have read our and that Anaconda can retain your application data for up to 1-year, unless otherwise stated.
For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.
Anaconda is an EEO/AA employer M/F/V/D.
Staff Software Engineer employer: Anaconda
Anaconda is an exceptional employer, offering a fully remote setup that prioritises employee wellbeing and growth. With a flexible vacation policy and comprehensive benefits including medical, dental, and vision insurance, employees are supported in achieving a healthy work-life balance while contributing to transformative projects in AI and data science. Join a high-performance culture where your efforts directly impact the future of technology across large enterprises in the EMEA region.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Anaconda or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Anaconda.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Anaconda.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Anaconda that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Staff Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Anaconda.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anaconda and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Anaconda
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Anaconda uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.