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Anaconda, Inc.

Staff Software Engineer

United Kingdom
Posted about 22 hours ago
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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 PyPI 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 NumPy, SciPy and PyTorch 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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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, macOS, 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, macOS SDKs, or UCRT/vcruntime on Windows.
  • Familiarity with distribution tooling such as the RedHat 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, cuDNN).
  • 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.

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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.

Benefits

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

Equal Opportunity Employer

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.

Privacy Notice

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 Privacy Policy 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.

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Location

United Kingdom

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