Anaconda Logo

Anaconda

Software Engineer II

Posted 27 Days Ago
Remote
Hiring Remotely in United States
94K-139K Annually
Mid level
Remote
Hiring Remotely in United States
94K-139K Annually
Mid level
Develop and modernize the open-source conda ecosystem, including conda, conda-build, and plugins. Responsibilities include designing and delivering features, improving performance and reliability, owning projects from requirements through release, collaborating with distributed internal teams and external maintainers, contributing through GitHub, and participating in Scrum ceremonies. The role also involves using AI-assisted tools while maintaining code quality and engaging the open-source community.
The summary above was generated by AI
About AnacondaBe at the center of AI


Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.


Summary:


Conda is the foundation of Anaconda's ecosystem, a world-class package manager used by over 50 million developers and data scientists worldwide. We're modernizing conda to be faster, more delightful, and competitive with emerging tools like Pixi and uv, while maintaining our commitment to the open-source community. As a Software Engineer on the Conda team, you'll collaborate with Anaconda engineers and the global conda-maintainers community to build features, fix bugs, and drive our Fast and Delightful modernization workstream forward.


What You'll Do:
  • Collaborate with internal engineers and external open-source conda-maintainers to improve conda, conda-build, and related plugins
  • Design and implement features that modernize conda's performance, user experience, and reliability as part of our Fast and Delightful initiative
  • Act as Feature Owner for select projects defining requirements, planning technical design, and delivering end-to-end solutions
  • Engage the open-source community through GitHub contributions, maintainer calls, and attendance at conferences
  • Use AI-assisted tools to accelerate implementation while maintaining deep understanding of solutions and ensuring the highest code quality
  • Work asynchronously across a fully remote team spanning 9 timezones, providing clear progress updates and documentation
  • Participate in Scrum ceremonies and contribute to continuous improvement of team processes
Your Impact Will Be Measured Through
  • Velocity and quality of software contributions to conda, conda-build, and plugins
  • Effectiveness of collaboration with both internal teammates and external open-source maintainers
  • Successful delivery of features you own from requirements through production release
  • Community engagement contributions that strengthen conda's ecosystem and adoption
What You Need
  • 3+ years of professional Python development experience
  • Demonstrated experience collaborating on open-source projects, including pull requests, code reviews, and community interaction
  • Experience working asynchronously with distributed teams across multiple timezones
  • Proven ability to use AI tools to assist with implementation while maintaining deep solution understanding and code quality
  • Experience participating in Scrum or similar agile development processes
  • Track record of owning features from requirements definition through technical design and delivery
What Will Make You Stand Out
  • Experience with Rust or willingness to learn for performance-critical components
  • Background in package management systems, dependency resolution, or CLI tool development
  • Experience benchmarking and optimizing performance in large-scale systems
  • Track record of maintaining or contributing to widely-used open-source projects
  • Experience working at a fast-paced startup where you shipped impactful features with limited resources
  • Background at an open-source-first, AI, or data science company where community collaboration was central to the mission
  • 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.

The application deadline for this role is 11/18/2026; applicants will be reviewed on an ongoing basis until the role is filled.


The base salary range for this role is $94,000 - $138,500, along with annual bonus potential, equity participation, and benefits.


Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.


In addition to base salary, we offer a comprehensive benefits package that includes:

  • Flexible Vacation Policy
  • Medical, Dental, and Vision Insurance
  • Short Term and Long Term Disability
  • Paid Parental Leave
  • Monthly Wellness Stipend
  • Employee Assistance Program and 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 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.





Anaconda San Francisco, California, USA Office

San Francisco, United States

Similar Jobs

Yesterday
Remote or Hybrid
IL, USA
121K-191K Annually
Senior level
121K-191K Annually
Senior level
Information Technology
Develop and lead full-lifecycle software projects, including architecture, object-oriented design, database modeling, coding, testing, implementation, and optimization. Lead technical teams, make architectural decisions, estimate resources and timelines, manage delivery commitments, and collaborate with stakeholders. Mentor junior engineers, establish development standards, conduct code reviews, and support scalable business solutions using modern software development, cloud, DevOps, and database technologies.
Top Skills: AgileAsp.Net MvcAzureAzure DevopsC#Ci/CdCSSElasticsearchHTMLJavaScriptKubernetesLinuxMachine LearningMongoDBObject-Oriented DesignPythonRestful Web ServicesSolrSparkSQL ServerWindows
5 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
155K-260K Annually
Senior level
155K-260K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead technical direction and build full-stack AI voice-agent experiences for drivers. Design agent behavior, memory, context sharing, orchestration, arbitration, APIs, and service boundaries. Ship products from concept through production, evaluate AI behavior in real-world use, document architectural tradeoffs, mentor engineers, and establish AI-assisted engineering practices using tools such as Codex, Claude Code, and Cursor.
Top Skills: Ai AgentsAPIsClaude CodeCodexCursorGoLlmsPythonRag PipelinesTypescriptVector Databases
6 Days Ago
Easy Apply
Remote
United States
Easy Apply
146K-225K Annually
Junior
146K-225K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services
Build and launch scalable fullstack web applications and APIs for Affirm’s Ads Platform. Collaborate with product, design, analytics, and engineering partners to break projects into deliverable phases, make technical trade-offs, write tested and extensible code, monitor service metrics, support on-call operations, review code, and participate in team development and interviews.
Top Skills: APIsKotlinPythonReact

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account