Platform Engineer III
Remote (United States)
Full Time Senior-level / Expert USD 115K - 199K
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Anaconda
Anaconda simplifies, safeguards, and accelerates open-source AI with a trusted platform, enabling secure scaling, real-time insights, and community collaboration.About Anaconda
Be at the center of AI
With more than 47 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary:
We are seeking a talented Platform Engineer III to join our growing company and Platform Engineering team. In this role, you’ll work collaboratively on the infrastructure that shapes our latest AI products, define clear development paths for engineers, and streamline the systems that drive innovation across the company.
What You'll Do:
- Design, build, and improve our infrastructure to support both our SaaS and self-hosted enterprise products, focusing on scalability, performance, cost efficiency, and integration with external services
- Collaborate with engineering teams to design, implement, and troubleshoot tools, systems, and platform changes
- Empower developers to work autonomously by providing stable, reliable platforms along with technical guidance, education, and best practices
- Monitor and support production systems by participating in on-call rotations, incident response, and proactive system health reviews
- Contribute to both planned infrastructure initiatives and ad-hoc requests, maintaining flexibility while driving platform improvements
- Engage in team communication channels (Slack, meetings, reviews, demos) to share knowledge, provide feedback, and coordinate efforts.
What You Need:
- Production experience with Kubernetes, GitHub Actions, ArgoCD, and Helm
- Experience using IaC tools (e.g. Terraform, CDK, etc.)
- Experience working in cloud environments (AWS, Azure, etc.)
- Experience provisioning, tuning, securing, scaling, networking, and monitoring containerized applications
- Proficiency automating in Python or Go; familiarity with Linux
- GitOps mindset with a desire to reduce toil and automate everything
- A self starter mentality with experience in a fast-paced agile environment
- Embody our core values: Care, Clarity, and Candor
What Will Make You Stand Out:
- Anaconda, Python, or OSS community experience
- Familiarity with multi-cloud environments
- Knowledge around cloud marketplaces
- Experience working remotely and across transcontinental timezones
- Great peer recommendations and appreciations
- Experience working in a fast-paced startup environment
- Experience working in an open-source, AI, or data science-oriented company
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 US base salary range for this role is $115,500 - $199,750 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed in each job posting reflects the minimum and maximum target salaries for the position across all US locations.
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
There is no application deadline; we accept applications on an ongoing basis.
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.
Tags: Agile Anaconda AWS Azure Engineering GitHub Helm Kubernetes Linux Machine Learning Open Source Privacy Python Research Terraform
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Salary bonus Startup environment Wellness
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