Platform Engineer

About Anaconda:

Build the infrastructure that powers AI at scale:

Anaconda is built to advance AI with open source at scale. We give builders and organizations the confidence to increase productivity, save time, and reduce risk. Fortune 500 companies and over 50 million users rely on our platform to source, secure, build, and deploy AI with 21 billion downloads and counting.

Here's what people love most about working here: We're part of a movement democratizing data science and creating open-source technologies for a better world. Our commercial offerings enable enterprise users to leverage innovative open-source in a secure, governed way. Learn more at https://www.anaconda.com.

Anaconda is built to advance AI with open source at scale. We give builders and organizations the confidence to increase productivity, save time, and reduce risk. Fortune 500 companies and over 50 million users rely on our platform to source, secure, build, and deploy AI with 21 billion downloads and counting.

Here's what people love most about working here: We're part of a movement democratizing data science and creating open-source technologies for a better world. Our commercial offerings enable enterprise users to leverage innovative open-source in a secure, governed way.

As a Platform Engineer on our Platform Core team, you'll own infrastructure components that keep our SaaS and self-hosted enterprise products reliable and scalable. You'll design solutions that improve developer experience, collaborate across teams to solve infrastructure challenges, and help engineers deliver software faster. Your work directly enables our products to perform reliably as we scale.

We build together sharing solutions transparently and collaborating across teams. We own it by delivering reliable systems and taking responsibility for their performance. We're curious by default, investigating root causes and learning from operational issues. And we lead with guts and heart, combining technical conviction with care for the developer experience we create.

• Design and build enduring infrastructure components supporting our SaaS and self-hosted enterprise products, improving our scalability and reliability
• Troubleshoot infrastructure challenges and collaborate with engineering teams and product  to ensure platform readiness for new features
• Empower developers by automating workflows, providing robust tooling, and creating best practice documentation that enables self-service and autonomous delivery
• Improve developer experience by automating workflows and creating tooling that enables faster deployments
• Support production systems by responding to incidents via on-call, working with others to analyze root causes, and implementing solutions
• Contribute to infrastructure optimization and platform improvements
• Share knowledge through code reviews and collaborative problem-solving

• Reliability and performance of infrastructure components you own, and reductions in incident response times
• Improvements in developer velocity through automation and tooling that reduce manual work
• Measurable gains in infrastructure stability and performance that support growing workloads
• Knowledge sharing that helps teammates grow their infrastructure expertise

• 2–5 years of experience with infrastructure, DevOps, or platform engineering
• Strong hands-on experience with Kubernetes and container orchestration
• Advanced experience working in cloud environments (AWS, Azure, Google Cloud) or on-premise infrastructure
• Solid understanding of core infrastructure concepts: networking, storage, CI/CD, observability, and Linux systems
• Proficiency with Infrastructure-as-Code tools (Terraform, CDK, or similar)
• Experience coding in Python, Go, Bash, or similar languages
• Demonstrated ability to troubleshoot and resolve production issues independently
• Strong written and verbal communication skills; ability to explain technical decisions clearly to teammates

• Experience with Anaconda, Python, or open source communities
• Familiarity with multi-cloud or hybrid infrastructure architectures
• Understanding of AI/ML infrastructure requirements and GPU workload patterns
• Experience working across multiple cloud platforms and optimizing costs
• Comfort working in distributed, remote-first teams across time zones
• 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

• 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 02/19/2026 applicants will be reviewed on an ongoing basis until the role is filled.

The base salary range for this role is $115,000 - $170,000, 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.