Senior 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, 95% of whom are household names like Panasonic and AmTrust, alongside over 50 million users, rely on the value we deliver through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and counting, Anaconda has established itself as the gold standard for Python, Data Science, and AI.

We're not just a company—we're part of a movement. Our dedicated employees and user community are democratizing data science and creating open-source technologies for a better world. Our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way. Learn more at https://www.anaconda.com.

As a Senior Platform Engineer on our Platform Core team, you'll own critical infrastructure components that keep our SaaS and self-hosted enterprise products fast, reliable, and scalable. You'll design solutions that reduce operational toil, collaborate across engineering teams to solve complex challenges, and help your peers deliver better software faster. Your work directly enables product teams to build with confidence and customers to innovate without friction.

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

What you'll do

• Design, build, and improve infrastructure components supporting both our SaaS and self-hosted enterprise products, focusing on stability, efficiency, and a strong experience for our internal and external users
• Own services and subsystems end-to-end, taking responsibility for their reliability, performance, and operational excellence through design, implementation, and monitoring
• Collaborate with other Engineering and Product teams to troubleshoot cross-layer issues and ensure platform readiness for new features and AI workloads
• Empower developers by automating workflows, providing robust tooling, and creating best practice documentation that enables self-service and autonomous delivery
• Monitor and support production systems by participating in on-call rotations, responding to incidents, and conducting proactive system health reviews
• Contribute to both planned infrastructure initiatives and ad-hoc requests, maintaining flexibility while driving continuous platform improvements
• Engage in team communication channels (Slack, meetings, code reviews, demos) to share knowledge, provide feedback, and coordinate efforts

Your impact will be measured through

• Reliability and uptime of platform components you own, and reductions in incident severity or response time
• Improvements in developer velocity through automation, tooling, and documentation that reduce manual toil
• Measurable gains in infrastructure stability, performance, or scalability that support growing workloads and new use cases
• Knowledge sharing and mentorship that elevates the capability of your peers and the team

What you need

• Strong experience working with Kubernetes, Helm, and related open source tooling
• Advanced experience working in cloud environments (AWS, Azure, etc.) or on-premise servers
• High familiarity with core infrastructure concepts: storage, CI/CD, networking, observability, security, and Linux systems
• Proficiency coding using IaC (e.g. Terraform, CDK, etc.) and imperative languages (Python, Go)
• Experience with production systems: on-call participation, incident response, and root-cause analysis
• Demonstrated ability to own a service or infrastructure component end-to-end and drive meaningful improvements in reliability, performance, or developer experience
• A self-starter mentality comfortable in dynamic environments with a strong instinct to reduce toil and automate workflows
• Strong written and verbal communication skills; ability to document technical decisions and explain complex concepts through ADRs, SDDs, and architecture diagrams.
• Ability to foster an environment where all people can be curious by default, build collaboratively, practice absolute accountability, and innovate relentlessly

What will make you stand out

• Anaconda, Python, or OSS community experience
• Familiarity managing multi-cloud or hybrid architectures
• Understanding of AI / ML / GPU development patterns and infrastructure requirements
• Knowledge around cloud marketplaces and cost optimization strategies
• Familiarity working in and testing code in Windows and Mac environments
• Experience working remotely and across transcontinental timezones
• Great peer recommendations and appreciation from colleagues

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 02/12/2026; applicants will be reviewed on an ongoing basis until the role is filled.

The base salary range for this role is $131,000 - $194,000, 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.