Senior Software Engineer

About Anaconda

Be 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 .

Summary:

Our Artifact Creation & Release Engineering team builds, secures, and operates the platform that produces and releases Anaconda 's packages—the foundation of trust and compliance for millions of users and thousands of enterprise customers. As platforms increasingly serve automation and AI agents, the bar for access control, isolation, and reliability has never been higher. We're looking for a Senior Software Engineer who brings strong Python expertise, systems thinking, and an SRE mindset to help us close critical gaps in platform infrastructure and security while maintaining the velocity our users depend on.

What You'll Do:

Design and build features for our internal package build system, balancing technical excellence with practical constraints and delivery timelines

Review pull requests with rigor and care, coaching teammates on architecture, security, and maintainability

Write clear design docs and architecture proposals that help cross-functional partners understand tradeoffs and make informed decisions

Take ownership when things break: diagnose root causes, implement fixes, and ensure the same issue doesn't happen twice

Partner with Security, Platform Infrastructure, IT, and Product teams to answer build and access questions and unblock their work

Use AI tooling to eliminate toil and accelerate delivery—automating repetitive tasks, generating boilerplate, and augmenting your debugging and code review workflows

Mentor engineers across the team, sharing context on platform decisions and helping them grow their systems thinking and ownership skills

Identify and advocate for technical investments that reduce production risk and avoid single points of failure

Your Impact Will Be Measured Through:

Initiatives you own ship on the agreed milestones, with clear design documentation and delivery plans

Fewer production risks depend on a single person, your work distributes knowledge and builds shared ownership

Platform security and access control improvements measurably reduce risk surface area as AI agents and automation scale usage

Cross-functional partners report faster resolution of build and access blockers, enabling their teams to ship with confidence

What You Need:

5+ years of professional software engineering experience with strong Python expertise and deep understanding of core engineering fundamentals

Demonstrated experience building or maintaining infrastructure, platform tooling, or DevOps systems with an SRE or operational mindset

Proven ability to write technical design documents, architecture proposals, and detailed code reviews that communicate tradeoffs clearly

Experience working independently to diagnose complex system issues, propose solutions, and drive them to completion

Track record of coaching or mentoring other engineers, regardless of their level, through technical decisions and growth opportunities

Proficiency using AI-powered development tools to accelerate workflows, reduce toil, and maintain focus on high-value engineering work while preserving strong fundamentals

What Will Make You Stand Out:

You've worked in fast-paced startup or scale-up environments where you've had to balance high quality with speed and pragmatism

Experience in open-source ecosystems, package management systems, or build/release engineering workflows

Hands-on experience with cloud platforms (AWS, Azure), container orchestration (Kubernetes), or GitOps tooling (ArgoCD)

You're genuinely curious about the 'why' behind every request—who benefits, what unlocks, is now the right time—and you're comfortable pushing back when the timing or tradeoffs don't align

You've worked at an AI-focused or data science company and understand the unique security and reliability demands of platforms serving automated workloads

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 12/28/2026;applicants will be reviewed on an ongoing basis until the role is filled.

The base salary range for this role is $150,000 - $184,500 , 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.

Originally posted on Himalayas