Senior Software Engineer

Anaconda, Inc.

11d•$150,000 - $184,500•Remote

About The Position

The Artifact Creation & Release Engineering team builds, secures, and operates the platform that produces and releases Anaconda packages. The platform supports millions of users and thousands of enterprise customers, and the role focuses on strengthening access control, isolation, reliability, infrastructure, and security while sustaining delivery velocity. The Senior Software Engineer designs and builds features for the internal package build system, contributes to technical architecture and documentation, reviews code, resolves complex system issues, and mentors engineers. The role works with Security, Platform Infrastructure, IT, and Product teams to resolve build and access blockers. It also uses AI-powered development tools to reduce repetitive work and accelerate engineering workflows. Success is measured by delivering owned initiatives on agreed milestones with clear plans and documentation, spreading knowledge and shared ownership to reduce single-person dependencies, measurably improving platform security and access control, and helping cross-functional partners resolve blockers faster. This is a fully remote role with flexible hours. The application deadline is December 28, 2026, with applications reviewed on an ongoing basis until the role is filled.

Requirements

At least 5 years of professional software engineering experience.
Strong Python expertise and a deep understanding of core engineering fundamentals.
Experience building or maintaining infrastructure, platform tooling, or DevOps systems with an SRE or operational mindset.
Ability to write technical design documents and architecture proposals and conduct detailed code reviews that clearly communicate tradeoffs.
Ability to independently diagnose complex system issues, propose solutions, and drive them to completion.
Experience coaching or mentoring engineers through technical decisions and growth opportunities.
Proficiency with AI-powered development tools to accelerate workflows and reduce toil while maintaining strong engineering fundamentals.

Nice To Haves

Experience in fast-paced startup or scale-up environments, balancing quality with speed and pragmatism.
Experience with open-source ecosystems, package management systems, or build and release engineering workflows.
Hands-on experience with cloud platforms such as AWS or Azure, container orchestration such as Kubernetes, or GitOps tooling such as ArgoCD.
Experience at an AI-focused or data science company and understanding of the security and reliability demands of platforms serving automated workloads.
Curiosity about the rationale and timing behind requests, and willingness to push back when tradeoffs or timing do not align.
Alignment with the values 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and the behaviors Clarity, Care, and Candor.
Commitment to fostering an environment where people of all backgrounds and experiences can flourish.

Responsibilities

Design and build features for the internal package build system, balancing technical quality with practical constraints and delivery timelines.
Review pull requests carefully and coach teammates on architecture, security, and maintainability.
Write design documents and architecture proposals that explain tradeoffs to cross-functional partners.
Diagnose system failures, identify root causes, implement fixes, and prevent recurrence.
Partner with Security, Platform Infrastructure, IT, and Product teams to answer build and access questions and unblock work.
Use AI tooling to automate repetitive tasks, generate boilerplate, and assist debugging and code review workflows.
Mentor engineers and help develop their systems thinking and ownership skills.
Identify and advocate for technical investments that reduce production risk and avoid single points of failure.