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ARCHER seeks a senior software engineer to architect and build reliable, scalable AI infrastructure and reusable platform services that unify model training and inference across hybrid-cloud and Neo-cloud environments.
The role requires hands-on leadership in observability, resilience, security, and cost optimization, plus mentoring of engineers and collaboration with product and engineering partners. A decade of experience and strong Python skills are essential.
Architect and build reliable, scalable AI infrastructure and reusable platform services that unify model training and inference across hybrid-cloud and Neo-cloud environments. Establish operational standards and tooling for observability, resilience, security, and cost optimization; support production incidents and mentor engineers.
Requires 10 or more years of applied software engineering experience, strong production-grade Python skills, and hands-on expertise in system design, testing, debugging, observability, and operational stability. Candidates should also demonstrate technical leadership, responsible use of AI-assisted development tools, and the ability to deliver platform work with product and engineering partners.
Python, AI/ML Platform Engineering, Cloud Platforms, Distributed Systems, System Design, Production Software Development, Observability, Site Reliability Engineering, Incident Response, Root-Cause Analysis, Automated Testing, Infrastructure Management, Generative AI, AI Agents, Security Controls, Technical Leadership
Health Care Coverage, On-Site Health And Wellness Centers, Retirement Savings Plan, Backup Childcare, Tuition Reimbursement, Mental Health Support, Financial Coaching