Principal ML Platform Engineer

Emploi pas sur LinkedIn

🔥 il y a 23 heures

🇺🇸 États-Unis – Télétravail

💵 $175 000 - $325 000 / an

⏰ Temps Plein

🔴 Expert

🏗️ Ingénieur Plateforme

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Appian Corporation

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🤝 B2B

☁️ SaaS

B2B • SaaS

Appian est la plateforme unifiée pour le changement. Nous accélérons les affaires de nos clients en découvrant, en concevant et en automatisant leurs processus les plus importants. La plateforme Appian Low-Code combine les capacités clés nécessaires pour travailler plus rapidement : Process Mining + Workflow + Automation, dans une plateforme unifiée à faible code. Appian est ouverte, de qualité entreprise et est approuvée par les leaders de l'industrie. Pour plus d'informations, visitez www.appian.com.

Description

• Architect, build, and optimize high-performance software systems • Spearhead platform modernization, strategic technology changes, and code refactoring • Use AI coding tools to generate, review, and critically evaluate AI-assisted code • Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers • Lead work from feature scoping through implementation • Manage product availability, latency, scalability, and efficiency • Perform advanced system tuning and engineer reliability into core software systems • Promote development best practices across the department • Conduct detailed design and implementation code reviews • Build automation frameworks to prevent recurring problems • Coach and mentor engineers at multiple levels • Identify and close team skill gaps and accelerate technical growth • Share domain knowledge across the department • Publish high-quality content to Engineering’s permanent documentation site

🎯 Exigences

• Minimum Bachelor of Science degree in Computer Science or a related technical/analytical discipline; equivalent experience is not accepted in lieu of a degree • 10+ years of relevant software development experience with a BS, or 8+ years paired with a Master of Science in Computer Science or related field • Expert coding, scripting, and debugging proficiency in Java, Python, or Go • Deep working knowledge of distributed systems and cloud infrastructure • Ability to contribute at a senior individual contributor level • Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project • Experience using AI coding assistants and evaluating, coaching others on, and selectively applying AI-generated code in production • Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment • Exceptional ability to communicate technical architectures verbally, visually, and in writing to diverse engineering audiences • Preferred: experience designing microservices, Docker, Kubernetes, and modern CI/CD pipelines • Preferred: experience with AWS, Azure, and/or GCP • Experience with Salesforce or ServiceNow valued

🏖️ Avantages

• Discretionary bonus based on individual and company performance • 401(k) plan with company match • Flexible time off • Paid parental leave • Medical, dental, and vision plans • Life insurance • Disability insurance • Wellness programs • Flexible spending accounts • Health savings account contributions • Employee referral bonus program • Learning and development resources • Potential equity awards for eligible positions • New hire orientation and onboarding • Dedicated learning time • Sponsored professional technical certifications • Department-specific training • Mentorship and First-Friend program • Leadership and skills-based training • Appian University training library • Tuition reimbursement • Employee Assistance Program with free mental health support • Employee Stock Purchase Program • Retirement/pension plan • Wellness dollars • Family-forming benefits • Employee-led affinity groups and community activities • High-impact autonomy and ownership over team direction

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