AWS DevOps, MLOps Engineer

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🕒 il y a 1 mois

🗽 New York – Distant

🗽 New York – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

⛑ Ingénieur DevOps & SRE

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Capstone Integrated Solutions

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51 - 200 employés

Capstone Integrated Solutions est un fournisseur de services complet. Notre équipe est composée de professionnels exceptionnels, hautement expérimentés dans la conception, la construction et le support de logiciels de vente au détail. Nous nous considérons comme un fournisseur de services de construction qui suit un modèle commercial reproductible pouvant être appliqué à une variété de plateformes et de secteurs. Ayant une culture axée sur les résultats et la livraison au cœur de notre entreprise, Capstone offre à ses clients une gamme complète de services pour le développement de logiciels, l'analyse de systèmes, l'intégration, la mise en œuvre et le support, ainsi que la possibilité de mobiliser une seule équipe pour réaliser l'ensemble des services requis.

Description

• Collaborate with cross-functional engineering, infrastructure, and AI teams to design, implement, and maintain scalable AWS cloud environments and CI/CD pipelines. • Build, automate, and manage AWS-based infrastructure supporting development, production, and AI/ML workloads. • Design and maintain Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, and CloudFormation. • Develop and optimize CI/CD pipelines using Azure DevOps and GitHub Actions/GitHub CI/CD workflows. • Support deployment, monitoring, automation, and operational excellence across cloud-native applications and services. • Work closely with development and AI teams to integrate modern AI tooling and automation capabilities into engineering workflows. • Implement best practices around reliability, scalability, observability, security, and performance optimization in AWS environments. • Participate in architecture discussions, infrastructure planning, troubleshooting, and continuous improvement initiatives. • Support MLOps-related workflows and infrastructure for AI-enabled applications and services.

🎯 Exigences

• Bachelor’s degree in Computer Science or a related field. • Strong hands-on experience as an AWS DevOps Engineer or MLOps Engineer in enterprise environments. • Experience working with or supporting AWS Professional Services (AWS ProServe) engagements is strongly preferred. • Deep expertise with AWS services including Lambda, API Gateway, Step Functions, ECS/EKS, IAM, CloudWatch, Amplify, and other core AWS technologies. • Expert-level experience with Terraform, AWS CDK, and CloudFormation. • Strong experience building and maintaining CI/CD pipelines using: • Azure DevOps • GitHub Actions / GitHub CI/CD • Experience incorporating AI-enabled development tooling and automation into engineering workflows. • Familiarity with modern AI engineering tools such as Kiro CLI or similar AI-assisted development tooling. • Strong scripting/programming skills in Python or similar languages. • Experience with infrastructure monitoring, logging, and performance optimization. • Experience with databases such as RDS, PostgreSQL, Oracle, and DynamoDB. • Strong understanding of DevOps, cloud security, automation, and infrastructure best practices. • Excellent troubleshooting, analytical, and problem-solving skills. • Strong communication and collaboration abilities in cross-functional enterprise environments. • Ability to work independently in fast-paced, highly technical client-facing environments.

🏖️ Avantages

• Remote work