USAAI DevOps Engineer (AWS)
1 мес. назад
USASeniorHybrid
awsterraformdockerkubernetesci/cdcloudformation
Design, build, and operate secure, scalable AWS cloud infrastructure for AI and Generative AI capabilities in a financial institution context.
Обязанности
- is looking for an experienced AI DevOps Engineer (AWS) to help design, build, and operate the cloud infrastructure that powers our Artificial Intelligence and Generative AI capabilities. Working within our Technology & Engineering Practice, you will enable AI Engineers and Data Scientists to deploy, scale, and manage AI solutions securely, reliably, and efficiently.
- This is a senior individual contributor opportunity for someone who enjoys hands-on engineering, automation, cloud-native technologies, and solving complex platform challenges while working alongside multidisciplinary teams delivering innovative solutions for leading financial institutions.
Будет плюсом
- Experience with Microsoft Azure and/or Google Cloud Platform.
- Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker, Kubeflow, or similar technologies.
- Familiarity with vector databases, AI inference platforms, or modern model deployment architectures.
- Experience working within Financial Services or other highly regulated industries.
- AWS Certified DevOps Engineer – Professional, AWS Solutions Architect, or Azure/Google Cloud certifications.
Условия
- Deliver high-impact technology solutions for Tier 1 financial institutions.
- Work in a collaborative, flat, and entrepreneurial consulting culture.
- Access continuous learning, training, and industry certifications.
- Be part of a team shaping the future of digital financial services.
- Help shape the future of digital transformation across Financial Services and Energy.
- Medical, Dental, and Vision coverage.
- 401(k) with company match, Health Savings Account (HSA), Flexible Spending Account (FSA), and commuter benefits.
- Maternity and paternity leave, dependent care support, and tuition reimbursement.
- Wellness reimbursement and Working Advantage employee discount marketplace.
- A people-first culture focused on continuous learning, career growth, and professional development.
Другое
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- Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent, Full-Time
- Build the cloud platforms powering the next generation of AI innovation.
- Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms.
- Develop Infrastructure as Code using Terraform (preferred), AWS CloudFormation, or equivalent technologies while building automated CI/CD pipelines for AI applications and services.
- Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS preferred), supporting AI model deployment and lifecycle management.
- Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency.
- Collaborate with AI Engineers, Data Scientists, Data Engineers, and Solution Architects to continuously improve platform engineering, automation, and operational excellence.
- 5–7 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering, supported by a Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
- Strong hands-on experience with AWS cloud services, Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
- Experience supporting AI, Machine Learning, data platforms, or MLOps environments, with strong scripting skills in Python and/or Bash.
- Experience implementing monitoring, observability, IAM, secrets management, cloud security, governance, and operational best practices using tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk.
- Strong troubleshooting, communication, collaboration, and stakeholder engagement skills with the ability to work effectively across cross-functional engineering teams.
- We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At , we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
- At , we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
- AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
- Inclusion at
- We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At , we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
- We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official communication will be conducted via a recruiter.
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