AI Platform Senior Cloud Engineer - J.P.Morgan (Tonawanda)


: $140,345.00 - $187,860.00 /year *

Employment Type

: Full-Time


: Financial Services - Banking/Investment/Finance

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JPMorgan Chase (JPMC) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. JPMC has made a strategic decision to fundamentally transform its operations through the adoption of artificial intelligence and machine learning at scale. We are the AI Acceleration (AIX) team, a new group headquartered in Palo Alto, tasked with achieving this vision. We're hiring the best of the best from Silicon Valley to come join us. You will join the AI Engineering team and work alongside other leaders who have built and shipped AI and Machine Learning products at Google, Facebook, Microsoft, and Salesforce.Responsibilities Build firm-wide AI platform to unlock JPMorgan's AI potential across all business lines for huge business impact on public cloud. Performs deployment, administration, management, configuration, testing, and integration tasks related to the cloud platform . Hands on CloudFormation Templates/Terraform creation and debugging experience. Comprehensive ServiceCatalog and Lambda scripting skills. Deep understand of AWS cloud architectures and service integrations, advanced knowledge of common AWS services, with hands on experience on IAM role customization, etc. Advanced knowledge of cyber securities on cloud environment, knowing both HOW and WHY.Qualifications BS, MS or PhD degree in Computer Science or related quantitative field. Solid programming skills with Java, Python or other equivalent languages. Expertise with cloud technology and services: Amazon Web Service, Google Cloud, Azure, Docker, Kubernetes. From scratch, build and maintain complex distributed system platform with security in mind, based on leading Cloud solutions, and have seamless integration with on-premise environments. Familiarity in integrating security, encryption and authentication features into software applications during design and development. Handson experience on security group customization, roles dependencies andrestrictions, network policies, gateway, load balancers. CloudFormation Templates, Terraforms, Ansible. Cloud logging, monitoring and troubleshooting experience. Strong software development skills in system architecture, implementation, testing, debugging and devops. Self-motivation, great communication skills and team player.Preferred Qualifications Familiar with big data technologies such as Spark, Hadoop, Hive, and Kafka. General knowledge of machine learningplatforms: SageMaker, Kubeflow,, FBLearner, MichelangeloWhen you work at JPMorgan Chase & Co., you're not just working at a global financial institution. You're an integral part of one of the world's biggest tech companies. In 14 technology hubs worldwide, our team of 40,000 technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the worldAt JPMorgan Chase & Co. we value the unique skills of every employee, and we're building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you're looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.Ready to use your expertise and experience to drive change? Apply today
Associated topics: broker dealer, derivatives, dow jones, equity, fiduciary, fund, investor, nasdaq, sell, trader * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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