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The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years of experience in application development including Python, SQL, Scala, or Java. The team also manages data ingestion patterns to the HR Data Warehouse (People Data Platform), tackling new application development, enhancements to existing applications, and pushing the bar on availability for all applications which serves at least 20k+ customers on a daily basis.
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Responsibilities Provide API management, Application Integration Platform, Security, and other application modernization expertise to support the technical relationship with Google Cloud customers.
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As an Associate Azure Cloud Engineer , you will use cutting-edge cloud and data technologies to streamline services to our clients. Experience with the Cloud, Windows/SQL Server, Application Support, PowerShell scripting, and virtualization.
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As a Senior Software Engineer working on the Valuation and Forecast Reporting (VFR) team within the Asset Management Financial Management Corporate Technology organization, you will partner with product owners, tech leads, designers, engineers and delivery professionals to help develop our new reporting platform as we transition from on prem reporting solutions to cloud-based architecture and services.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Machine Learning Engineer (Python)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Essential Requirements: -5-8 years of working experience in Application Engineering -Strong knowledge of Linux Operating systems -Experience with Cloud configuration automation (Ansible, Terraform, etc.
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5+ years of experience in application development including Python, SQL, Scala, or Java. Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams.
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Senior Data Engineer - Principal Associate (Spark, Scala) As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
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Working experience with the following technologies: Cloud native security services Static analysis CI/CD pipelines Cloud security posture management (CSPM) Cloud-native application protection platform (CNAPP) Vulnerability management Infrastructure-as-code (IaC) Privileged access/secrets management Security information and event management (SIEM.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer. Senior Data Engineer - Principal Associate. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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2+ years of experience with AWS, GCP, Azure, or another cloud service. Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Back End (Python, PySpark, AWS.
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