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Configure and manage resources in the local and AWS cloud environments and deploy QRM’s software on these resources. Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Experienced with cloud technology (AWS preferred), infrastructure-as-code (e.g. Terraform), managing and orchestrating containerized workloads (e.g. Kubernetes). This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM’s technical capabilities for model development, backtesting and monitoring.
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Overview Intelligent Waves has grown by more than 70% in the past two years and has an outstanding new opportunity for a Senior Site Reliability Engineer professional on our team in Reston, VA. Since 2006, Intelligent Waves has delivered mission-focused multi-domain operational expertise and innovation to the Government through high-impact technology solutions in cybersecurity, data science, enterprise network engineering, software development, and platform mission support.
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Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Summary This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing.
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Demonstrated expertise in systems engineering (SE), including modern software development processes and practices, including agile development methods (e.g., DevSecOps), hands-on experience with software architecture, design, test, and implementation with an emphasis on domain-driven, big data architectures.
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Plano 1 (31061), United States of America, Plano, Texas Director, Software Engineering - Consumer Data We are seeking a Director of Software Engineering who is passionate about growing and sustaining an innovative technology organization while fostering a culture of engineering and operational excellence.
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As part of this role, you'll work on designing cloud native solutions and will have the opportunity to work on emerging technologies such as: Java, Javascript, Python, REST, NoSQL databases, relational databases, and AWS/Cloud Infrastructure to name a few.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and data technologies (e.g., Redshift, Big Query, Snowflake). Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.
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In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
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S DegreeAt least 6 years of professional software engineering experience (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications:Master.
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Basic Qualifications: Bachelor’s Degree At least 4 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, or Python 2 + years of big data experience 2+ years of experience in Agile practices 1+ years of experience with AWS and Spark Streaming At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Scala, Java, Python.
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AWS cloud with Lambda / Cloudfront / API Gateway experience a plus. You will work with other engineers and analysts with backgrounds in big-data processing and visualization.
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Build big data platform using AWS Glue, Spark, Spark Streaming and other AWS services. Center 1 (19052), United States of America, McLean, Virginia Sr. Software Engineer (Backend) Do you love building and pioneering in the technology space.
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