Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
Machine Learning β’ Artifical Intelligence β’ Tableau β’ Cloud β’ Data Architecture
51 - 200 employees
π€ Artificial Intelligence
February 11
πΊπΈ United States β Remote
β° Full Time
π΄ Lead
π· Infrastructure Engineer
π¦ H1B Visa Sponsor
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
Machine Learning β’ Artifical Intelligence β’ Tableau β’ Cloud β’ Data Architecture
51 - 200 employees
π€ Artificial Intelligence
β’ Aimpoint Digital is a best-in-market and fully remote data engineering, analytics and artificial intelligence consultancy. β’ As a Principal Cloud Infrastructure Engineer you will: β’ Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives β’ Engage and lead multi-disciplinary teams to solve complex use-cases across a variety of industries β’ Manage high-priority accounts that can range from global leaders to emerging disruptors within our target verticals as they look to modernize their cloud Infrastructure environments, develop repeatable deployment frameworks, and operationalize their cloud environment for the application of artificial intelligence β’ Help establish and expand commercial offerings within our priority cloud data platform partnerships (namely AWS) β’ Assess existing cloud infrastructure and business processes and advise on best-in-class modern solutions β’ Design the cloud architecture, building data ingestion and storage protocols, and ensuring best-in-class integration with modern data platforms (e.g. Snowflake, Databricks) β’ Work with common AWS infrastructure stack like Kinesis, IoT Core, Glue, Kafka, SageMaker, Redshift and ensure the environment adheres to best-in-class security, governance and monitoring principles (e.g. AWS IAM, Artifact, CloudWatch, CloudTrail). β’ Be joining at the ground level for building a repeatable services and delivery frameworks for cloud infrastructure consulting services.
β’ Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience β’ Strong written and verbal communication skills β’ Experience managing stakeholders and collaborating with customers β’ Experience scoping cloud infrastructure cases, developing proposals, and presenting to key stakeholders β’ Experience building and maintaining cloud architecture at scale; primarily in AWS β’ Requirement: demonstrated administrative experience to guide best-in-class security architecture β’ Requirement: demonstrated experience designing resource monitoring processes (e.g. cost, performance) β’ Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) β’ Experience working with modern Data + AI platforms (Databricks, Snowflake, SageMaker) β’ Experience with cloud security and governance principles β’ Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) β’ Working understanding of relational databases, query languages and data modeling practices β’ 7+ years designing, implementing and maintaining cloud architectures (primarily AWS, others a plus) β’ 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data β’ 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages β’ Expertise in software engineering concepts and best practices and/or DevOps is desirable
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