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We are seeking a Software Engineer - Full Stack with a deep understanding of both backend and frontend technologies, including Go, AWS Lambda, Terraform, React, Next.js, MUI, and Tailwind CSS. The ideal candidate will have experience with distributed systems, serverless architectures, and AWS infrastructure.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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We have an immediate need for a contract DevOps AWS Cloud Engineer to join a premier management consulting firm. The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform.
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Leverage AWS-based architecture and partner with DevSecOps to develop scripts to support continuous deployment process and maintain the environment via TFS/Terraform/Liquibase. Experience with Data Warehouse technologies such as AWS Redshift, Snowflake, Azure Data Warehouse, etc.
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Knowledge of writing Infrastructure-as-Code (IaC), using tools like AWS CDK (or CloudFormation) with Typescript(preferable) or Python. Hands on experience in building enterprise applications using Backend Technologies (Java, Spring frameworks, Node JS), UI Technologies (Angular 2+), AWS Services, Microservices etc.
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Support development of applications using software platforms, including but not limited to Alteryx, Power BI, Postman. Correspond directly with clients on daily tasks and matters required to support the implementation of various indirect tax technology platforms (i.e., Avalara, Thomson Reuters OneSource for Indirect Tax, Vertex.
$71,600 - $145,500 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Data Transmission Services team is seeking an AWS Cloud Engineer to join our expanding engineering team. This position will focus on enabling our MFT product migration from on-prem into the AWS cloud while helping drive adoption of native AWS cloud tools and services.
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5+ years of experience in implementing data services using AWS, Azure, or Google Cloud Services. Strong Experience with Messaging and event Streaming technologies like Kafka, AWS Kinesis, AWS SQS and SNS etc.
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Knowledge and familiarity of ML Development Platforms (AWS Sagemaker and associated services), ML Ops and Automated controls (Automated model deployment-CI/CD, Automated Model Governance, Model Feature Management), GenAI/LLM models (ChatGPT,Azure OpenAI, Google Bard, AWS Bedrock, CodeWhisperer, GitHub Copilot, etc), and cloud-based analytics services and platforms.
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What you need to have:Associate or Professional AWS certification or equivalent working experience as an AWS Cloud Architect or AWS Cloud EngineerStrong understanding of cloud computing concepts and principles, including Infrastructure as Code, DevOps, and serverless computingExperience with AWS services such as EC2, S3, RDS, Lambda, ECS, and EKSExperience with containerization technologies such as Docker and Kubernetes.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong understanding of DevOps culture, Microservices Architecture, Kubernetes Clusters, Containers, CICD practices, building solutions in public cloud (Google Cloud, Azure or AWS) Responsibilities may distribute across all major public cloud providers including Google, Azure, and AWS as well as our on-prem data centers and/or stores.
$92,300 - $175,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Programming experience in Python, Rust, R, or MatLab to match (preference in that order); must be comfortable and experienced working in a Linux environment in the AWS cloud and have an appreciation for the software development lifecycle and best practices.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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