3,901 to 3,925 of 7,964 AWS Jobs

learning models in production Familiarity with Git CI/CD and MLflow for managing and tracking code deployment or model versions Experience with cloud-based data platforms such as AWS or Google Cloud Platform Nice to have: Experience with Kafka Proven track record of leading large scale data infrastructure in production Experience with container technologies (such as Docker) and orchestration More ❯

zero Expected Skills: 5-10 years of relevant industry experience Electrical installation experience or awareness Knowledge and experience of Linux operating systems Some level of experience in networking, infrastructure (AWS) and security (SSH, OpenVPN) Version control (git) Instrumentation knowledge Embedded electronics and programming using the C language A focus in refining specifications and tickets to deliver maximum output for minimum More ❯

and skills : Around 2 to 5 years of experience in a similar role. Strong Python skills. Experience with the Python data ecosystem, specifically pandas. Knowledge of cloud technologies, ideally AWS and Azure. Familiarity with CI solutions. Knowledge of Docker and Kubernetes is a plus Experience in finance is beneficial, particularly in commodities. What we offer Competitive compensation and participation in More ❯

and backup/restoration of Linux systems. Understanding of system monitoring, health/status, and best practice security methodologies. Familiarity with Windows Server environments Desired Skills: Docker, Kubernetes, and AWS familiarity. Understanding of Active Directory or FreeIPA. Familiarity with nginx, HAProxy, or other load balancer technologies. Python experience. Familiarity with Git/GitLab. Storage Technology experience including hyper converged, SAN More ❯

of ethics, regulatory compliance, customer service and business integrity. Does this sound like you? Proven experience in a Site Reliability Engineering, DevOps, or Production Engineering role. Expertise in the AWS ecosystem, with a deep understanding of its services and best practices for building resilient architectures. Strong experience with Infrastructure as Code (IaC), particularly with Terraform and Ansible. Experience with Packer More ❯

The Role We're looking for a Software Engineer to help build and scale the services that power our innovative products. Using cutting-edge technologies like Go, GraphQL, Terraform, AWS and Kubernetes, with a frontend built in React, you'll work on a platform designed for performance and scalability. This is an opportunity to make a real impact - your contributions More ❯

User Experience Enhancement - Identify areas for improvement in the user experience and implement strategies to increase user engagement and conversion rates. Our Stack - React.JS, Redux, Node.js, Ruby on Rails, AWS, Elastic Search, Redis, MySQL Your Experience & Skills 6+ years of proven experience. Experience building web applications from scratch in a production environment Passion for both client-side and server-side More ❯

utilising proprietary methods Comfortable working in a team Excellent communication skills with a self-starting attitude Keen interest in financial markets Desire to automate cloud systems at scale on AWS, Azure or another cloud provider Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of both tech More ❯

into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics/Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global we understand the More ❯

members, and collaborate with functional and infrastructure stakeholders. Experience with PeopleSoft Fluid UI and accessibility compliance. Familiarity with PeopleSoft Update Manager (PUM), Change Assistant, and Oracle Cloud Infrastructure or AWS-hosted PeopleSoft environments. Ability to work independently and as a technical lead within a cross-functional team. Excellent communication, documentation, and presentation skills. Want to hear more? Read on to More ❯

expect you to master everything, but at least half of the following topics should be familiar: Knowledge of Windows, Linux, and macOS operating systems Cloud platforms IR and forensics (AWS, Azure, GCP, M365) Log management and analysis tools Disk- and memory forensics tools Security incident response EDR tools (example MS Security Stack) Security information and event management Modern cyber defense More ❯

able to work across teams and translate complex data into simple, actionable insights Hands-on experience with Power BI and exposure to cloud data platforms like Azure Data Lake, AWS or Google Cloud Knowledge of credit risk, utilities, or financial services is a bonus A degree (or equivalent experience) in a data-focused subject, with skills in Python or R More ❯

experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non More ❯

concepts (e.g., TCP/IP, DNS, firewalls) in a Linux environment. Experience with security hardening, user authentication, and compliance configurations for secure systems operation. Exposure to cloud environments (e.g., AWS, Azure, GCP) or virtualised infrastructure (e.g., VMware, KVM) in a Linux context is advantageous. Familiarity with infrastructure as code tools (e.g., Ansible, Terraform) or configuration management platforms is a plus. More ❯

modern cloud-based solutions. Demonstrated experience establishing optimized data architecture for multiple integrations enhancing usability, storage and recall. Demonstrated experience with large scale data migration or modernization on either AWS or Azure. Demonstrated experience implementing data storage solutions for common enterprise applications such as Salesforce, ServiceNow, GIS, etc. Strong understanding of data integration patterns, ETL/ELT processes, and data More ❯

R, Julia, C++, or Java, with a focus on machine learning and data science applications 2+ years of experience with data collection, processing, visualization, analytics, and science approaches, including AWS, Azure, Databricks, or Apache 2+ years of experience with tools to manage data and databases, including Micro sof t Excel, Access, or SharePoint, MongoDB, Amazon Redshift, or Azure SQL Databases More ❯

various partners to improve the culture around data Great interpersonal skills and collaborative mindset Hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such, proficiency in SQL based data manipulation and python is needed More ❯

ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. What you'll be doing: Research and develop solutions to complex business problems, working More ❯

on-call Self-managing and self-directing Team player Experience in ITIL methodology It will be a plus if the candidate also has: Experience with Cloud solutions design (Azure, AWS, Oracle OCI). Experience in automation e.g. Ansible, Terraform Programming and scripting, e.g. bash, python Experience with NAC solutions, e.g. Aruba ClearPass Why work at Stats Perform? We love sports More ❯

Proven experience building and maintaining APIs. Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer More ❯

Proven experience building and maintaining APIs. Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer More ❯

expertise needed to be successful in your role. Nice-to-Haves Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above More ❯

to a common controls framework. Knowledge of infrastructure as code, CI/CD, orchestration tools, and private key management. Familiarity with security capabilities for major cloud service providers (e.g. AWS, Azure, GCP). Ability to white-board architectures and technical process flows. Communicate limitations and implementation specifics of technical controls with ease. Nice to haves Certifications: CRISC, CISSP, CCNA, CCSP More ❯

API-based integrations. Lead the strategy and architecture for activating structured, unstructured data and proprietary data that will power AI products. Champion best practices for orchestrating multi-cloud environments (AWS, Azure, GCP) to enhance platform performance, scalability, and cost efficiency. Implement robust security, observability, monitoring frameworks, and data governance to ensure data reliability, minimize downtime, and maintain compliance. Manage budget More ❯

the delivery of work Ability to convert customer requirements or business challenges into well-defined machine learning solutions We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget More ❯