4,251 to 4,275 of 9,082 AWS Jobs

The Company You'll JoinCarta is the connected platform and AI-native ecosystem for private capital. Built to replace fragmented tools with a single system of record, Carta brings together the software, services, and legal ...

following would be an advantage: LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? AI is becoming one of the core capabilities of Friend MTS. ...

other SDR development toolsCommercial and Military communications stacks and modem development (e.g IEEE 802.x, COFDM, Satcoms, or Link 16)Working in AWS and CICD pipelined environments, especially with GitLab and LinuxReal-time test and measurement, using tools such as vector signal analyzers ...

Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/or product analytics data Good attention to detail to highlight and address data quality ...

10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

running in production, ideally in or near a regulated or financial domain. Comfort with distributed/event‐driven systems, APIs, cloud (Azure ideal; AWS/GCP transferable), containers, and CI/CD. Excellent communication; credible and trustworthy in front of partner stakeholders. Nice to have — FCA‐regulated fintech, payments, BaaS ...

stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with ...

10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred More about our perks In return for all your hard work, you will receive: 15% discount in store from ...

customers. And what are we looking for? Software Development: Ideally have a background in backend software development using technologies like Java, Spring Boot, AWS, GraphQL, Kafka, Docker and Kubernetes. Coaching and Mentoring: Engage, coach, mentor, facilitate, and empower team members to reach their full potential. Effective Communication: Provide context ...

time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic ...

configurations, diagnostic tooling, networking nuts and bolts Deep familiarity with containers (Docker) and orchestration (Kubernetes) at scale Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers Experience designing, building, and operating high-scale observability or infrastructure systems Working knowledge ...

etc. Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker ...

with agentic AI or autonomous security workflows. * Experience with Microsoft Sentinel, Splunk or equivalent SIEM platforms. * Experience with cloud security technologies (Azure, GCP or AWS). * Experience with detection engineering and security use case development. * Experience building automation metrics and measuring operational efficiency. * Familiarity with modern AI platforms including LLMs ...

observability experience. Strong PowerShell or Python scripting skills, applied to security-tooling automation and integration. Working knowledge of cloud platforms such as Azure, AWS or GCP. Experience supporting security operations, incident management and SOC environments. Strong documentation, reporting and stakeholder-communication skills. The ability to work across multiple client environments ...

relevant to the domains above) Project Management (e.g., SAP Activate, PMI, or SAP internal certification) SAP Professional Architect certification Cloud Infrastructure for SAP (Azure & AWS for SAP IaaS/PaaS) SAP Business Technology Platform (BTP) WHAT YOU'LL LOVE ABOUT WORKING HERE: Our Digital Architects are the architects of positive ...

drive customer outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems ...

10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel ...

team’s focus on LLM‐based AI. Experience in some or all of the following areas would be an advantage: Cloud infrastructure (especially AWS), infrastructure as code, and service management Experience building AI applications/features and iterating based on user feedback. Agentic coding best practises: Implementing supporting knowledge bases ...

bring them back with offers that match what they actually want. Snowflake (with Snowpipe and Cortex Analyst LLM agent). dbt, Python. Airflow (Astronomer), AWS (S3, Lambda), Terraform, GitHub Actions. Omni BI on top. Reverse ETL into marketing platforms. We’re early in the build, and the person we hire ...

analytics, or software engineeringComfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/ ...

willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks CertificationUp to 60% travel ...