1,026 to 1,050 of 2,612 Amazon AWS Jobs

modern frontend tooling (e.g. Tailwind or similar) is a plus Solid knowledge of relational databases (e.g. PostgreSQL) Experience with cloud platforms and infrastructure (e.g. AWS) About You You’re a hands-on builder who enjoys creating products from scratch Comfortable working in fast-paced, evolving environments Interested in startup ...

experience with LLMs and modern GenAI frameworks Experience designing AI architectures such as RAG and agent-based systems Strong Python and cloud experience across AWS, Azure or GCP Proven track record delivering AI solutions in a client facing environment If you are an experienced Client Facing R&D Generative ...

teams and deliver large-scale data solutions Strong knowledge of building data platforms, pipelines, and processing frameworks Practical experience working with major cloud ecosystems (AWS, GCP, or Azure) Comfortable using programming and data tools such as Python, SQL, and orchestration frameworks Familiarity with modern analytics and warehousing environments (e.g., Snowflake ...

Location : Central London (x3 days per week onsite - Tue/Wed/Thurs) Tech stack includes : Typescript, React, Material UI, NodeJS, Postgres, AWS (Serverless) Current team size : 35 Engineers We're working with a B2B SaaS startup company based in London, an AI procurement platform - reduces time & money saved ...

Stack Ruby Developer - Market Leading UK Business - Berkshire (2 days Onsite) - £65,000 - £75,000 (DOE) - Essential Exp: Ruby on Rails, NodeJS, ReactJS, TypeScript, AWS It's not often to get to support a company that you've seen grow from humble beginnings into a truly market leading giant ...

Proficiency with SOAP, REST APIs, JSON, and YAML. Basic Python : For data retrieval and manipulation CI/CD : Familiarity with Bitbucket Pipelines. Snowflake, Fivetran, AWS S3, and Lambda( Experience is advantageous. ...

communication skills Ability to translate complex data insights into actionable strategies Preferred Qualifications: Experience in AI-driven transformation programs Knowledge of cloud platforms (e.g., AWS, Azure, GCP) Relevant certifications (e.g., PMP, PRINCE2, Agile ...

testing (REST Assured, Karate, Postman). Performance testing using JMeter or LoadRunner. Strong understanding of DevOps, CI/CD pipelines and cloud platforms (AWS, Azure, GCP). Experience building or leading large-scale QE teams and testing practices. Desirable Experience driving automation strategy and testing CoE transformation. Exposure ...

operational tasks and infrastructure provisioning Implement monitoring and alerting systems to ensure application health and performance Manage infrastructure across on-premises and cloud environments (AWS, Azure) Ensure security compliance and implement best practices for applications and infrastructure Collaborate with internal teams and stakeholders to streamline development and deployment Troubleshoot technical ...

leadership of multiple engineering teams Strong Data Engineering/DataOps background Experience in large, dataheavy environments Python/PySpark for endto-end pipelines Strong AWS experience (design & deployment) Deep knowledge of data modelling, warehousing & lakehouse concepts Strong stakeholder management and communication skills Agile delivery experience Get in touch for more ...

data modelling (canonical models, ontologies) Experience designing enterprise data integration architectures Deep understanding of data warehousing concepts and SQL Experience with cloud platforms ( AWS, Azure, or GCP ) Ability to align architecture strategy with commercial and business objectives Apply here if you are interested ...

Zero Trust principles. Deep understanding of OWASP API Security Top 10 and secure design patterns. Experience designing security controls in cloud (Azure, AWS, or GCP). Ability to create architectural artefacts (HLDs, LLDs, security patterns). Nice to Have Certifications: CISSP, CCSP, GIAC, SABSA. Experience with DevSecOps, container security ...

Strong experience with ArcGIS Enterprise 11.5 (Portal, Server, Data Store). Hands-on expertise in ArcGIS Monitor installation and configuration. Knowledge of cloud platforms (AWS, Azure, or similar) and infrastructure monitoring. Familiarity with system performance metrics, alerting mechanisms, and dashboards. Ability to work independently and manage multiple tasks effectively. Excellent ...

technologies , including Azure and Windows Server Proven experience with VMware , LAN/WAN networks, and infrastructure security Familiar with cloud and hybrid environments (Azure, AWS, or GCP) Strong understanding of network protocols , Firewalls, DNS, VPN, and backup solutions Eligibility to work in the UK is a MUST and you must ...

understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine-tuning large-scale models . Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. ...

large-scale cloud-based data and analytics platforms. • Strong stakeholder management and ability to translate architecture into business value. Technical Skills • Cloud platforms: Azure, AWS, or GCP • Data lakes, warehouses, and lakehouse architectures • Streaming and event-driven architectures • Data modelling, SQL, and modern data engineering tools • API-led and event ...

business leaders + key stakeholders to build scalable, AI enabled + future ready telecom operations. Advantageous: ServiceNow AI features, Predictive Intelligence, Automation Engine, AIOps, AWS/Azure/GCP Cloud, Microservices, enterprise integration patterns, pre-sales, estimation + solution shaping for Telecom RFPs. ServiceNow Certifications preferred: Certified Technical Architect ...

security, compliance, and multiple engineering teams Participate in a 24/7 on‐call rotation (1 week every 4–5 weeks) Tech Stack & Skills AWS: EC2, EKS, Load Balancers, VPC — with hands‐on production experience Linux: Deep troubleshooting & sysadmin fundamentals Python: Scripting for automation SRE mindset: Incident management, observability, reliability ...

Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments ...

environment Strong technical expertise across data warehousing, ETL, and analytics Experience with tools such as Power BI, SQL, Python, and cloud platforms (Azure/AWS/GCP) Strong stakeholder management skills, with the ability to influence at senior level Ideally experience within marketing, media, or agency environments ...

client-facing experience Nice to have: Experience with Palantir Foundry or similar platforms Background in supply chain, defence, or operational analytics Cloud experience (AWS, Azure, GCP) Why Join? Work on complex, high-impact optimisation problems Exposure to modern data platforms including Palantir Join a growing consultancy with real influence ...

practical solutions Requirements: Strong understanding of the end-to-end machine learning lifecycle Strong Python programming skills Experience working with cloud infrastructure such as AWS Hands-on experience with Docker and Kubernetes for scalable deployments Solid grounding in machine learning concepts, statistics, and probability Ability to communicate effectively with both ...

Ability to translate complex business requirements into scalable data models. Strong communication and stakeholder-management skills. Preferred Qualifications Experience with cloud platforms (e.g., Azure, AWS, GCP). Knowledge of data governance, MDM, and metadata management. Familiarity with BI/analytics tools such as Power BI or Tableau. Please send ...

stitching these together with real production rigour. You'll need Strong backend engineering fundamentals (Python and/or TypeScript/Node) AWS hands-on experience: Bedrock, Secrets Manager, Lambda Production LLM/AI integration experience: evals, prompt engineering, handling unpredictable model behaviour REST API fluency: you've integrated messy third ...

Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics ...