3,126 to 3,150 of 7,499 Permanent AWS Jobs

real-time applications with deep knowledge of Reactive Programming Principles and tools like Akka, Kafka, WebFlux, RXJava Hands-on experience of both MongoDB and AWS cloud Industry experience within Financial Services, preferably within the Payments arena or at the very least, high volume, low latency platforms Please note you will ...

problem-solving skills and the ability to work across hardware and software boundaries Bonus: low-power wireless (Thread, Zigbee, BLE); cloud IoT services on AWS, Azure or GCP; secure boot, TPMs, secure elements or hardware attestation; EMC/RF testing, antenna bring-up or factory test; awareness of standards such ...

engineers to implement features across our estate of cloud native software products and services. We’re working in modern JavaScript/TypeScript, hosted on AWS with Kubernetes, with a fully automated continuous integration pipeline. This permanent position is based in our London Kings Cross office. The close date for this … applications written with ECMAScript, TypeScript, Node.js, React, Next.js, etc Experience designing and developing HTTP APIs in Node.js Understanding of DevOps/modern infrastructure practices (AWS, Docker/Kubernetes, CI, etc) and a desire to learn more Experience in (automated) testing (unit, integration, E2E, etc) and a keen interest in testing ...

disciplines Ability to design and implement effective cybersecurity and technology controls Subject matter expert-level knowledge of Google Cloud Platform, Azure, and/or AWS with how controls are applied to secure data and maintain availability. Good knowledge of cloud services such as PaaS, IaaS, and SaaS and Kubernetes solutions ...

with JavaScript, React, Redux Saga, HTML and CSS. On the back end, you use Java/J2EE, Maven, jOOQ and MySQL, with Docker and AWS forming part of the wider development environment. Alongside building new functionality, you improve what is already there. You investigate application issues, resolve bugs and identify … equivalent practical experience or qualifications. You must have the right to work in the UK. It’s a plus if you have experience with AWS services such as EC2, RDS, SES or SWF; React Native; Jenkins; Python; or Bash. Familiarity with GitHub, IntelliJ and macOS is also useful. Using ...

threat modelling, red teaming or secure machine‐learning operations. Experience with DevOps practices, automation and CI/CD pipelines, such as Jenkins. Experience with AWS services and multi‐cloud security across GCP, Azure and AWS. Experience integrating GCP security logs and findings with Microsoft Sentinel to support detection, investigation ...

above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency ...

above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. Shared energy You’ll be bringing your unique skills and perspectives to the team, inspiring and taking ...

expectations across diverse stakeholder groups. Understanding of modern security principles, including Secure by Design and Zero Trust Architecture. Understanding of cloud architectures across Azure, AWS and other platforms. Ability to produce high-quality solution designs and application architectures aligned with the Data & Analytics architecture principles and strategy. Nice to haves ...

Senior Full Stack Software Engineer AI Native Engineering Hybrid Ireland Full-time Company Overview Kappture develops point-of-sale, payments and hospitality technology for high-volume environments, including stadiums, arenas, universities and major event venues. ...

Defra, GDS, Cabinet Office or similar. Experience supporting competitive procurements, frameworks, bids, proposals or capture activities. Cloud or architecture certifications such as Azure, AWS or TOGAF are useful but not a substitute for relevant experience. Ability to create confidence with customers, strengthen capture strategy and improve the quality of major ...

evaluation tooling that other teams depended on, and care whether a number is right. Have operated distributed systems on Kubernetes in a public cloud. AWS experience helps most. Have built and shipped systems end to end, including APIs (REST or GraphQL) and integrations with outside services. Know relational ...

problem-solving skills. Ability to work effectively within a high-pressure production environment. Desirable Skills Experience with cloud-based database services such as: AWS RDS Azure SQL Database Google Cloud SQL Automation experience using Ansible . Awareness of Apache Tomcat and JVM environments. Experience supporting Very Large Databases (VLDBs) . ...

ways that matter to you. The ESG Technology platform is a containerized, cloud first blend of Python, C#, Postgres, Snowflake, Typescript, React and AWS products. Role Summary and Job Responsibilities Analysis and delivery of complex Front Office investments data and analytics tools with a focus on ESG data Pro-active … handling large datasets Experience with linux, docker and cloud-based development platforms and cloud-based technologies and architecture with a bias towards Gitlab & AWS Academic background in a natural science or other quantitative discipline is beneficial, particularly where it supports strong analytical and data-oriented problem solving Hands-on experience ...

data engineering standards and best practices. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python development. Advanced SQL skills. Experience with Azure, AWS or GCP. ETL/ELT development. Data pipeline design and optimisation. Core data engineering principles. Strong stakeholder communication skills. Working independently within fast-paced project ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.Shared energyYou’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from ...

stays connected to customer value. You’ll contribute to a culture where everyone thinks about reliability, not just the "platform person". Our stack AWS, MongoDB, GraphQL, React, TypeScript, Python, Terraform. We have strong DORA metrics, we pair program, we deliver value in small increments and observe change. The tooling … looking for You have: 5+ years of software engineering experience, with meaningful time spent in DevOps, SRE, or platform engineering roles Deep experience with AWS and infrastructure‐as‐code (we use Terraform, SST/CDK) A strong grasp of what it takes to keep production systems reliable: CI/ ...

developing high-quality software in Python. Experience of developing backend services, APIs and data engineering pipelines. Experience of using cloud platforms such as AWS or Azure, Docker, Git and CI/CD. Experience of designing or developing machine learning and AI systems, including Large Language Models. Experience of completing code ...

infrastructure and workflows Skills and experience as the Senior Data Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end-to-end data modelling experience Experiencebuilding batch and real-time data integrations Hands-onCICD ...

remaining hands‐on in the design and delivery of platform capabilities. Key Responsibilities Define and evolve the technical strategy, architecture, and roadmap for an AWS cloud platform. Design and build scalable, secure, resilient, and reusable platform capabilities. Develop self‐service tooling and services that abstract operational complexity and improve developer ...

remaining hands-on in the design and delivery of platform capabilities. Key Responsibilities Define and evolve the technical strategy, architecture, and roadmap for a AWS cloud platform. Design and build scalable, secure, resilient, and reusable platform capabilities. Develop self-service tooling and services that abstract operational complexity and improve developer ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.Flexibility to work your way You will be encouraged to have a positive work-life balance. Our hybrid ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance ...

maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch … highly valued skills may include: Experience supporting or mentoring colleagues within machine learning engineering or software development teams Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative ...