3,926 to 3,950 of 8,907 AWS Jobs

strong plus. Solution Architecture: A proven track record of designing and owning data platform architectures at scale, across at least one major cloud (Azure, AWS or GCP), with a clear grasp of the non-functional requirements that make or break them. Data Engineering Depth: Strong command of Spark ...

Data Cloud, MuleSoft, OmniStudio, and Agentforce for automation and integration. Experience with integration technologies, master data management, and familiarity with other cloud platforms (e.g., AWS).Ability to analyse, design, and optimize business processes through technology and integration. Demonstrated experience guiding customers and project teams in adopting emerging technologies for business ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...

data warehouses and scalable data platforms. Expert Python and SQL skills, with experience working with large datasets and distributed systems. Hands-on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch. Experience working with relational and NoSQL databases, alongside strong data modelling skills. A solid understanding of data ...

reason about production code and hold your own with senior engineers, with working knowledge of Java/Kotlin and JavaScript/TypeScript (React).Solid AWS security experience, including securing cloud-native, containerized environments (e.g. EKS).Hands-on experience with security tooling across the SDLC, such as SAST, DAST, and dependency ...

technologies: Java(built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places Cloud & AWS technologies, driving our journey into public cloud architecture Docker, for our containerised applications Jenkins, for continuous integration and deployment And meet most of the following ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...

proficiency in SQL and Python. Experience with data engineering and pipeline technologies such as Apache Airflow and Spark. Experience working with cloud platforms, particularly AWS and Azure. Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance ...

quality code and building lean processes. It would be helpful to have experience/expertise/knowledge in the following (in rough priority order): AWS Terraform/OpenTofu IAC Postgres CDC systems Kubernetes (EKS) Python Docker An interest or experience in data/network security would be a nice ...

Looking For5+ years of experience in software engineering with demonstrated leadershipHands-on experience deploying enterprise software at scaleStrong expertise in cloud infrastructure (Azure, AWS, GCP)Experience with Kubernetes, Helm, and CI/CD pipelinesHigh agency — you don't wait for permission to solve problemsA doer mentality ...

offs. Strong stakeholder management and influencing skills. Excellent written and verbal communication skills. Experience producing architecture assessments, recommendations and assurance reports. Good understanding of AWS-hosted application architectures and cloud-native design principles. Strong understanding of security, resilience, supportability and operational considerations within application design. Experience within central government, national ...

have a flat hierarchy and give you the opportunity to make a real impactYour toolkit: You'll work with Kotlin, Kafka, Kubernetes, Docker, AWS Aurora Postgres, and other modern technologies. If you haven't worked with all of these, we value skilled engineers with a willingness to learn. A product ...

permissioned and audited in an enterprise environment, and can defend them. TECH Backend: Python/Django, Golang, Node.js, Postgres, Redis Messaging: RabbitMQ, Kafka Infrastructure: AWS, Kubernetes, Ra #J-18808-Ljbffr ...

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. You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere ...

distributed systems, or ML platforms).Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems. AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including ...

relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool ...

that serve your own work. Hands-on with a major cloud and its managed AI services (Azure and AI Foundry, or the GCP/AWS equivalents), plus solid SQL and relational modelling. Architectural judgement: you make the design call, defend the trade-offs, and know where an LLM system needs ...

other teams and systems. Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling. What You'll Do: Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query ...

with Helm Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version controlYou have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualizationYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetIt's a bonus ...

responsible for the following: Designing, implementing, documenting, and maintaining software solutions. Full stack development using Front End technologies such as React, integrating AWS services and open source tooling, using a variety of different databases (e.g. MongoDb or ElasticSearch) and developing in Java, TypeScript or Python. Integration of AI into data ...

Bash is a plus. Linux, including an understanding of resource allocation, network and/or internals. Experience working with cloud solutions (GCP or AWS).Deep understanding and demonstrable experience with modern monitoring tools such as Prometheus, Datadog, Grafana, TelegrafExperience with infrastructure as code tools. Experience with complex Terraform deployments ...

from frontend through to API/service developmentAn end-to-end engineer, comfortable and experienced designing and deploying to cloud environments (e.g. GCP, Azure, AWS + CI/CD)Someone who takes pride in their craft and centres technical decisions around user needs.Comfortable and excited about uncertainty. We start with ...

LakeLightdash as our BI tool and semantic layerStreamlit for interactive data applicationsAirflow for orchestrationKubernetes for application deploymentCI/CD with GitHub and CircleCIInfrastructure on AWS, deployed with Terraform/Spacelift Why else you'll love it here Wondering what the salary for this role is? Just ...