2,226 to 2,250 of 8,656 AWS Jobs

Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. ...

communication skills with the ability to present complex technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language. Desired* AWS experience including AI services such as Bedrock and the Serverless ecosystem.* Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user ...

Solid grasp of production engineering fundamentals: cloud, reliability, security, monitoring, CI/CD Technical environment (Not hands-on coding daily, but technically credible) Cloud: AWS/Azure/GCP AI/ML delivery: model deployment, MLOps/LLMOps, monitoring, iteration Platform foundations: Kubernetes (EKS/AKS), CI/CD, GitOps ...

cloud security engineering, application security, security architecture, DevSecOps, or security automation. Hands‐on experience with at least one major cloud platform such as AWS or Azure. Practical knowledge of IAM, logging, encryption, secrets management, network security, storage security, vulnerability management, and secure CI/CD. Experience with infrastructure‐as‐code ...

focused SRE (hardening, compliance automation, secrets management) + Network reliability & traffic management* Strong programming skills (e.g. **Go, Python, or similar**)* Experience with **cloud platforms (AWS, GCP, Azure)** and **Kubernetes*** Strong communication skills, with the ability to explain complex technical concepts clearly* Self-driven with the ability to identify and prioritise ...

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 You are passionate about creating products that ...

Excellent communication skills; both written and verbal Public Cloud Architecting: Hands-on experience designing and implementing big data architectures within major public cloud environments (AWS, Azure, or GCP) Strategic Enablement & Community Mentorship Experience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery methodologies and ensure smooth handoffs. ...

semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform/Spacelift Why else you’ll love it here Wondering what the salary for this role is? Just ask us! On a call ...

production-ready inside a bank’s own environment and tooling. Current technologies across the portfolio: Java, Python, C#/.NET, SQL and data engineering, AWS and Azure, CI/CD and testing practice, and the current generation of AI and agentic development tooling. What you will be accountable for Technical ...

language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills: Proven ability ...

starter with ability to work effectively in teams. Proficiency in Go, Python, C++, or other statically typed languages. Experience/knowledge with public clouds (AWS, Azure or GCP). What Gives You an Edge Experience with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit ...

cost efficiency. You will likely bring experience in many of the following areas: Kubernetes platform engineering Cluster autoscaling and workload optimization Public cloud services (AWS, Azure or GCP) DevOps and CI/CD practices Site Reliability Engineering (SRE) FinOps and cloud cost management We are open to applications from experienced ...

approach to testing the software around it Ideally exposure to one or more of: performance and security testing, Kubernetes and cloud (Azure/AWS), MLOps or edge deployment, or IoT/industrial protocols (MQTT, Modbus, OPC-UA) Ideally domain knowledge in data centres, cooling/HVAC, or building-management systems ...

Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

SABSA, MITRE ATT&CK, NIS2) and able to apply them selectively rather than wholesale. Cloud platform experience across at least two of Azure, AWS, and GCP, including hybrid architectures. Able to translate a technical vulnerability into a financial or operational risk statement that a CFO or board would act on. ...

doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

technology structure principles. Experience gathering and analysing system requirements. Broad understanding of modern technology domains relevant to solution architecture, including cloud platforms (Azure, AWS, M365) and hybrid cloud environments. Experience applying integration patterns, API‐led design and service‐oriented approaches across complex systems. Awareness of data platforms, information architecture ...

influence and provide direction without relying on formal authority. Experience with frontend technologies such as React JS is desirable. Knowledge of cloud platforms, with AWS preferred. Familiarity with SQL and NoSQL databases. Solid understanding of computer science fundamentals, including data structures, algorithms, concurrency, and system design. Strong understanding of modern ...

.* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable AI delivery.* Proven ability to set and uphold coding and model evaluation standards for production environments.* Excellent communication skills ...

models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored ...