1,951 to 1,975 of 7,486 Permanent AWS Jobs

vendors including Vmware, Microsoft and RedHat. Hands on experience of large and complex datacenter infrastructure operations Experience and understanding of the top three Hyperscalers (AWS, Azure and Google Cloud) Experience with relational database software. Experience with programming/scripting language for automation Excellent written and verbal communication skills Be comfortable ...

practicesHas a deep understanding of InfoSec concepts such as: cloud infrastructure, application security, vulnerability scanning, penetration testingExperience with SIEM tools, log observability, Azure or AWS and other infosec related apps and tools preferredBachelor’s degree in information technology or a related field preferredExperience building information security tools and scripts.Experience using ...

e.g. Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable Experience supporting production systems in high‐consistency transactional environments ...

validation, cleansing, and monitoring processes to ensure accuracy, consistency, and reliability of data assets. Infrastructure & Optimization: Manage and optimize cloud data infrastructure (e.g., GCP, AWS, Azure) and on-premise systems for performance, cost-efficiency, and scalability. Collaboration: Partner closely with Data Analysts, Data Scientists, and business stakeholders to understand data ...

provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production ...

building and supporting large, high traffic applications at scale within platform/infrastructure domains 4+ years supporting and building cloud native workloads in Azure, AWS or Google Cloud 2+ years experience maintaining a Load Balancer with proven experience in abuse protection mechanisms for DDoS attacks, load shedding, etc. Preferred Qualifications ...

robust server-side logic Hands-on experience with database development and management Practical experience in backend cloud development and maintenance using platforms such as AWS, Kubernetes, or Cloud Foundry, including deploying, scaling, and monitoring cloud-based applications About the Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management ...

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. ...

Platform that supports real‐time integrations across Barclays’ digital ecosystem. Key Skills Strong experience with Java, Spring, Kafka, and microservice design. Good understanding of AWS cloud services and OpenShift/Kubernetes. Hands‐on experience with DevOps tooling and CI/CD automation. Knowledge of PostgreSQL and relational data modelling. Exposure ...

experience. 3+ years’ experience with web server and PHP applications administration (NGINX preferable). 3+ years’ experience with cloud technologies (our stack is mainly AWS), including 2+ years using infrastructure‐as‐code tools such as Terraform. 3+ years’ experience with Shell Scripting (Bash/PowerShell preferable). 3+ years’ experience ...

such as FastAPI, Flask, or Django) and are comfortable managing the full application lifecycle. You are experienced in deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker. You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with ...

generative AI applications in production. Experience building and operating large‐scale, distributed AI systems involving multiple agents, models, tools and services. Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model ...

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. ...

bring teams along on decisions. To share extra context, our current tech stack includes GCP, BigQuery, Airflow, Python, SQL on the Data side and AWS, Kotlin, Javascript, Typescript on the Product side while our infrastructure is containerised with Kubernetes. Experience across those technologies or languages would be considered a bonus. ...

Ability to translate complex business requirements into clear, practical, and deliverable solution designs Good understanding of digital platforms and cloud ecosystems, such as Azure, AWS, or Google Cloud, and how they support wider business transformation Understanding of applications, data, APIs, integration patterns, microservices, and event-driven architectures at a level ...

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 ...

infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate ...

Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory. Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP). Agile Delivery: Experience working in an Agile development environment. Data Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB). Experience ...

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 ...

meet Python, Rust and C# here, but we don't expect you to arrive knowing them all. Real-world experience with cloud platforms (Azure, AWS or GCP) and containerised deployment on Kubernetes. You understand how production systems get shipped, monitored and scaled, not just written. Comfort with data at scale ...

FastAPI, Shiny, and Django is highly desirable. Data Engineering & Architecture Understanding: Solid understanding of data warehousing concepts, ETL processes, and cloud platforms (e.g., GCP, AWS, Azure) and their data services. Tool & Product Development: Hands-on experience in developing and maintaining analytical tools, dashboards, and automated solutions. Familiarity with MLOps principles ...

experience) for applying it individually and across a team's pipeline Beneficial Aptitude with CI/CD pipelines (GitLab preferred) and cloud computing, preferably AWS Experience with harness engineering or integrating AI/LLM-based tooling into a workflow or CI/CD pipeline, or with AI-assisted code review ...

enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar ...

. API Gateways: Experience hardening API gateway patterns (authentication, routing, rate limiting, access policy enforcement). Cloud & Data Environments: Technical comfort working across Azure, AWS, or Databricks platform ecosystems. Pragmatic Mindset: Highly autonomous engineer comfortable in a lean team; skilled at translating architectural specs into practical code and communicating trade ...