2,226 to 2,250 of 8,635 AWS Jobs

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 ...

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 ...

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 ...

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 ...

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 ...

software engineering fundamentals with proficiency in Python, Go, Ruby, or similar languages, and experience working in production codebases Hands-on experience with cloud environments (AWS preferred), including services such as CloudTrail, GuardDuty, and VPC flow logs Experience with log aggregation and analysis platforms (e.g., Datadog, Splunk, ELK) and endpoint detection ...

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 ...

decisions, review code meaningfully, and set the standard for your squad. Able to lead a team across our core stack - a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end - deep expertise in some areas, with the breadth to engage credibly across ...

with a strong coaching and mentorship style Deep understanding of modern data architectures, data integration best practices, orchestration patterns, and cloud-based data platforms (AWS, GCP, or Azure) Technical credibility with data engineering practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar ...

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 Manage Mentor, Cybersecurity qualifications and much more. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. At Capgemini ...