751 to 775 of 4,472 AWS Jobs

identify dependencies, provide accurate estimates, and document project-level technical decisions and how infrastructure components interact. Design, deploy, and operate secure, scalable systems in AWS, and know when and how to pull in other teams to support cross-cutting initiatives. Independently plan and drive technical improvements to the compute … consequences. Deep, hands-on expertise operating Kubernetes and container orchestration in production, including cluster scaling, upgrades, and multi-tenancy. Strong experience with cloud platforms (AWS preferred), including networking, IAM, account structuring, and cost management. Proficiency in Infrastructure-as-Code (Terraform preferred) and building provisioning or automation frameworks that other engineers ...

data challenges (e.g. public sector, manufacturing, consumer products, energy, etc.) (nice to have)* Working knowledge of one or more major cloud platforms (e.g. Azure, AWS, GCP) and their data/AI ecosystems (nice to have)* Working knowledge of one or more architectural frameworks such as TOGAF (nice to have)* Holds … 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.**Why we’re different**At Capgemini, we help organisations across the world become more agile, more ...

Django on a service-oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software … PostgreSQL preferred), including schema design, normalisation, and query optimisation Solid grasp of computer science fundamentals : data structures, algorithms, and software design patterns Experience with AWS and cloud-native infrastructure; familiarity with CI/CD pipelines (e.g. Jenkins) Ability to work UK working hours (+/- 3 hours) Excellent communication skills ...

within multidisciplinary teams Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence programmes Familiarity with secure software development within highly ...

JIRA Requirements: Solid experience in delivering Java or other JVM languages; familiarity with JS/TypeScript is a plus. Experience with cloud platforms (Azure, AWS) and infrastructure automation (Terraform). Good understanding of SQL (PostgreSQL) and NoSQL databases (e.g., Cosmos DB). Familiarity with monitoring and alerting tools (Splunk, xMatters ...

/DAST platforms Code scanning tools CI/CD pipelines (GitHub, GitLab, Jenkins etc.) Container security platforms Cloud security tooling Technology Environment Cloud platforms (AWS, Azure or GCP) Containerised platforms (Docker/Kubernetes) Microservices architectures REST APIs and modern application frameworks Identity and access management solutions Ideal Candidate Background ...

quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production impact. The package includes: Competitive base salary Performance-based ...

Excellent time management and proactive problem‐solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure ...

skills, with experience coaching engineers, building accountability, and helping teams plan and deliver effectively. A solid technical background in backend engineering, including Node.js, TypeScript, AWS, APIs, and production systems supported by SQL or NoSQL data stores. Good understanding of CI/CD, observability, incident support, and modern engineering practices such ...

PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands‐on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications ...

database troubleshooting. Experience with monitoring and observability tools such as Splunk, Dynatrace, AppDynamics, Grafana, Azure Monitor, or equivalent. Understanding of cloud platforms (Azure, AWS, or GCP). Familiarity with APIs, middleware, and integration technologies. Knowledge of ITIL principles and service management best practices. Excellent problem-solving and analytical abilities. Strong ...

role supporting enterprise or production environments. Hands‐on experience configuring and managing firewalls, routers and switches. Experience provisioning and supporting cloud networking across Azure, AWS or GCP. Strong knowledge of LAN, WAN, software‐defined networking, TCP/IP, DNS and network monitoring tools. Experience using Infrastructure as Code tools such ...

undocumented APIs. Hands‐on GPU compute and performance debugging (CUDA/NCCL, GPU utilization, networking bottlenecks, profiling). Working knowledge of cloud environments (AWS, GCP, or Azure), including object storage, IAM, and cost awareness. Proficient with containers (Docker, Kubernetes) and comfortable reading and writing IaC (Terraform) for the surfaces ...

development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java ...

development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java ...

development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java ...

Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud What's in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here's what ...

expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

Deep skill in driving technical solutions across multiple teams Strong experience with Terraform and CI/CD Strong experience managing infrastructure in the cloud (AWS or Azure) Experience using languages such as Go, Python, C#, Java, or similar. Experience designing tooling to simplify the operational management of SaaS/PaaS ...

good understanding of the machine learning development lifecycle, including data extraction, feature engineering, modelling, evaluation, deployment and ongoing monitoring. Experience with cloud infrastructure, ideally AWS, alongside DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such ...

expertise not mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider ( AWS, GCP, or Azure ) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming ...

ability in using AI-augmented development workflows (e.g., Claude, Codex, Copilot). Experience designing and developing resilient REST APIs and cloud-native applications (preferably AWS). Good understanding of microservice architecture and backend design principles. Solid knowledge of Postgres, Redis, and ideally DynamoDB. Nice-to-Have Familiarity with asynchronous ...

designing, building, and operating scalable, highly available distributed systems in a cloud‐native environment. Modern tech stack experience: Demonstrable experience with cloud platforms (preferably AWS), containerisation (Docker, Kubernetes), and API design (gRPC, REST). Database expertise: Hands‐on experience with both relational and NoSQL databases. A people‐first approach: Deep ...

designing, building, and operating scalable, highly available distributed systems in a cloud-native environment. Modern tech stack experience: Demonstrable experience with cloud platforms (preferably AWS), containerisation (Docker, Kubernetes), and API design (gRPC, REST). Database expertise: Hands-on experience with both relational and NoSQL databases. A people-first approach: Deep ...