3,326 to 3,350 of 9,082 AWS Jobs

passion for clean, performant code and continuous improvement. Bonus Points For: Experience with AI tooling (Claude, Co‐Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases. Exposure to tick data, real-time analytics, electronic trading systems. People management or team leadership experience. Contract and permanent ...

including taking models into production. Hands-on experience with frameworks such as Scikit-learn, TensorFlow or PyTorch. Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of cloud architecture, infrastructure and security. Practical experience with Docker and Kubernetes or similar containerisation/orchestration technologies. A good understanding ...

experience delivering Databricks solutions. Consulting or customer-facing delivery experience. Strong understanding of Apache Spark, modern Lakehouse architecture and Unity Catalog. Experience with Azure, AWS or GCP. Experience implementing CI/CD and deployment automation. Excellent communication and stakeholder management skills. Desirable Databricks certification. Experience delivering AI or Generative ...

front-end skills will also be considered Experience with Entity Framework or comparable back-end/data-access technologies Azure experience is desirable, although AWS or Google Cloud exposure is also relevant Good understanding of cloud development, DevOps, testing and release processes Previous experience of mentoring, technical leadership, code reviews ...

Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams and business partners throughout design and implementation phases ...

Experience designing scalable log collection and processing architectures Knowledge of data governance, retention and security telemetry across cloud, endpoint and network Experience with Azure, AWS, GCP or hybrid environments Strategic mindset with a focus on long‐term data quality and platform evolution Strong communication skills, with ability to explain complex ...

development lifecycle from code to production, including deployment and monitoring Our Tech Stack Languages & Frameworks: C# (.NET 6–10) Databases: DynamoDB, PostgreSQL Cloud & Infrastructure: AWS Cloud, Docker, Terraform CI/CD & DevOps: GitHub Actions Monitoring & Logging: New Relic, ELK Stack We’d love to hear from you if you Have ...

performance optimisationExperience designing scalable log collection and processing architecturesKnowledge of data governance, retention and security telemetry across cloud, endpoint and networkExperience with Azure, AWS, GCP or hybrid environmentsBehavioural: Strategic mindset with a focus on long-term data quality and platform evolutionStrong communication skills, with ability to explain complex concepts ...

strong positive signal. Hands-on production experience with graph neural networks, anomaly detection, or behavioural biometrics, beyond prototyping or fine-tuning. Familiarity with AWS (SageMaker, Lambda, S3, Athena) and CI/CD practices. Experience mentoring or technically guiding other data scientists. Please include a CV in English. Curious to learn ...

domain-specific models, RAG, embeddings, and vector databases.Familiarity with agentic AI concepts and orchestration frameworks.Experience deploying AI solutions on cloud platforms such as Azure, AWS, or GCP.Strong problem-solving skills and a passion for innovation.Excellent communication and collaboration skills.A curious, hands-on mindset with a desire to experiment, learn ...

grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience in LLM model ...

team practices. The Tech Stack for this role includes Golang, MySQL, Docker images deployed on a Kubernetes cluster in our cloud infrastructure (GCS, AWS or Azure) and Github CI/CD. What you'll bring Bachelor's or Master's degree in Computer Science or equivalent practical experience. 3+ years ...

with modelling approaches such as: Star Schema OBT Knowledge of modern architectures: Medallion Lambda Kappa Experience building or contributing to cloud-based data platforms AWS preferred Familiarity with: S3 Glue Athena Data Science & MLOps Exposure to: data analysis MLOps feature engineering Curiosity and willingness to go deeper in these areas ...

multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies ...

while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production — including architecture, implementation ...

users. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis ...

with the ability to explain attack techniques (supply chain, API, malware, runtime) in depth. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) and container technologies (Docker/Kubernetes). Comfortable and hands-on with Linux; Windows knowledge is a plus. Familiarity with networking fundamentals ...

tooling like Make. Experience with k8s-related build tooling like kustomize or helm is also meriting. Experience integrating software with Google Cloud Platform, AWS and Azure Some experience in common software observability practices such as tracing, logging and metrics exporting. #J-18808-Ljbffr ...

team members with the support and resources they need to succeed. Tech Stack Java Spring Boot, Kafka, gRPC/REST, Kubernetes and Cloud (AWS or Azure). What We're Looking For Master Java and Spring Boot, and comfortably make tweaks in TypeScript/React, Go, and Python. A proven ...

accelerators : We share what we know. Our playbooks and toolkits fast-track your success on projects. All the shiny tech : Databricks, Snowflake, Azure, GCP, AWS - you’ll use it, play with it and maybe even break it (responsibly). Senior consultants who have your back : You’ll always have ...

with databases and writing SQL queries, and comfortable partnering with data and application engineers. Bonus Points for Good understanding of cloud technologies such as AWS Serverless, API gateway, Kubernetes, and Terraform, with the ability to guide teams on infrastructure best practices. Experience with monitoring tools like DataDog and general observability ...

teams. The skills and experience you needWe are looking for someone who: Has knowledge of cyber security architecture within cloud provider environments such as AWS and/or Azure. Knowledge of Kubernetes is also a bonus. Brings specialist security hardening knowledge in one or more areas including embedded Linux ...

engineering teams and delivering complex digital products. Architecture and technical strategy in modern technology environments. Technologies such as TypeScript, React, Node.js, Go or Rust. AWS, cloud‐native platforms and Infrastructure as Code. Docker, Kubernetes and CI/CD practices. Microservices, distributed systems and modern databases. Coaching engineers and fostering high ...

engineering teams and delivering complex digital products. Architecture and technical strategy in modern technology environments. Technologies such as TypeScript, React, Node.js, Go or Rust. AWS, cloud-native platforms and Infrastructure as Code. Docker, Kubernetes and CI/CD practices. Microservices, distributed systems and modern databases. Coaching engineers and fostering high ...

agents use memory, tools, and retrieval to complete multi‐step tasks. Enterprise integration: Integrating AI into existing systems via APIs and data pipelines. Cloud: AWS, Azure, or GCP. Delivery: CI/CD, modern SDLC, TDD, and code review. Data: Working with relational, columnar and vector stores, grounded in sound data ...