2,626 to 2,650 of 9,120 AWS Jobs

development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines ...

development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines ...

development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines ...

power Moodys 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 Moodys technical teams and business partners throughout design and implementation phases Engage ...

frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big Data or equivalent. Demonstrated leadership and mentoring skills. Publication record in peer-reviewed journals or reputable industry publications. IBM is committed to creating ...

Ability to operate effectively within a fast-moving, high-pressure business environment. Experience engaging directly with technical and non-technical stakeholders. Desireable Exposure to AWS environments. Experience supporting AI, machine learning or generative AI initiatives. Experience integrating AI solutions into enterprise environments. Understanding of security considerations relating to AI deployment ...

similar languages for data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. Postgres, SQL Server). Data Integration Tools: Knowledge ...

understanding of DevOps concepts, CI/CD, and modern software delivery practicesHands-on experience with tools such as Jenkins, Git, Kubernetes, Docker, cloud platforms (AWS, Azure, GCP), or similarAbility to explain complex technical concepts to both technical and non-technical audiencesComfortable working in a fast-paced startup environmentExperience supporting EMEA ...

Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability to translate ...

writing production-quality, well-tested code. Strong understanding of modern Lakehouse architecture and Unity Catalog. Consulting or customer-facing delivery experience. Experience with Azure, AWS or GCP. Experience implementing CI/CD, testing frameworks and deployment automation. Excellent communication and stakeholder management skills. Desirable Databricks certification. Experience delivering ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments. Excellent communication ...

expectations. What You'll DoDesign and build microservices-based applications using Java 11+ and Spring BootDeliver enterprise-ready cloud solutions, with a focus on AWS infrastructure and servicesBuild and manage robust CI/CD pipelines and ensure secure, scalable deploymentsWrite comprehensive tests and implement quality-driven development across the stackCollaborate ...

engineers joined without prior experience in one or more of the above, and we’ll get you fully ramped up during onboardingBackend: serverless on AWS, Node.js/Python, DynamoDB, SnowflakeExperience with native mobile development (Swift, Kotlin, SwiftUI, watchOS) - useful given how close some of our hardest problems ...

Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like ...

industry specific experience. A minimum 3 years’ experience in a software development or related role. Broad experience of modern software delivery including cloud (e.g. AWS). Familiarity with common tools; Jira, Jenkins, Git, GitHub Actions, Grafana, Terraform, Kubernetes, Playwright B2B software company experience. Specific experience in SQL, Postgres, Data Science ...

Deep understanding of modern cloud environments, infrastructure-as-code, developer tooling, internal dev platforms (IDPs) and distributed systems architecture Familiarity with our tech stack: AWS, Azure, Terraform, Terragrunt, Pulumi, Kubernetes, Docker Strong knowledge of DevOps principles, CI/CD pipelines, and engineering best practices Experience driving operational excellence including reliability ...

success improving engineering standards, delivery processes or team performance. Experience in travel, reservations, booking platforms, or high‐availability transactional systems. Exposure to cloud technologies (AWS, Azure), microservices or event‐driven architectures. Experience in integration‐heavy environments or API/middleware ecosystems. The Person The successful candidate will be able ...

deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systemsYou have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructureYou've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications ...

take responsibility for outcomes in a fast-moving team. Nice to Have Experience working with multiple cloud providers or cross-cloud IAM across Azure, AWS and/or GCP. Background in developer experience (DX) or internal tooling. Experience in a startup or high-growth engineering environment. Security certifications ...

Hands-on experience troubleshooting containerized environments (Kubernetes, OpenShift) - including networking, namespace segmentation, and service-level debugging in complex enterprise deployments. Experience with cloud platforms (AWS, Azure, GCP) and enterprise software deployments Excellent communication skills with ability to explain complex technical concepts to various audiences Willingness to travel across EMEA region ...

system design principles, scalable architecture patterns and API designs Experience with both relational and NoSQL databases (Postgres, MySQL, DynamoDB) Proficiency in cloud platforms (AWS, Azure or GCP) Familiarity with CI/CD pipelines and automated testing frameworks Strong understanding of investment products, and trading workflows Special Factors Vanguard ...

implementation, tracking evidence and remediation, and supporting customer and partner due diligence. Your job is to make compliance boring, predictable, and scalable. Our environment AWS infrastructure (EKS, RDS PostgreSQL, Lambda, ECR, S3, SES, Bedrock for AI/LLM) Kotlin backend with Gradle, Next.js frontend with TypeScript GitHub Actions CI/ ...

operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker ...

develop robust data solutions, automate processes and support advanced analytical requirements. Experience working with cloud-based data platforms, ideally Microsoft Azure, with exposure to AWS or Google Cloud Platform considered advantageous. Knowledge of data orchestration and workflow management tools, such as Azure Data Factory, to support the efficient movement ...

packages (scikit‐learn, pandas, numpy, gurobi, etc.) to solve real‐life problems and visualise the outcomes (e.g., seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g., MLflow) Experience with cloud‐based ML tools (e.g., SageMaker), data and model versioning (e.g., DVC), CI/ ...