2,226 to 2,250 of 7,469 Permanent AWS Jobs

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

platform. You will intelligently help route, collate, filter, and normalise logs, ensuring data is tagged as soon as possible and enriched at the edge. AWS Cloud Telemetry Integrity: Support the end-to-end flow of AWS security telemetry (CloudTrail management and data events, VPC Flow Logs, GuardDuty findings, EKS/… scores to ensure high‐fidelity alerting. Required Technical Skills & Experience Technical Core Cloud Platforms: Proven hand‐on experience designing and securing cloud infrastructures within AWS, and ideally with Azure and Google Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols ...

platform. You will intelligently help route, collate, filter, and normalise logs, ensuring data is tagged as soon as possible and enriched at the edge. AWS Cloud Telemetry Integrity: Support the end-to-end flow of AWS security telemetry (CloudTrail management and data events, VPC Flow Logs, GuardDuty findings, EKS/… scores to ensure high‐fidelity alerting. Required Technical Skills & Experience Technical Core Cloud Platforms: Proven hand‐on experience designing and securing cloud infrastructures within AWS, and ideally with Azure and Google Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols ...

platform. You will intelligently help route, collate, filter, and normalise logs, ensuring data is tagged as soon as possible and enriched at the edge. AWS Cloud Telemetry Integrity: Support the end-to-end flow of AWS security telemetry (CloudTrail management and data events, VPC Flow Logs, GuardDuty findings, EKS/… scores to ensure high‐fidelity alerting. Required Technical Skills & Experience Technical Core Cloud Platforms: Proven hand‐on experience designing and securing cloud infrastructures within AWS, and ideally with Azure and Google Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols ...

Java/J2EE application development or a similar role. Strong knowledge and hands-on experience with container and cloud technologies such as Kubernetes, OpenShift, AWS, and Azure. Strong expertise in Java/J2EE technologies. Proficiency with Spring and Spring Integration. Experience with Cassandra, Kafka, MQ, NoSQL, and RESTful services. Knowledge ...

providing support and line management to data engineers on your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core ...

ethic Strong analytical and problem-solving skills Excellent communication (both written and verbal) and interpersonal skills Experience of cloud technologies such as Azure/AWS/GCP Previousexperience working with source control tools (TFS, SVN, or GIT) Legal right to work in the UK Desirable Criteria Experience with Azure Functions ...

handling high-frequency data updates in UI applications Strong understanding of application profiling and tuning techniques Knowledge of AI integration or cloud technologies, especially AWS Experience working in fast‐paced, agile environments within financial services About Us J.P. Morgan is a global leader in financial services, providing strategic advice ...

HTTP, REST, TCP/IP). Familiar with version control tools (e.g. Git, SVN). Familiar with UML, OOP, and design patterns. Familiar with AWS services and/or GCP. Proficiency with distributed caching and message‐oriented middleware (e.g., Kafka). Experience with Docker and Kubernetes. Experience running experiments ...

Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively. Cloud expertise - Knowledge of cloud platforms (e.g. AWS, GCP, Azure) and tools for data analytics or data science, and experience with data modelling and data management Collaborative team player– Collaborate with cross-functional ...

Experience with RxJS and state management (e.g., NgRx) Experience integrating with REST APIs Understanding of .NET back-end environments Experience working with AWS-hosted applications Proficient with Git and GitHub (PRs, branching, code reviews) Experience with CI/CD pipelines and automated testing Desirable Experience with C# Experience with … Tailwind framework Knowledge of AWS services (e.g., S3, CloudFront, Lambda, API Gateway) Experience of the Vitest testing framework Enterprise or large-scale application experience Personal Attributes Strong critical thinking and proactive problem solving skills Clear and confident communicator, both written and verbal Composed and resilient under pressure Attention to detail ...

Lakehouse Engineer to join our team on a hybrid contract basis. This role focuses on designing, building, and optimizing modern data lakehouse architectures using AWS-native services and open table formats like Apache Iceberg. You will play a key role in enabling scalable, secure, and high-performance data platforms.Key Responsibilities … Design and implement scalable AWS Data Lakehouse solutions Develop and maintain data pipelines using Python and PySpark Work with AWS services including: S3, EMR, Lambda, IAM, EKS, MWAA Build and manage Apache Iceberg tables for efficient data storage and querying Implement CI/CD pipelines for data platform deployments ...

facing deliverables Working with large and complex datasets, ideally in structured databases and distributed systems like Databricks Cloud-based platforms such as Microsoft Azure, AWS or Google Cloud Experience in some of the following areas would also be beneficial: Generative AI and machine learning concepts and applications Structured and unstructured ...

deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures Experience writing code in one or more of the following areas, multiple areas of experience would ...

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 ManageMentor, Cybersecurity qualifications and much more.You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your ...

them, for example by connecting them to a client’s own information Working knowledge of at least one major cloud provider (Microsoft Azure, Amazon Web Services or Google Cloud) A practical view of what it takes to move from proof of concept to live: testing, security, monitoring, support and cost ...

them, for example by connecting them to a client’s own information Working knowledge of at least one major cloud provider (Microsoft Azure, Amazon Web Services or Google Cloud) A practical view of what it takes to move from proof of concept to live: testing, security, monitoring, support and cost ...

handling high-frequency data updates in UI applications Strong understanding of application profiling and tuning techniques Knowledge of AI integration or cloud technologies, especially AWS Experience working in fast-paced, agile environments within financial services #J-18808-Ljbffr ...

user need. We prefer short feedback loops to polished first attempts. We build the smallest thing that works. Stack: Python (Flask), Postgres, Celery and AWS (ECS, Lambda, SQS) on the backend; React and TypeScript across web and mobile; GitHub Actions for CI/CD. Experience with our stack helps ...

related field Required skills and experience 5+ years of hands‐on technical experience in SRE, Platform Engineering, Infrastructure, or related roles Strong experience with AWS (or Azure), including services such as EKS, ECS, EC2, networking, IAM, and managed services Solid understanding of cloud security principles and experience collaborating with security ...

Solid DevOps experience with at least one modern cloud hosting platform that’s appropriate for our products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration ...

Location: Bath --------------------------------------- JOB DETAILS Role Title: Senior Data Engineer The Senior Data Engineer must be an experience data professional with in-depth skills on AWS Cloud architecture, AWS data services, Data Pipeline automation (with AI integrations desirable) and ETL development (design, build, test and performance tune). Must have knowledge … technical stakeholders, the individual must have clear and adequate communication with different stakeholders at the various levels of seniority. Knowledge and Experience - essential - AWS Glue ETL - AWS Glue Data Quality - AWS Lambda - AWS Lake Formation - Medallion Architecture based ETL processes using S3, Iceberg and Athena - Azure DevOps/AWS CodeCommit ...

technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration ...

ready systems with strong governance and observability. This hybrid role spans architecture, leadership and hands‐on coding in Python/TypeScript on Azure/AWS/GCP with Kubernetes, data engineering and Responsible AI practices. UK client travel is expected. #J-18808-Ljbffr ...