1,101 to 1,125 of 10,932 AWS Jobs

compliance standards. Technical Skills Strong hands-on experience with Java and/or Kotlin. Expertise in REST APIs, microservices, and distributed systems. Experience with AWS/multi-cloud cloud-native environments. Hands-on experience with messaging frameworks and event-driven architectures. Strong understanding of relational databases and data architecture patterns. ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

high-impact use cases that accelerate drug development and commercial outcomes.Solution Strategy & Shaping: Translate complex business problems into scalable, value-led architecture roadmaps across AWS, Azure, and GCP. Lead end-to-end solutioning for high-value pursuits.Architecture Leadership: Provide technical governance for critical programs. Drive the adoption of modern data … hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j).Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA, S3), Azure, Airflow, Terraform, Docker, Kubernetes, and Jenkins.Programming: Advanced skills in Python, SQL, Scala, Java, and Shell Scripting.Leadership CompetenciesStrategic Advisory: Proven ...

different types of data (text, numerical, categorical). Experience in project management experience in a DevOps environment. Experience in using cloud environment (e.g. Azure, AWS). Experience using Git. Solid understanding of mathematics, probability, and statistics. Deep knowledge in a range of machine learning techniques (Supervised and unsupervised). Understanding … Experience of exercising software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection. Experience in using cloud environment (e.g. Azure, AWS). Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. Experience using Excel, SQL, Power BI, Tableau. Experience using ...

same time, our engineers own what they ship: every service running in production is the direct responsibility of the team behind it.ð ️ Our Stack:AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlinð You should apply if you:have strong demonstrable experience and passion for backend developmentlike working … architecting microservices systems, including distributed data management and event-driven architecturesare skilled in designing and operating containerised software hosted in a Cloud Provider (AWS, Azure, or GCP)have experience with cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etchave experience writing strongly-typed languages ...

orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork Good problem-solving and analytical skills … open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation and continuous improvement Passion for mentoring and developing others #J-18808-Ljbffr ...

/CD practices, and strong engineering standards.**Cloud & Platform Modernization*** Contribute to our cloud migration initiatives by building containerized, cloud ready services.* Work with AWS services (e.g., Lambda, EKS, RDS, S3, MSK) to help move workloads off legacy environments.* Participate in improving observability through metrics, tracing, and logging.**AI & Automation … with Java (preferably Java 17+; ideally Java 21) and back-end development* Familiarity with microservices, REST APIs, and event driven architectures.* Some exposure to AWS or cloud native engineering concepts (containers, CI/CD, infrastructure as code).* Interest or experience in using AI tools to boost productivity (code generation ...

particularly welcome applications from people with experience in Databricks or Splunk A proven track record in platform engineering, particularly with: Azure/AWS/GCP, Terraform, Ansible, CI/CD pipelines, Kubernetes, and VCS (GitHub). Can demonstrate tangible experiences of end-to-end delivery. A background in infrastructure … 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 ...

integration.* Security frameworks and compliance controls.* Observability and logging.**Preferred Certifications*** Kubernetes CKA/CKAD.* Terraform Associate.* Red Hat Ansible certification.* Google Cloud, AWS, or Azure certification.* Cisco, Juniper, Nokia, or Ericsson automation-related certifications.* TM Forum Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini ...

with different types of data (text, numerical, categorical).Experience in project management experience in a DevOps environment.Experience in using cloud environment (e.g. Azure, AWS).Experience using Git.Solid understanding of mathematics, probability, and statistics.Deep knowledge in a range of machine learning techniques (Supervised and unsupervised).Understanding of Large Language Models, Generative … projects.Experience of exercising software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection.Experience in using cloud environment (e.g. Azure, AWS).Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.Experience using Excel, SQL, Power BI, Tableau.Experience using Docker and Kubernetes.Experience working ...

orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills … open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation and continuous improvement Passion for mentoring and developing others Employer Description JPMorganChase ...

Full-stack engineering expertise — proven background with modern enterprise technology stacks, including React, Java, and/or Python in production environments, deployed across AWS and/or Azure A bias for experimentation and innovation — a demonstrable history of pushing technical boundaries, challenging inherited assumptions, and driving teams toward approaches that … will shape how you lead, what you build, and the kind of talent you attract Deep cloud-native expertise — hands-on mastery of AWS and/or Azure, Docker, Kubernetes/EKS, microservices architecture, and sophisticated CI/CD and deployment pipelines for large-scale application delivery Generative ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred.Kubernetes: CKA or CKAD — preferred.TOGAF 9/10 or equivalent enterprise architecture certification … fundamentals: model security, prompt-injection defenses, supply chain security for open-source/open-weight models.Solutions-architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services.Ability to design for hybrid on-premises/cloud AI deployments, including data residency and sovereignty ...

experience in data engineering, ETL/ELT development, cloud-based data solutions, or data products for analytics, automation, or machine learning Deep expertise in AWS services, including S3, Lambda, Glue, and Snowflake Experience designing scalable and cost-efficient data architectures Proficiency in Python, including modularization and production-ready code … workflow orchestration Expert-level SQL skills, including query optimization, performance tuning, stored procedures, and database design Experience designing and implementing scalable data pipelines with AWS Glue, Step Functions, and SQL-based transformations Strong knowledge of data modeling, data warehousing, schema design, and partitioning strategies Hands-on experience with Tableau ...

Work with relational databases such as PostgreSQL and Oracle to ensure reliable and efficient data operations. Manage service deployment on Kubernetes, with integrations into AWS, GCP, or Azure. Monitoring & Debugging. Write clean, maintainable code with strong unit and integration test coverage. Conduct peer reviews. Produce clear documentation for APIs, architecture … microservices architecture and API design. Proficiency in SQL and experience with relational databases (PostgreSQL, Oracle). Familiarity with Kubernetes, Docker, and cloud environments (AWS, GCP, Azure). Experience with monitoring tools (e.g., Prometheus, Grafana, ELK, or similar). Strong communication and collaboration skills. We Offer: Experience a dynamic and team ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent … model security, prompt-injection defenses, supply chain security for open-source/open-weight models. Solutions-architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services. Ability to design for hybrid on-premises/cloud AI deployments, including data residency ...

design and optimisation.* Proficiency in WPF application development.* Hands-on experience with event-driven and asynchronous messaging architectures.* Experience working with cloud platforms (preferably AWS), including deployment and management of cloud-based services.* Strong understanding of CI/CD pipelines, version control (GitHub/GitLab), and package management.* Working knowledge … understanding of financial markets.* Knowledge of the FIX protocol and experience managing FIX connectivity.* Exposure to Java and/or JavaScript.* Deeper expertise in AWS services, including serverless architectures and microservices.* Experience with TDD, BDD, or similar engineering practices for defining and validating requirements.**Band & Level*** Manager/6#NIJobs #LI ...

maintain AI-powered solutions, including LLM-based document processing, intelligent extraction pipelines and agentic workflows.Build and deploy scalable web applications and microservices on AWS using Python, following cloud security best practices.Drive AI and machine learning research and development by evaluating new models, tools and technologies, creating prototypes and recommending adoption … opportunities.Develop and optimise prompt engineering solutions for production AI applications.Manage and enhance AWS cloud infrastructure, including ECS, Lambda, S3 and CI/CD pipelines.Integrate AI capabilities into existing Financial IT applications, identifying opportunities to automate processes and improve efficiency.Collaborate with global stakeholders to assess new development requests and deliver innovative ...

engineering, infrastructure, platform engineering, systems administration, DevOps, or related technical rolesCloud Technologies: Practical experience working with at least one major cloud platform, such as AWS, Azure, Oracle Cloud Infrastructure (OCI), or Google Cloud Platform (GCP). Prior OCI experience is beneficial but not essential, as training will be providedInfrastructure & Networking ...

Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsIndustry-recognised cloud/GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)Experience within financial services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ...

communication and stakeholder engagement skills, including presenting complex technical concepts clearly. Experience working with multidisciplinary agile delivery teams. Desirable Skills Experience with Azure or AWS‐hosted services. Experience with Kubernetes, Docker or containerised service delivery. Knowledge of PostgreSQL or other relational databases. Experience with Kafka, Azure Service Bus or similar ...

across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Essential requirements … integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud‐native (AWS/GCP/Azure) and DevOps/DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering ...