1,351 to 1,375 of 8,035 AWS Jobs

apply them practically to contribute to and solve real world problems with dynamic business units and functions. Key Skills & Experience Strong Cloud Engineering background (AWS, Azure, or GCP) Cloud Security expertise CI/CD pipelines and DevOps PowerShell, Bash, Python and/or Java Docker & Kubernetes SIEM tools, Security Controls … Cloud/Wiz Defend) Windows and Red Hat Linux Infrastructure as Code and automation Preferred Financial Services/regulated environment experience Relevant Cloud Certifications (AWS, Azure, GCP) CISSP certification If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. #J-18808-Ljbffr ...

solutions, including a personalized IBM Watson chatbot that delivers contextual responses based on authenticated user profiles and enterprise data. Implementing Generative AI solutions using AWS Bedrock and Knowledge Bases to automate Drupal content authoring, landing page generation, and knowledge-driven content creation. Integrating AI capabilities into Salesforce for lead scoring … customer insights, and product recommendation workflows. Leveraging Microsoft Copilot, GitHub Copilot, ChatGPT, AWS Bedrock, and Watson AI to improve development productivity, documentation, testing, and application modernization efforts. Supporting IBM Cloud and AWS environments, including infrastructure management, CI/CD pipelines, deployment automation, monitoring, scheduled jobs, storage management, and backup processes. ...

patterns that get adopted across engineering. Your work reaches customers through every journey at once. TECH STACK Backend: Node.js/TypeScript on AWS - serverless (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis) and containerised compute (ECS, ECR, EC2), with more of the latter as our core systems grow Frontend …/EXPERIENCE Proven experience as a senior backend or full-stack engineer building and running distributed systems in production Strong Node.js/TypeScript and AWS, across serverless and containerised workloads Infrastructure as code with Terraform; CI/CD as a habit A track record of raising engineering standards around ...

MLOps and LLMOps practices, including CI/CD, model monitoring, evaluation and governance. Deploy and optimise models using cloud-based AI services such as AWS Bedrock, Azure AI Foundry and other AWS, Azure or GCP services . Work with self-hosted inference and model-serving technologies where appropriate, including tools … evaluation and governance. Experience designing AI systems with a strong focus on security, responsible AI, ethical guardrails and compliance . Broad cloud experience across AWS, Azure and/or GCP , ideally including native Generative AI services. A strong software engineering mindset, with experience building scalable, reliable and maintainable production systems. ...

have on-prem Kubernetes/OpenShift exposure, Terraform IAC, Jenkins CI/CD, and strong observability with ELK, Splunk, and Grafana across Azure or AWS cloud platforms. #J-18808-Ljbffr ...

deliver software reliably, securely and at scale. The role will contribute to the design, build, automation and operation of a hybrid production platform across AWS and on‐premises environments, with a particular focus on the HashiCorp platform, including Nomad, Consul and Vault. The successful candidate will treat infrastructure as software … assessing the impact of maintenance and change activity across the wider platform. Primary Duties Design, build, automate and operate the production platform across AWS and on‐premises infrastructure. Own, maintain and evolve the HashiCorp platform, including Vault, Consul, Nomad and associated integrations. Use Terraform to define and manage infrastructure resources ...

tech lead. Strong system design & technical leadership Full-stack experience Key Technologies: Java/Spring Boot, React/TypeScript and React Native, Azure (AWS or GCP is fine), Kubernetes, Terraform & CI/CD APIs, microservices & event-driven architecture. Production ownership & modern engineering practices. Experience using AI - integrated into the SDLC. ...

products/features, influencing design decisions to manage risks and develop mitigation plans.**Cloud Architecture**: Design and build solutions on public cloud platforms like AWS or Azure, leveraging services for compute, storage, and networking.**Cross-functional collaboration**: Work closely with product management, design, quality, and manufacturing teams to ensure … Data Engineering, Analytics and ML.**Required Skills & Experience**10+ years in data engineering, data warehousing, analytics or similar roles.Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces).Experience leading and mentoring engineering teams, particularly distributed or remote teams.Strong proficiency in programming languages like PythonProven experience designing ...

integrate intelligence across our solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector. Guided by our core values … framework submissions. Drive innovation and thought leadership across Data & AI capabilities, offerings, and accelerators. Collaborate with strategic technology partners including Microsoft, Databricks, Snowflake, AWS, and Informatica. 15+ years' experience within Data & Analytics, Data Engineering, or Enterprise Data Architecture. Strong experience designing enterprise-scale cloud data platforms using Microsoft Fabric, Databricks ...

using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud … technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

principles and standards Helping clients to identify risks and mitigations for their complex data programmes, as well as transition to modern cloud‐based infrastructures (AWS, Azure, GCP) by leveraging related architecture patterns (e.g., APIs, events) Working independently with clients in key areas of data governance, such as in defining principles … architectures, data pipelines and solutions that are robust and scalable using modern delivery frameworks and tools (e.g. Databricks) Experience in using cloud technologies (Azure, AWS, GCP) as both infrastructure and as a service, as well as big data platforms either on‐premise or cloud setup Knowledge of different technology stacks ...

latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments. Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments. Collaborate with ML and product teams to bring cutting-edge GenAI models into … TypeScript , with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS. Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform. Experience managing data systems such as relational and NoSQL databases ...

design and operate end to end logging, metrics, tracing, dashboards to include alerting systems using ELK, Splunk, Grafana Cloud platforms to include: Azure or AWS If you are an SC Cleared DevOps Engineer with experience of supporting a critical infrastructure environment/blue light (defence, military, nuclear) understanding the importance ...

teams to deliver end-to-end features Contributing to technical design, code review, and engineering standards within the team Supporting cloud infrastructure decisions on AWS, Azure, or GCP as they relate to backend services What We're Looking For Strong, production-grade Node.js engineering - you write clean, testable, well-structured … Redis, or similar Comfortable working in a CI/CD environment with a strong DevOps culture Cloud experience on at least one major provider - AWS, Azure, or GCP A collaborative, ownership-oriented mindset - you see things through and communicate well Nice to Have Experience in the digital commerce or retail ...

secure payment workflows. Work with messaging standards and protocols commonly used in financial transactions. Deploy, monitor, and scale applications in Red Hat OpenShift and AWS cloud environments. Integrate with MongoDB and other NoSQL/SQL datastores for real‐time data management. Collaborate with DevOps, Product, and QA teams to ensure … millisecond response times a plus). Hands‐on experience deploying applications on Red Hat OpenShift and/or Kubernetes. Strong cloud experience with AWS services such as ECS, EKS, Lambda, S3, etc. Strong communication skills and a bias toward action and opinionated design decisions. Nice to Have: Familiarity with messaging ...

design and operate end to end logging, metrics, tracing, dashboards to include alerting systems using ELK, Splunk, Grafana Cloud platforms to include: Azure or AWS If you are an SC Cleared DevOps Engineer with experience of supporting a critical infrastructure environment/blue light (defence, military, nuclear) understanding the importance ...

correctness. This means owning infrastructure review, security validation, system observability, and operational guardrails. WHAT YOU'LL DO Design and operate cloud infrastructure on AWS to support low‐latency, always‐on real‐time workloads. Own infrastructure as code and platform architecture , ensuring secure, scalable and reproducible environments. Embed security and resilience … resolution of incidents. Enable safe, fast delivery through CI/CD and automation , partnering closely with engineering teams. Tech Stack Infrastructure as Code: Terraform, AWS CloudFormation, AWS CDK. Cloud: AWS (Lambda, API Gateway, S3, SQS, SNS, Aurora, VPC, IAM, CloudFront, WAF, and others as required). CI/CD: GitLab ...

patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

they are secure, scalable, and highly available. Lead design sessions, collaborating with Entrprise Architecture, and implementation of IAM integrations for SaaS, on‐prem, and AWS cloud platforms, including federation (SAML, OIDC, OAuth), MFA, and Passwordless capabilities. Serve as the primary escalation point for complex IAM engineering issues; perform root‐cause … decisioning, policy enforcement, and autonomous identity lifecycle operations. Develop and implement automated provisioning/deprovisioning workflows Ensure integration of IAM with cloud platforms (Azure, AWS, GCP) and SaaS applications. Mentor and develop the skills of senior security engineers, fostering a culture of continuous improvement and innovation. Technical Experience Must-Have ...

DevOps tools such as Git/Azure DevOps/Jenkins/Docker/Kubernetes Experience working with Cloud Service Providers (Azure/AWS/GCP) Preference will be given to those who have experience working in the counter fraud space Proficient written and verbal French communication skills would ...

Strong analytical and problem-solving skills Desirable Skills & Experience Experience with Apache Pig or similar data-processing technologies Experience with cloud platforms such as AWS, Azure or GCP Experience with Docker and/or Kubernetes Experience building and maintaining CI/CD pipelines Experience with monitoring, logging and observability platforms ...

FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions, familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms, knowledge of market data vendors, data mastering, golden-source design, curve construction ...

complex enterprise environments Strong software engineering background across modern front-end and back-end technologies Experience designing and implementing cloud-native architectures within Azure, AWS, or GCP Strong understanding of Generative AI, LLMs, AI orchestration frameworks, and enterprise AI integration patterns Experience leading multidisciplinary engineering teams through the full software ...

Doing: Developing backend services using Java (JDK 11+) & Spring Boot Building scalable microservices & REST APIs Working in Agile Scrum teams Supporting cloud deployments (AWS environments) Contributing to CI/CD and automated testing practices Collaborating with technical leads, testers and DevOps engineers What Theyre Looking For: 5+ years commercial Java … Strong Spring Boot knowledge Experience working in Agile environments Understanding of microservices architecture Passion for clean code and modern engineering practices Nice to Have: AWS or cloud exposure Docker/containers CI/CD tools (Jenkins, GitLab, SonarQube) TDD/automated testing exposure Security Clearance Requirement: Due to client project ...

develop your technical skills and progress your career. What youll be doing Design and build production-grade data pipelines and data solutions within AWS environments. Work across the full data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such … solution design and continuous improvement. What were looking for Experience designing and deploying production data pipelines within a big data environment. Strong experience with AWS cloud technologies and data engineering services. Hands-on experience with one or more of Python, Java, Scala, Spark and SQL. Experience working with large-scale ...