151 to 175 of 1,623 Remote/Hybrid AWS Jobs

mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Leadership & Cross‐Team Collaboration: Demonstrate ...

Strong Git/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering ...

programming languages (right tool for the job mentality) Work with databases (Postgres, MySQL, MongoDB) Work with (and learn around) cloud platforms such as AWS, GCP and/or azure Debug in a range of systems Work on your own self-development - we value keen learners Have a drive to deliver ...

building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices ...

. Expertise in resilience mechanisms and performance tuning to ensure system stability and efficiency at scale. Proficiency in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Strong leadership and cross‐team ...

What we're looking for Experience working with Iress Xplan Strong software engineering background Commercial experience with Java and/or Python Experience with AWS or Azure API and systems integration experience Strong understanding of software engineering best practices Experience within Wealth Management, Financial Planning or Financial Services Nice ...

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. Capgemini. Make it real. Why you should consider Capgemini Growing clients’ businesses while building a more sustainable ...

Kubernetes). In-depth knowledge of Linux operating systems, focusing on Debian and RHEL/CentOS. Cloud service providers such as Google Cloud Platform, AWS (knowledge of other platforms such as Azure would also be beneficial). Infrastructure as Code best practises (Terraform). Configuration Management (e.g. Ansible, Puppet, Packer ...

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 will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge ...

understanding of microservices architecture. Experience designing and building REST APIs. Commercial experience with Kafka or similar messaging technologies. Experience with PostgreSQL. Experience working with AWS cloud services. Hands-on experience with Docker and containerised applications. Strong understanding of software engineering best practices, testing and CI/CD. Excellent communication ...

engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance ...

their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here, we would expect you to contribute to our recruitment efforts and take on line management ...

Security GitHub Actions GitLab Jenkins Azure DevOps Security Automation Shift Left Security Security Testing SAST DAST SCA Vulnerability Management Penetration Testing Cloud Security AWS, Azure or GCP Kubernetes Docker Container Security Cloud Security Best Practices Security Tooling Experience with one or more of: Checkmarx Fortify SonarQube Veracode Semgrep Burp Suite ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge ...

training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML services in a cloud environment, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling. Fluency in our core tooling: Git, Unix/Linux, Docker ...

both leadership and hands‐on capacities Good stakeholder communicator and engagement Desirable Qualifications Microsoft certifications (e.g., Power Platform Solution Architect, Azure and or AWS Architect) Experience in public sector and other regulated industries Knowledge of data governance, security, and compliance frameworks Security Clearance Previous experience as an engineer would ...

knowledge of CI/CD, DevOps, and cloud‐native architectures Practical experience with Azure (Azure OpenAI, Azure AI Foundry, AI Search) and familiarity with AWS or GCP Proficiency with containerized deployment, MLOps tooling (MLFlow, Airflow), and infrastructure‐as‐code practices Bachelor’s or Master’s degree in Computer Science, Data ...

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 will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere ...

design and evolution of next-generation, self-optimising data and AI platforms that power both operational and analytical data workloads. Leveraging hyperscale cloud ecosystems (AWS, Azure, GCP), you will embed agentic AI capabilities, enabling systems that can reason, adapt, and act with minimal human intervention. We ENABLE intelligent cloud transformation ...

Preferred Skills Experience with performance testing tools (e.g., JMeter, LoadRunner) Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions) Familiarity with cloud environments (AWS, Azure, GCP) Understanding of security testing practices Strong attention to detail and communication skills ...

JMeter, LoadRunner, Gatling, or similar. \n Experience designing and analysing performance, load, stress, and volume tests. \n Strong knowledge of cloud platforms including Azure, AWS, or GCP. \n Experience with monitoring and observability tools such as Grafana, Splunk, New Relic, or Dynatrace. \n Scripting and automation skills using Python, JavaScript ...

within multidisciplinary teams Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence programmes Familiarity with secure software development within highly ...

quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production impact. The package includes: Competitive base salary Performance-based ...

/CD pipelines and DevOps practices Strong understanding of software engineering principles and best practices Experience working in Agile environments Desirable Experience Experience with AWS and/or Azure cloud platforms Familiarity with Spring Boot or modern Java frameworks Experience working on SaaS platforms Background in large-scale or regulated ...