151 to 175 of 17,280 AWS Jobs

Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. Right tool for the job. For us, DevOps is about culture rather than roles and titles. ...

clearance throughout employment. Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge ...

application architectures. Mastery of agile methodologies and their application across large, distributed teams. Enterprise-level expertise in Infrastructure as Code and public cloud architecture (AWS, Azure, or GCP). Strategy-level experience with CI/CD tools and automation at an organisational level. Desirable Experience Significant experience delivering high-profile ...

application architectures. Mastery of agile methodologies and their application across large, distributed teams. Enterprise-level expertise in Infrastructure as Code and public cloud architecture (AWS, Azure, or GCP). Strategy-level experience with CI/CD tools and automation at an organisational level. Desirable Experience Significant experience delivering high-profile ...

data-driven, omnichannel experiences. You will lead cross-functional initiatives, define engineering standards, mentor engineers, and ensure scalable, reliable, and secure platform growth across AWS and modern data ecosystems. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes … benefits, 401k with company matching, and life insurance. Rate: $80.00 to $70.00/hr. w2 Responsibilities: Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven architectures for highly scalable and resilient systems. Work hands-on across the stack with Java, Python, Spark, TypeScript ...

Spring Framework. Experience designing and building microservices and RESTful APIs. Exposure to Node.js, TypeScript, Express.js or similar frontend technologies. Experience working with AWS, Azure or GCP. Knowledge of Docker, Kubernetes and Infrastructure as Code using Terraform. Experience implementing CI/CD pipelines using Jenkins, Azure DevOps or similar. A proven ...

Spring Framework. Experience designing and building microservices and RESTful APIs. Exposure to Node.js, TypeScript, Express.js or similar frontend technologies. Experience working with AWS, Azure or GCP. Knowledge of Docker, Kubernetes and Infrastructure as Code using Terraform. Experience implementing CI/CD pipelines using Jenkins, Azure DevOps or similar. A proven ...

external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that … APIs and micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills and ability to thrive in fast‐paced environments. Excellent ...

expect to design and deliver scalable, secure and high‐performing data platforms that support analytics, operational workloads, AI and emerging use cases. Cloud platforms: AWS, Azure and GCP Modern data platforms: Databricks, Snowflake and cloud‐native data services Data architecture: Lakehouse, medallion, data mesh and domain‐oriented patterns Data processing ...

internal and external workflows.Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment.Build intuitive interfaces that enable teams … including RESTful APIs and micro-services design.Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI).Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).Proven problem-solving skills and ability to thrive in fast-paced environments.Excellent communication ...

external workflows. Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable teams … RESTful APIs and micro-services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI).Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).Proven problem-solving skills and ability to thrive in fast-paced environments. Excellent communication ...

Privacy Controls Enterprise Security Architecture Frameworks Familiarity with: NCSC Cloud Security Principles ISO 27001 NIST Cybersecurity Framework CIS Controls OWASP Technical Experience Cloud Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Security Technologies Microsoft Defender Suite Splunk Microsoft Sentinel CrowdStrike Prisma Cloud Wiz Lacework Tenable Qualys Infrastructure & DevOps Kubernetes Docker ...

Enterprise Data Architecture:You should have practical architecture experience across both established enterprise approaches and modern data patterns, including:Cloud-native data platforms (AWS, Azure, GCP).Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous).Data lake and lakehouse architectures.Event-driven and streaming architectures.Data Mesh and/ ...

Enterprise Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP).Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous).Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh ...

Prior consulting, pre-sales engineering, or client-facing experience Designing and scaling distributed systems, real-time or event-driven architectures Working with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes) Building and consuming RESTful APIs, GraphQL, or other service architectures Infrastructure as code (e.g. Terraform, Pulumi) or DevOps ...

advantageous for you to have knowledge of the following: You will have expert knowledge of C# Operation of Kubernetes Clusters Building cloud native applications (AWS) Front-end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Data Engineering skills Experience in building production grade software with Agentic ...

come together and celebrate working with the exceptional people across Appian. To be successful in this role, you need: Expertise in working with AWS or other cloud infrastructures like Azure or Google Cloud, and using Infrastructure-as-Code tools Expertise working in Kubernetes ecosystem (e.g. Cilium, Istio, Knative, Keda) Experience ...

complex systems, projects, or client engagements Architect scalable, fault-tolerant solutions that solve real business problems Work hands-on with modern cloud-native technologies - AWS, Azure, GCP, Kubernetes, container orchestration, and more Design and deliver APIs and service architectures that enable fast, stable delivery and long-term maintainability … setting direction, coaching others, and owning outcomes Deep experience building and operating distributed systems, microservices, or high-scale platforms Expertise in modern cloud environments - AWS, Azure, or GCP - and cloud-native design patterns Strong working knowledge of containerization, orchestration, and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub Actions, ArgoCD ...

outputs, ensuring correctness, safety, and alignment with user expectations Build and maintain RAG pipelines and LLM-powered data workflows Develop cloud-native solutions on AWS (Lambda, S3, ECS, SageMaker, Step Functions), architecting for LLM-specific constraints Translate user feedback and field insights into production direction, influencing what gets built based … safety constraints CI/CD and DevOps experience Strong experience with SQL databases (PostgreSQL, MySQL) and familiarity with NoSQL (MongoDB, DynamoDB, Redis) Proficiency in AWS and infrastructure-as-code (Terraform, CloudFormation) Solid understanding of microservices and containers (Docker, Kubernetes) Familiarity with HIPAA and/or financial data Deeply curious ...

outputs, ensuring correctness, safety, and alignment with user expectations Build and maintain RAG pipelines and LLM-powered data workflows Develop cloud-native solutions on AWS (Lambda, S3, ECS, SageMaker, Step Functions), architecting for LLM-specific constraints Translate user feedback and field insights into production direction, influencing what gets built based … safety constraints CI/CD and DevOps experience Strong experience with SQL databases (PostgreSQL, MySQL) and familiarity with NoSQL (MongoDB, DynamoDB, Redis) Proficiency in AWS and infrastructure-as-code (Terraform, CloudFormation) Solid understanding of microservices and containers (Docker, Kubernetes) Familiarity with HIPAA and/or financial data Deeply curious ...

Platforms is home to Data Engineers, Platform Engineers, DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise … 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 Manage Mentor, Cybersecurity qualifications and much more.**Why we’re different**At Capgemini, we help organisations across the world become more agile, more ...

evaluation, and validation. Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements. Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms. Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. Contribute to distributed computing and parallel processing … developing and deploying algorithms, mathematical models, or machine learning models in real-world applications. Strong programming skills in Python. Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes). Familiarity with software engineering best practices, including Git. Experience with ML frameworks such as TensorFlow, PyTorch ...

skills including some or all of the following:Proven experience in data engineering, data modelling, and architecture, preferably on a major cloud platform (Azure, AWS, or GCP).Strong experience designing and building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologiesProficiency writing ...

Lead the design, build and evolution of secure AWS cloud infrastructure and DevOps capabilities • Design and maintain scalable, secure and automated CI/CD pipelines using GitLab or GitHub • Own infrastructure-as-code approaches using Terraform • Define and promote engineering standards, patterns and best practices across delivery teams • Embed automation … deployment and operational workflows • Apply DevSecOps and security-by-design principles throughout the delivery lifecycle • Design, deploy and operate containerised workloads using Kubernetes and AWS services such as ECS and EKS • Work with architects and security specialists on cloud architecture, networking, identity, security and integration requirements • Implement monitoring, observability, logging ...

recruiting on behalf of our client for an experienced Senior AWS DevOps Engineer to take a leading role in the design, build and delivery of cloud infrastructure and automation. Our client works with organisations across public sector and other complex, regulated environments, designing, building and operating secure, resilient cloud environments. … This is a hands‐on senior engineering role, combining deep AWS and DevOps expertise with technical ownership, client engagement and the ability to guide other engineers and influence engineering practices. The Role As a Senior AWS DevOps Engineer, you’ll take technical ownership of cloud infrastructure, CI/CD, infrastructure ...