101 to 125 of 10,714 AWS Jobs

usage and direct SQL optimization Strong automated testing experience using frameworks such as Vitest and Playwright Experience building and deploying cloud-native applications in AWS or Azure Prior experience with containerization and orchestration technologies such as Docker and Kubernetes Experience with CI/CD pipelines and modern software delivery practices … high-throughput systems such as image processing or streaming platforms Understanding of event-driven architectures and messaging systems such as RabbitMQ, Kafka, or AWS SQS Experience with caching strategies, load balancing, API gateways, and performance optimization techniques Knowledge of database optimization strategies including indexing, partitioning, and connection pooling Experience with ...

into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks ...

into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks ...

classified environments (DoD, Intelligence Community, etc.). Experience deploying and managing applications in OpenShift on premises or in secure cloud environments (e.g., AWS GovCloud, Azure Government). Familiarity with STIGs, NIST 800-53, RMF, or other compliance frameworks. Background with messaging systems (e.g., Kafka, RabbitMQ), GraphQL, or gRPC. Experience with ...

mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams. Experience with AWS and Databricks is highly desired. Responsibilities Design, develop, test, and support cloud-based data engineering capabilities. Build, maintain, and troubleshoot ETL pipelines and data workflows. … work collaboratively within engineering teams and adapt to evolving technical requirements. Ability to support secure or mission-oriented environments. Desired Qualifications Experience with AWS cloud services. Experience with Databricks or comparable cloud data platforms. Experience with Python, SQL, Spark, Java, or similar data engineering technologies. Experience with GitLab, GitLab ...

mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams. Experience with AWS and Databricks is highly desired. Responsibilities Design, develop, test, and support cloud-based data engineering capabilities. Build, maintain, and troubleshoot ETL pipelines and data workflows. … work collaboratively within engineering teams and adapt to evolving technical requirements. Ability to support secure or mission-oriented environments. Desired Qualifications Experience with AWS cloud services. Experience with Databricks or comparable cloud data platforms. Experience with Python, SQL, Spark, Java, or similar data engineering technologies. Experience with GitLab, GitLab ...

mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams. Experience with AWS and Databricks is highly desired. Responsibilities Design, develop, test, and support cloud-based data engineering capabilities. Build, maintain, and troubleshoot ETL pipelines and data workflows. … work collaboratively within engineering teams and adapt to evolving technical requirements. Ability to support secure or mission-oriented environments. Desired Qualifications Experience with AWS cloud services. Experience with Databricks or comparable cloud data platforms. Experience with Python, SQL, Spark, Java, or similar data engineering technologies. Experience with GitLab, GitLab ...

mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams. Experience with AWS and Databricks is highly desired. Responsibilities Design, develop, test, and support cloud-based data engineering capabilities. Build, maintain, and troubleshoot ETL pipelines and data workflows. … work collaboratively within engineering teams and adapt to evolving technical requirements. Ability to support secure or mission-oriented environments. Desired Qualifications Experience with AWS cloud services. Experience with Databricks or comparable cloud data platforms. Experience with Python, SQL, Spark, Java, or similar data engineering technologies. Experience with GitLab, GitLab ...

mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams. Experience with AWS and Databricks is highly desired. Responsibilities Design, develop, test, and support cloud-based data engineering capabilities. Build, maintain, and troubleshoot ETL pipelines and data workflows. … work collaboratively within engineering teams and adapt to evolving technical requirements. Ability to support secure or mission-oriented environments. Desired Qualifications Experience with AWS cloud services. Experience with Databricks or comparable cloud data platforms. Experience with Python, SQL, Spark, Java, or similar data engineering technologies. Experience with GitLab, GitLab ...

define and execute scalable, secure, and cost-effective network and cloud strategies. The role encompasses oversight of migration activities to public cloud platforms (AWS, Azure, Google Cloud), integration with private cloud and on-premises environments, and the establishment of architecture standards and frameworks. Key Responsibilities Define and maintain enterprise architecture … network and cloud solutions. Essential Skills Proven experience architecting and leading large-scale network and cloud transformation initiatives. Deep expertise in public cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud architectures. Strong background in enterprise network design, including routing, switching, security, and automation. Ability to establish and enforce design ...

will define engineering standards, mentor engineers, and ensure the platform scales securely and reliably. You will work across Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases to deliver performant, resilient solutions aligned with business objectives. We can facilitate w2 and corp … benefits, 401k with company matching, and life insurance. Rate: $65.00 to $75.00/hr. w2 Responsibilities: Deliver large-scale cloud-native data platforms on AWS leveraging REST APIs, microservices, and event-driven applications to build scalable and resilient systems. Work hands-on across the stack including Java, Python, Spark, TypeScript ...

will define engineering standards, mentor engineers, and ensure the platform scales securely and reliably. You will work across Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases to deliver performant, resilient solutions aligned with business objectives. We can facilitate w2 and corp … benefits, 401k with company matching, and life insurance. Rate: $65.00 to $75.00/hr. w2 Responsibilities: Deliver large-scale cloud-native data platforms on AWS leveraging REST APIs, microservices, and event-driven applications to build scalable and resilient systems. Work hands-on across the stack including Java, Python, Spark, TypeScript ...

that enable data-driven, omnichannel marketing. You will define engineering standards, set technical direction, and build secure, reliable systems across Java, Python, Spark, Angular, AWS, and event-driven architectures. You will collaborate with cross-functional stakeholders, own the software development lifecycle, and mentor engineers to ensure scalable, observable, and cost … with company matching, and life insurance. Rate: $75.00 to $65.00/hr. w2 JN -42 Responsibilities: Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven applications for scalable and resilient systems. Work across the stack with Java, Python, Spark, TypeScript, JavaScript, Angular, AWS ...

benefits, 401k with company matching, and life insurance. Rate: $80.00 to $85.00/hr. w2 Responsibilities: Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven applications to achieve scalability and resilience. Work hands-on across Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services … object-oriented and functional patterns. PySpark and Apache Spark for high-performance distributed data processing. Microservices development with Kubernetes for eventing and serving. AWS services including S3, Lambda, API Gateway, and EventBridge. Messaging and event-driven technologies such as Kafka, SNS, and SQS, and databases including PostgreSQL, SQL Server, Aurora ...

capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable business value Defining enterprise data and AI strategies, governance frameworks … deliver transformational outcomes Supporting business development activities, proposals and thought leadership initiatives To be successful, you will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/ ...

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 ...

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 ...

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 ...

support analytics, operational workloads, AI and emerging use cases. You may work with technologies and architectural approaches including, but not limited to: 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 ...

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 ...