101 to 125 of 6,533 AWS Jobs

frameworks agents, RAG, prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation. Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud … scale, efficient data pipelines for complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition and design of the full SDLC (standards and tooling): development, test and deployment, using ...

frameworks into applications Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding of asynchronous programming, performance optimization, and scalable backend architectures Experience with unit testing, debugging, version ...

with generative AI tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability ...

Government and Defence. You will work within a multidisciplinary agile team to design, build, test and deploy cloud-based applications and services, primarily within AWS environments. What You'll Be Doing Design, develop and maintain high-quality software solutions. Build cloud-based applications and services within AWS. Develop solutions using … Strong development experience in Python and/or JavaScript. Experience with SQL and relational databases such as PostgreSQL. Experience developing applications and services within AWS environments. Experience designing, developing and integrating APIs. Good understanding of software engineering principles, testing and secure development practices. Experience using Git and platforms such ...

Government and Defence. You will work within a multidisciplinary agile team to design, build, test and deploy cloud-based applications and services, primarily within AWS environments. What You'll Be Doing Design, develop and maintain high-quality software solutions. Build cloud-based applications and services within AWS. Develop solutions using … Strong development experience in Python and/or JavaScript. Experience with SQL and relational databases such as PostgreSQL. Experience developing applications and services within AWS environments. Experience designing, developing and integrating APIs. Good understanding of software engineering principles, testing and secure development practices. Experience using Git and platforms such ...

service availability. Key Responsibilities: Design, deploy, and support scalable, resilient, and self-healing cloud infrastructure across Azure and hybrid cloud environments, with exposure to AWS considered beneficial. Define and manage infrastructure using Infrastructure as Code (IaC) tools including Terraform, Helm, CloudFormation, and Ansible. Build, maintain, and optimise CI/… programming experience. Experience working within Product Engineering, Software Engineering, or R&D environments. Experience supporting highly available, business-critical systems. Cloud certifications across Azure, AWS, DevOps, or Kubernetes technologies. How We Work: Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless ...

exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III DevOps/AWS Engineer at our client within the Commercial & Investment Bank, particularly in the Payments Technology, you serve as a seasoned member of an agile team to design … with tools such as Jules, Jenkins, and Spinnaker. Hands-on DevOps experience with Kubernetes and Docker, including deployment automation and containerized application development. Deep AWS platform experience across compute, storage, networking, security, provisioning, and automation. Hands-on with services including EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue ...

Multi-Cloud ConsultantLocation: United Kingdom- London In a nutshell, our client is looking for a Technical Subject Matter Expert in AWS or Azure who has relevant expert-level certification and is hands-on engineer in automation & FevOps with customer-facing skills. As a Multi-Cloud Consultant (Azure & AWS), you will … Azure DevOps, GitHub, CodePipeline, or CodeDeploy. Automation scripting in Python, PowerShell, or Bash. Experience delivering Agile projects at enterprise scale. Advanced-level Azure or AWS certifications. Confident communicator and presenter, curious, proactive, solution-focused, and professional in client interactions. Nice-to-Have:- Experience with GCP or other public clouds.- Knowledge ...

exchange capabilities. Our team owns multiple microservices spanning FX pricing, risk management, trade routing, market data integration, and treasury operations. Our stack runs on AWS as a set of distributed applications using Kubernetes and a microservice-led architecture. We are also utilizing Kafka for our streaming and PACT for Contract … forms the bulk of our codebase, currently in Java, versions 11+, and ideally Spring boot framework Highly-scalable, highly-available, cloud-native applications on AWS are key to our next phase of growth, are written to 12-factor principles and fit into our microservices architecture Cloud-related tools, services ...

bonuses, equity, benefits, or other incentives. Job Summary: The Senior Software Engineer is a senior technical contributor responsible for designing, developing, and maintaining complex, AWS-native software systems within their area of ownership. This role combines deep hands‐on software engineering expertise with strong cloud, data engineering, and AI capabilities. … Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI-Native Software Development Build production‐grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI‐first mindset to software development by incorporating AI‐assisted tools and automation into ...

708Skills: Data, AWS, Azure, GCP, Snowflake, Databricks, Synapse, DevOps, ETLSenior Data Manager90k - 120k per annum + Bonus and BenefitsLondon, Manchester or Glasgow/Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges … data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery ...

design the right data solutions for each challenge. With technologies spanning Python, SQL, cloud‐native data services, streaming platforms, and modern data tooling across AWS, Azure and GCP, you’ll have opportunities to deepen your expertise, explore new approaches, and grow your career. Role Responsibilities This is a varied role … Strong Python skills, with experience using Python to build, test, and operate data pipelines and services. Proficiency with at least one major cloud platform (AWS, Azure, or GCP), delivering scalable, secure, and well‐architected data solutions. Strong experience working with core data stores, including relational databases such as PostgreSQL ...

criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control systems, specifically Git or similar tools Demonstrated application … required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps ...

criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control systems, specifically Git or similar tools Demonstrated application … required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps ...

criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control systems, specifically Git or similar tools Demonstrated application … required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps ...

Kubernetes environments, automate delivery pipelines and implement Infrastructure as Code solutions across complex production systems. Essential Skills Linux administration (RHEL and/or Ubuntu) AWS including EC2, S3, RDS, IAM and VPC Kubernetes (EKS and/or RKE) Docker Helm Terraform Ansible Prometheus Grafana Kafka MongoDB MySQL PostgreSQL GitLab … Puppet Keycloak HashiCorp Vault Python Bash DevSecOps tooling and practices ITIL-based service management experience Responsibilities Design, deploy and support resilient cloud infrastructure across AWS, Azure and Kubernetes environments Build and maintain Infrastructure as Code solutions using Terraform and Puppet Develop and optimise CI/CD pipelines to automate testing ...

Lead major incident management, root cause analysis, problem management, and post‐incident review processes. Drive cloud modernization initiatives and support application migrations to Azure, AWS, and containerized environments. Champion automation and Infrastructure as Code (IaC) practices using tools such as Terraform, GitHub, GitLab, Jenkins, and Ansible. Develop and implement observability … managing technical engineering teams. Deep expertise in Site Reliability Engineering, DevOps, Cloud Engineering, or Platform Engineering disciplines. Extensive experience with Azure and/or AWS cloud platforms. Strong understanding of Kubernetes, AKS, EKS, containerization, Docker, and cloud‐native architectures. Expertise with Infrastructure as Code tools such as Terraform and Ansible. ...

based architectures using domain driven design (DDD). CQRS and Event Sourcing patterns • Kubernetes • Knowledge/Certification in Spring framework. • Experience in cloud technologies AWS/Azure/GCP You will be required to pass through Security Clearance if you are successful in this recruitment process, which is a condition … 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 reimagine what’s possible: creating value for the world’s leading organisations through technology to build ...

data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery … facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure ...

verbal communication skills Preferred Qualifications Experience supporting federal government or Department of Defense (DoD) environments Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform Experience with infrastructure-as-code tools such as Terraform, Ansible, or similar technologies Experience with containerization and orchestration technologies, including Docker … Security Technical Implementation Guides (STIGs), NIST frameworks, and cybersecurity best practices Experience supporting highly available and mission-critical hosting environments Microsoft, Red Hat, VMware, AWS, Azure, or related industry certifications Desired Technical Skills Windows Server 2016/2019/2022 Active Directory, Group Policy, DNS, DHCP PowerShell, Bash, Python VMware ...

GitLab , and the Atlassian Suite . Strong problem-solving skills with the ability to design and implement scalable technical solutions. Desirable Experience working within AWS, Azure, or other cloud-native environments. Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience supporting highly regulated industries such as Defence ...

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/ ...

paved road" security patterns, self-service tooling, and standardized integrations that reduce friction while maintaining strong security posture Drive cloud-native security architecture across AWS and Azure environments, implementing security controls for Kubernetes, containerized workloads, and infrastructure-as-code using modern security frameworks Evaluate and integrate best-of-breed security … regulated environments with strong hands-on experience securing CI/CD pipelines and modern application stacks Practical expertise with cloud platforms such as AWS, Azure, or Google Cloud, including containerization technologies (such as Docker, Kubernetes, or OpenShift) and infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi Strong understanding ...

designing and operating continuous integration and deployment pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins). Cloud & IaC: Strong proficiency with major cloud platforms (AWS, Azure, or GCP) alongside IaC tools like Terraform, Bicep, or Ansible. Scripting & Programming: Solid hands-on coding or scripting ability in Python, Go, Bash, JavaScript ...

Strong Python programming skills, including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g. ...