2,251 to 2,275 of 9,628 AWS Jobs

systems — including multi-agent orchestration, LLM integration, and data pipelines (LangChain, LangSmith, vector databases). Drive continuous improvement in CI/CD, cloud infrastructure, and deployment processes (Docker, Kubernetes, AWS). Mentor engineers, recruit top talent, and help shape a strong engineering culture built on accountability and innovation. Requirements Proven experience leading and scaling engineering teams within start-ups or … . Strong background in AI systems, cloud-native architectures, and modern ML tooling (LangChain, OpenAI API, vector stores, RAG pipelines). Experience designing distributed, high-availability platforms deployed on AWS or similar cloud environments. Excellent communication and stakeholder management skills, with the ability to translate technical direction into business outcomes. Previous exposure to the property, SaaS, or workflow automation space More ❯

teams to build robust CI/CD pipelines, ensure cloud governance, and maintain a culture of automation and excellence. Key Responsibilities Design, implement, and manage secure, scalable cloud infrastructure (AWS). Partner with development teams to define and implement infrastructure requirements. Build and maintain CI/CD pipelines to automate build, test, and deployment processes. Implement security best practices and … of industry trends, evaluating and implementing new DevOps tools and techniques. What You'll Bring Proven experience in DevOps or a similar engineering role. Proven experience deploying and managing AWS infrastructure (EC2, S3, RDS, Lambda, Glue, EMR, VPC, IAM, Redshift, etc.). Strong background in Terraform for infrastructure as code. Expertise in CI/CD automation using GitHub Actions. Hands More ❯

systems — including multi-agent orchestration, LLM integration, and data pipelines (LangChain, LangSmith, vector databases). Drive continuous improvement in CI/CD, cloud infrastructure, and deployment processes (Docker, Kubernetes, AWS). Mentor engineers, recruit top talent, and help shape a strong engineering culture built on accountability and innovation. Requirements Proven experience leading and scaling engineering teams within start-ups or … . Strong background in AI systems, cloud-native architectures, and modern ML tooling (LangChain, OpenAI API, vector stores, RAG pipelines). Experience designing distributed, high-availability platforms deployed on AWS or similar cloud environments. Excellent communication and stakeholder management skills, with the ability to translate technical direction into business outcomes. Previous exposure to the property, SaaS, or workflow automation space More ❯

world leader and the agility of a fast-moving data tech team. 👩 💻 What you’ll be doing: Leading the design, development, and maintenance of data pipelines and infrastructure across AWS and Azure. Building and evolving systems that detect and prevent fraud and data anomalies in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified … teams to deliver reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or More ❯

world leader and the agility of a fast-moving data tech team. 👩 💻 What you’ll be doing: Leading the design, development, and maintenance of data pipelines and infrastructure across AWS and Azure. Building and evolving systems that detect and prevent fraud and data anomalies in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified … teams to deliver reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or More ❯

systems — including multi-agent orchestration, LLM integration, and data pipelines (LangChain, LangSmith, vector databases). Drive continuous improvement in CI/CD, cloud infrastructure, and deployment processes (Docker, Kubernetes, AWS). Mentor engineers, recruit top talent, and help shape a strong engineering culture built on accountability and innovation. Requirements Proven experience leading and scaling engineering teams within start-ups or … . Strong background in AI systems, cloud-native architectures, and modern ML tooling (LangChain, OpenAI API, vector stores, RAG pipelines). Experience designing distributed, high-availability platforms deployed on AWS or similar cloud environments. Excellent communication and stakeholder management skills, with the ability to translate technical direction into business outcomes. Previous exposure to the property, SaaS, or workflow automation space More ❯

and infrastructure planning for global scalability. Embed platform reliability, service quality, and performance metrics at the heart of engineering execution. Oversee a scalable, secure multi-tenant SaaS architecture on AWS; drive standards, patterns, and guardrails, including Android & applications Lead an effective blended development model with clear SOWs, SLAs, quality gates, secure access, and code ownership. Manage engineering/infrastructure budgets … blending in-house and partner teams without loss of quality or security. Experience leading ISO standard and GDPR compliance programmes. Deep expertise in providing strategic oversight and guidance for AWS cloud architecture (including EKS/ECS, serverless, RDS/Aurora, DynamoDB, S3, CloudFront, ALB/NLB, SNS/SQS/Kinesis, KMS/Secrets), infrastructure as code (Terraform, CloudFormation, CDK … Product, Sales, Customer Success, and external customers: evidence of constructive trade-offs with a CPO/Product leaders; clear communication to execs/Board Knowledge Cloud-native SaaS on AWS, distributed systems, data consistency & resiliency; identity and access patterns. Telecoms/device ecosystem and integrations (operators, OEMs), enterprise security and compliance expectations. Cost optimisation and unit economics for cloud platforms. More ❯

and infrastructure planning for global scalability. Embed platform reliability, service quality, and performance metrics at the heart of engineering execution. Oversee a scalable, secure multi-tenant SaaS architecture on AWS; drive standards, patterns, and guardrails, including Android & applications Lead an effective blended development model with clear SOWs, SLAs, quality gates, secure access, and code ownership. Manage engineering/infrastructure budgets … blending in-house and partner teams without loss of quality or security. Experience leading ISO standard and GDPR compliance programmes. Deep expertise in providing strategic oversight and guidance for AWS cloud architecture (including EKS/ECS, serverless, RDS/Aurora, DynamoDB, S3, CloudFront, ALB/NLB, SNS/SQS/Kinesis, KMS/Secrets), infrastructure as code (Terraform, CloudFormation, CDK … Product, Sales, Customer Success, and external customers: evidence of constructive trade-offs with a CPO/Product leaders; clear communication to execs/Board Knowledge Cloud-native SaaS on AWS, distributed systems, data consistency & resiliency; identity and access patterns. Telecoms/device ecosystem and integrations (operators, OEMs), enterprise security and compliance expectations. Cost optimisation and unit economics for cloud platforms. More ❯

world leader and the agility of a fast-moving data tech team. What you'll be doing: Leading the design, development, and maintenance of data pipelines and infrastructure across AWS and Azure. Building and evolving systems that detect and prevent fraud and data anomalies in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified … teams to deliver reliable, low-latency data for analytics and reporting. What we're looking for: 5+ years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or More ❯

world leader and the agility of a fast-moving data tech team. What you'll be doing: Leading the design, development, and maintenance of data pipelines and infrastructure across AWS and Azure. Building and evolving systems that detect and prevent fraud and data anomalies in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified … teams to deliver reliable, low-latency data for analytics and reporting. What we're looking for: 5+ years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or More ❯

world leader and the agility of a fast-moving data tech team. 👩 💻 What you’ll be doing: Leading the design, development, and maintenance of data pipelines and infrastructure across AWS and Azure. Building and evolving systems that detect and prevent fraud and data anomalies in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified … teams to deliver reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or More ❯

world leader and the agility of a fast-moving data tech team. 👩 💻 What you’ll be doing: Leading the design, development, and maintenance of data pipelines and infrastructure across AWS and Azure. Building and evolving systems that detect and prevent fraud and data anomalies in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified … teams to deliver reliable, low-latency data for analytics and reporting. 🎯 What we’re looking for: 5+ years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or More ❯

or the ELK stack. Strong ability to manage tasks proactively while adapting to shifting priorities. Proficiency in Linux server administration. Experience with technologies such as Apache NiFi, MinIO, and AWS S3. Skilled in managing and patching Java and Python applications. Familiarity with containerization tools like Docker or Podman and deployment platforms such as Kubernetes or OpenShift To be Considered: Please … with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. SENIOR SUPPORT ENGINEER KEY SKILLS: SUPPORT ENGINEER/LINUX/UNIX/AWS/DOCKER/KUBERNETES/PYTHON/ANSIBLE/JAVA/ELK/APACHE/SPLUNK/APACHE NIFI/DV CLEARED/DV CLEARANCE/DEVELOPED VETTING/DEVELOPED More ❯

or the ELK stack. Strong ability to manage tasks proactively while adapting to shifting priorities. Proficiency in Linux server administration. Experience with technologies such as Apache NiFi, MinIO, and AWS S3. Skilled in managing and patching Java and Python applications. Familiarity with containerization tools like Docker or Podman and deployment platforms such as Kubernetes or OpenShift To be Considered: Please … with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. SENIOR SUPPORT ENGINEER KEY SKILLS: SUPPORT ENGINEER/LINUX/UNIX/AWS/DOCKER/KUBERNETES/PYTHON/ANSIBLE/JAVA/ELK/APACHE/SPLUNK/APACHE NIFI/DV CLEARED/DV CLEARANCE/DEVELOPED VETTING/DEVELOPED More ❯

sales, to make sure what you’re building meets everyone’s needs. Maintain and optimise existing systems to improve performance, scalability, and security. Get involved in DevOps tasks using AWS, such as: Monitoring and responding to infrastructure issues Managing deployments and environments Finding ways to improve performance and reduce costs Take part in code reviews to keep our standards high … documentation, and version control. The ability to work independently and collaborate effectively in a team environment Bonus Points For Experience using Git or another version control system. Familiarity with AWS, Azure, or Google Cloud. Experience with relational and non-relational databases such as MySQL, PostgreSQL, or MongoDB. Exposure to CI/CD pipelines and DevOps practices. Knowledge of UI/ More ❯

Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong More ❯

Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong More ❯

Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong More ❯

sales, to make sure what you’re building meets everyone’s needs. Maintain and optimise existing systems to improve performance, scalability, and security. Get involved in DevOps tasks using AWS, such as: Monitoring and responding to infrastructure issues Managing deployments and environments Finding ways to improve performance and reduce costs Take part in code reviews to keep our standards high … documentation, and version control. The ability to work independently and collaborate effectively in a team environment Bonus Points For Experience using Git or another version control system. Familiarity with AWS, Azure, or Google Cloud. Experience with relational and non-relational databases such as MySQL, PostgreSQL, or MongoDB. Exposure to CI/CD pipelines and DevOps practices. Knowledge of UI/ More ❯

sales, to make sure what you're building meets everyone's needs. Maintain and optimise existing systems to improve performance, scalability, and security. Get involved in DevOps tasks using AWS, such as: Monitoring and responding to infrastructure issues Managing deployments and environments Finding ways to improve performance and reduce costs Take part in code reviews to keep our standards high … documentation, and version control. The ability to work independently and collaborate effectively in a team environment Bonus Points For Experience using Git or another version control system. Familiarity with AWS, Azure, or Google Cloud. Experience with relational and non-relational databases such as MySQL, PostgreSQL, or MongoDB. Exposure to CI/CD pipelines and DevOps practices. Knowledge of UI/ More ❯

assist with the continued growth and increase in work! Full Stack Developer required skills: C# .NET Core React or Angular JavaScript/TypeScript SQL API’s CI/CD AWS or Azure Full Stack ‘nice to haves’: Experience with start ups You must be UK based & have full right to work in the UK. If this role sparks an interest More ❯

with a heavy focus on cloud network engineering. Implement and manage containerisation solutions using Docker and Compose. Ensure system security through best practices and proactive measures. Design and manage AWS infrastructure, including an understanding of AWS datacentres and network architecture. Development and Automation Develop and maintain automation scripts and tools to streamline system management tasks. Collaborate with the development team More ❯

practice to the team. Key Responsibilities of the Lead Infrastructure Engineer: Define and maintain TwinStream's corporate IT strategy with senior leadership. Own and manage the IT estate—from AWS/M365 accounts to mobile devices and laptops. Provide technical leadership, mentoring, and guidance to the IT team. Work with our Service Manager to continuously improve IT capabilities as an … change delivery. What You'll Bring Essential Skills & Experience: Microsoft 365 administration (Teams, SharePoint, Office apps, Power Automate). Microsoft Entra ID (identity, access, application integrations, endpoint security). AWS & Azure configuration (networking, DNS, security monitoring). Infrastructure as Code (Terraform, Microsoft365DSC). Backup & Disaster Recovery planning and execution. SaaS deployment and integration. Strong stakeholder engagement and communication skills. Nice More ❯

functional teams to turn business needs into scalable solutions. Apply MLOps best practices such as CI/CD, versioning, testing, and automation. Deploy models on cloud platforms like Azure, AWS, or GCP. Work with tools like MLflow, Airflow, Docker, Kubernetes, and Spark. Stay up to date with the latest techniques, including Generative AI, and explore their application. Guide clients in … engineering, data science, or similar roles. A degree in Computer Science, AI, Data Science, or a related technical field. Strong coding skills in Python. Experience with cloud environments (Azure, AWS, or GCP). Solid understanding of statistics and machine learning fundamentals. Experience building and deploying production-grade ML systems. Familiarity with Docker, CI/CD pipelines, infrastructure-as-code, and More ❯

stack and be proactive in learning new technologies. You will have a learning and development budget to support this. Python, Java, TypeScript, JavaScript React, Angular, React Kubernetes (k8s) Docker AWS, Azure Elasticsearch, MERN, Neo4J Cypress, Robot, Cucumber Benefits Excellent company benefits including significant pension contributions, BUPA, equity and training allowance. More ❯