2,476 to 2,500 of 8,701 AWS Jobs

in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder management skills Demonstrated ability to translate More ❯

in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder management skills Demonstrated ability to translate More ❯

/programmes delivery, as well as operations/support in the team Demonstrated ability to deliver with exceptional engineering practices, having hands-on experience with: - JVM languages, Kubernetes, Docker, AWS, relational databases, Kafka. - Coding standards, TDD, BDD. - CI/CD with automated testing and deployments. - Microservices architecture with tooling for high availability and reliability. - Delivery and operations focusing on scale More ❯

multifactor authentication and single sign-on. Key Responsibilities: Cloud Identity & Access Management: Lead and manage the design, implementation, andongoing optimization of cloud-based identity solutions, including Azure Active Directory, AWS IAM, and other cloud IAM services. Identity Federation & Single Sign-On: Configure and manage identity federation (SAML, OAuth, OpenID) and Single Sign-On (SSO) integrations across multiple cloud applications and … Microsoft Active Directory. Experience with Privileged Identity Management, MFA, and Conditional Access Policies. Working knowledge of all aspects of DNS. Knowledge of scripting and automation tools (PowerShell, Azure CLI, AWS CLI, Python, etc.) to automate tasks and streamline processes. Proficiency in Infrastructure as Code (IaC) tools, preferably Terraform. Ability to troubleshoot complex identity-related issues in cloud environments and implement More ❯

across diverse teams and stakeholders. Essential criteria: Experience in designing and implementing cloud-based solutions, preferably in a government or public sector environment. Proficient in cloud platforms such as AWS, Azure, or Google Cloud Platform. Strong understanding of cloud architecture patterns, methodologies, and best practices. Experience with automation tools, containerisation, and DevOps practices. Knowledge of security practices and compliance requirements … problem-solving skills, with a focus on innovation and efficiency. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert). Desirable criteria: Knowledge of Automated Access Control Systems. Degree in Computer Science, Information Technology, or technical related field. Job Offer More ❯

Software Engineer Location: Slough, UK Overview We are seeking a talented Software Engineer to join a dynamic and collaborative development team based in Maidenhead. This is a mid-level position ideal for someone who thrives in a fast-paced, agile More ❯

to promote self-service. Take calculated risks, champion new ideas, and cultivate your craft. What You Bring 5+ years of applicable experience Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using managed languages such as Python, Go, C#, Java, or similar. Experience utilizing CI/CD platforms More ❯

stack applications Familiarity with microfrontends , scalable system architecture, and service decomposition Solid backend design experience (API development, caching, queuing, monitoring) CI/CD, Docker, Git, and cloud deployment experience (AWS, Azure, or GCP) Fluent in Dutch or French (spoken and written) ️ Must be EU-based and eligible to work in Belgium (no visa sponsorship offered) Role Details: Start : ASAP Duration More ❯

Job Description: • Traditional Infrastructure Engineers who would be supporting the program platform's over-arching design; primarily in the O/S, COTS stack, (O/S skills, repeatable infrastructure deployments). • This includes operating systems, server hardware, and configuration More ❯

devops, data and security of the platform. You will have the opportunity to use and develop skills across all of these areas including: Implementing robust, scalable cloud infrastructure on AWS, ensuring high availability, performance, and security. Designing and implementing API integrations with third parties to serve accurate data in a robust and timely manner Maintaining and improving the data platform … strong team environment with talented people. The key skills and aptitudes that would be useful for this role include: Experience in cloud and data engineering, with an understanding of AWS services and architecture. Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation. Proficiency in Python and ideally at least one programming language (e.g. RUST, Java, Go). More ❯

devops, data and security of the platform. You will have the opportunity to use and develop skills across all of these areas including: Implementing robust, scalable cloud infrastructure on AWS, ensuring high availability, performance, and security. Designing and implementing API integrations with third parties to serve accurate data in a robust and timely manner Maintaining and improving the data platform … strong team environment with talented people. The key skills and aptitudes that would be useful for this role include: Experience in cloud and data engineering, with an understanding of AWS services and architecture. Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation. Proficiency in Python and ideally at least one programming language (e.g. RUST, Java, Go). More ❯

necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration into the AWS cloud, leveraging and adopting the latest services available in that environment. Build and maintain a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring … 2+ years of ML engineering experience, focused on building modern ML infrastructure catering all stages of a model lifecycle, including development, deployment, management and monitoring. Hands-on experience with AWS Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation. Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable. Ability to develop across More ❯

Traditional Infrastructure Engineers who would be supporting the program platform's over-arching design; primarily in the O/S, COTS stack, (O/S skills, repeatable infrastructure deployments). This includes operating systems, server hardware, and configuration of private More ❯

Nest.js Mikro-ORM PostgreSQL Google Cloud Deployment Experience : Strong preference for candidates with hands-on experience deploying Next.js applications outside of Vercel-whether on custom Node.js servers, Docker containers, AWS, Google Cloud, or similar environments. While familiarity with our full stack is a plus, senior-level expertise with React and Next.js is non-negotiable, along with a strong desire to More ❯

user stories to incorporate new functionality into various software applications Develop and/or integrate with Infrastructure as Code DevOps tools to support cloud orchestration of software components Leverage AWS best practices to optimize code for cloud deployment with cost-conscious development and deployment strategies. Experience developing front end user interfaces using modern JavaScript frameworks like React.js, HTML, CSS, etc. More ❯

at scale Are familiar with the ML development lifecycle and have a broad understanding of data extraction, feature engineering, modelling and evaluation techniques. Have experience with Cloud infrastructure (ideally AWS), DevOps technologies such as Docker or Terraform and CI/CD processes and tools. Have previously worked with MLOps tools like MLFlow and Airflow, or on common problems such as … have Experience deploying LLMs and agent-based systems Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, ECR, Athena, etc. MLOps: Terraform, Docker, Spacelift, Airflow, MLFlow Monitoring: New Relic CI/CD: Jenkins, Github Actions More information: Enjoy fantastic perks like private healthcare More ❯

necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration into the AWS cloud, leveraging and adopting the latest services available in that environment. Build and maintain a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring … 2+ years of ML engineering experience, focused on building modern ML infrastructure catering all stages of a model lifecycle, including development, deployment, management and monitoring. Hands-on experience with AWS Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation. Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable. Ability to develop across More ❯

expertise in C# and Java, with a deep understanding of object-oriented principles and clean coding practices. Track record of building cloud-native applications on platforms like Azure or AWS using IaaS, PaaS, containers, and serverless technologies. Deep understanding of API architecture, system design, and scaling strategies for high-performance distributed systems. Experience designing for high availability, fault tolerance, and More ❯

expertise in C# and Java, with a deep understanding of object-oriented principles and clean coding practices. Track record of building cloud-native applications on platforms like Azure or AWS using IaaS, PaaS, containers, and serverless technologies. Deep understanding of API architecture, system design, and scaling strategies for high-performance distributed systems. Experience designing for high availability, fault tolerance, and More ❯

to promote self-service. Take calculated risks, champion new ideas, and cultivate your craft. What You Bring 5+ years of applicable experience Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using managed languages such as Python, Go, C#, Java, or similar. Experience utilizing CI/CD platforms More ❯

providing a clear vision for technical excellence and innovation in the data engineering strategy. Cloud: Optimise cloud-based data solutions, storage and processing systems, with hands-on experience in AWS and on-prem services. Technical Excellence: Lead the pursuit of technical excellence by championing best practices automatisations and optimisation, in coding, architecture, and performance. Foster a team culture focused on … minimum 2) Extensive Data Engineering and Data Analytics hands-on experience (coding/configuration/automation/monitoring/security/etc) FME Advanced Database and SQL skills Certifications AWS or FME certifications are a plus. Nice to have skills: Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks, etc. Join us and lead the charge in More ❯

dash-boarding for application security observability. Your Profile Key experience: Experience of working in Hashicorp vault is very important. Some experience of at least one major cloud provider (GCP, AWS, Azure). Experience of automated and manual AppSec testing practices and principles. Knowledge of common application and infrastructure security vulnerabilities and mitigations. Experience in configuring and operating security vulnerability tooling More ❯

including incident response, resolution, and post-mortem analysis. Proficiency in monitoring, alerting, and observability tools such as Prometheus, Grafana, ELK stack or Datadog. Experience with cloud platforms such as AWS, Azure, or GCP, including infrastructure as code tools like Terraform or CloudFormation. Strong scripting and automation skills, with proficiency in languages such as Python, Bash, or Go. Excellent communication and More ❯

a startup environment. Demonstrated experience developing and launching commercially successful software products (ideally B2B). Strong proficiency in Python, Java, or C/C++. Deep understanding of cloud services (AWS, Google Cloud). Extensive experience in designing scalable and robust software architectures. Strong knowledge of DevOps and CI/CD pipelines. Dynamic leadership style with a passion for coaching and More ❯

data pipelines (ETL/ELT), preferably with tools like Apache Airflow, dbt, Spark, or similar Proficiency in Python or similar scripting language for test automation Experience with cloud platforms (AWS, GCP, or Azure), especially in data-related services Familiarity with data warehousing concepts (e.g., Snowflake, BigQuery, Redshift) Strong understanding of data governance, data profiling, and quality metrics Excellent problem-solving More ❯