1,376 to 1,400 of 5,509 Permanent AWS Jobs

and mentoring. Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful More ❯

approach. Your ability to communicate clearly, adapt to change, and offer technical guidance will help shape both our products and our team's growth. Experience with cloud infrastructure (Azure, AWS or similar), SQL databases, and Linux or OS-X command line will be highly valued. If you're ready to make an impact, keep up with industry trends, and contribute More ❯

at scale. Operate and optimise timeseries databases (KDB, OneTick) to efficiently store, query, and manage granular datasets. Architect cloud-native solutions for scalable compute, storage, and data processing, leveraging AWS, GCP, or Azure. Develop and maintain Parquet-based data layers; contribute to evolving the data lake architecture and metadata management. Implement dataset versioning and management using Apache Iceberg. Collaborate closely More ❯

at scale. Operate and optimise timeseries databases (KDB, OneTick) to efficiently store, query, and manage granular datasets. Architect cloud-native solutions for scalable compute, storage, and data processing, leveraging AWS, GCP, or Azure. Develop and maintain Parquet-based data layers; contribute to evolving the data lake architecture and metadata management. Implement dataset versioning and management using Apache Iceberg. Collaborate closely More ❯

. Experience building and maintaining RESTful APIs and integrating third-party systems. Understanding of data processing pipelines and data interoperability (JSON, CSV, SQL). Familiarity with cloud environments (e.g., AWS). Strong problem-solving skills, with the ability to work independently and as part of a multi-partner project team. Excellent communication and documentation skills. Desirable Skills Experience with AI More ❯

ServiceNow implementation experience (ITSM as a minimum) Broad experience across enterprise technology design and implementation Deep platform capability including integrations, APIs, Java/JavaScript, infrastructure Architect-level cloud knowledge (AWS/Azure/GCP) ITIL V4 certification Strong communication, leadership and stakeholder engagement Active or previous SC Clearance and UK citizenship To apply for this role as ServiceNow Principal Architect More ❯

ServiceNow implementation experience (ITSM as a minimum) Broad experience across enterprise technology design and implementation Deep platform capability including integrations, APIs, Java/JavaScript, infrastructure Architect-level cloud knowledge (AWS/Azure/GCP) ITIL V4 certification Strong communication, leadership and stakeholder engagement Active or previous SC Clearance and UK citizenship To apply for this role as ServiceNow Principal Architect More ❯

/ML pipelines on HPC (CUDA hardening, PyTorch/TensorFlow). Quantum-resistant cryptography integration. Air-gapped/cross-domain HPC (data diodes, guarded transfers). Cloud-hybrid HPC (AWS HPC, Azure CycleCloud with gov-cloud sec). Publications or cleared patents in HPC security. NEXT STEPS If interested, please send your most recent CV to: so that we can More ❯

engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform More ❯

agile and DevOps principles to deliver high-quality applications and platforms. The tech stack includes Java, microservices, infrastructure-as-code, NoSQL databases, containerisation, JEE, Oracle, and cloud platforms like AWS and Azure. Please note that you MUST be eligible for SC clearance and be able and willing to be onsite in Shropshire 3 days per week. Your Role: Reviewing and More ❯

in machine learning, deep learning, data science, and algorithmic problem solving Proven experience in data engineering and ML engineering pipelines, and technologies as well as with cloud platforms (Azure, AWS or GCP), ideally across data & AI stacks Proficiency in Python and SQL; additional experience with other languages is a plus Experience working with tools and frameworks such as Spark, Kafka More ❯

in machine learning, deep learning, data science, and algorithmic problem solving Proven experience in data engineering and ML engineering pipelines, and technologies as well as with cloud platforms (Azure, AWS or GCP), ideally across data & AI stacks Proficiency in Python and SQL; additional experience with other languages is a plus Experience working with tools and frameworks such as Spark, Kafka More ❯

databases and similarity search systems. ● Graph databases (ArangoDB, Neo4j, Neptune) and property graph modelling. ● Data engineering: ETL pipelines, document processing, schema design for AI applications. ● Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker). ● Observability and monitoring for LLM applications (tracing, metrics, cost tracking). ● Secure coding practices for regulated industries and sensitive data handling. More ❯

monitoring, model drift. GenAI/LLMs: RAG, prompt engineering, LoRA fine-tuning, safety, evaluation. Tooling: Python, pandas/PySpark, MLflow, Weights and Biases, Docker, Kubernetes, Terraform, GitHub Actions. Cloud: AWS, GCP, Azure. Soft Skills: problem framing, stakeholder communication, technical writing. What you will bring: 3+ years building and deploying ML systems in production Strong Python and applied ML/DL More ❯

clustering, and practical experience with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. More ❯

clustering, and practical experience with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. More ❯

and implementing real-world AI/ML use cases. Proficiency in at least one AI-focused programming language (Python required; Java preferred Strong experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of machine learning frameworks (TensorFlow, PyTorch, scikit-learn Experience working with CI/CD platforms (Jenkins, GitHub, GitLab CI, Artifactory Hands-on experience with automated More ❯

TestNG, Appium, etc CI/CD Integration: Experience with Jenkins, GitLab CI, Azure DevOps, or similar platforms API Testing: Skills in Postman, REST Assured, SoapUI Cloud & Containerization: Understanding of AWS, Azure, Docker, Kubernetes for testing in cloud-native environments years. Why Choose Cognizant? It takes a lot to succeed in today's fast-paced market, and Cognizant Technology Solutions has More ❯

TestNG, Appium, etc CI/CD Integration: Experience with Jenkins, GitLab CI, Azure DevOps, or similar platforms API Testing: Skills in Postman, REST Assured, SoapUI Cloud & Containerization: Understanding of AWS, Azure, Docker, Kubernetes for testing in cloud-native environments years. Why Choose Cognizant? It takes a lot to succeed in today's fast-paced market, and Cognizant Technology Solutions has More ❯

TestNG, Appium, etc CI/CD Integration: Experience with Jenkins, GitLab CI, Azure DevOps, or similar platforms API Testing: Skills in Postman, REST Assured, SoapUI Cloud & Containerization: Understanding of AWS, Azure, Docker, Kubernetes for testing in cloud-native environments years. Why Choose Cognizant? It takes a lot to succeed in today's fast-paced market, and Cognizant Technology Solutions has More ❯

queues (celery, AMQP). o CI/CD and pipelines. o Cloud infrastructure and deployment o Unit and integration testing (Pytest). Cloud, infrastructure and deployment Foundational understanding of AWS, Azure or GCP , with an awareness of deploying and managing multi-tenant infrastructure. Ability to contribute ideas for architectural optimisation , improving scalability and robustness with support from the DevOps team. More ❯

languages Strong knowledge of Linux systems, networking and cloud logging architectures Proven ability to manage upgrades, migrations and high-availability deployments Experience in securing hybrid cloud environments, including Azure, AWS or GCP Strong scripting skills in Bash and Python (or equivalent), with experience in automation and operational tooling Proficiency in Linux system administration, including troubleshooting, performance tuning and security hardening More ❯

of data compliance, security requirements, and environment governance. Ability to lead cross-functional teams, manage competing priorities, and influence stakeholders at all levels. Hands-on experience with cloud platforms (AWS/Azure/GCP), containerisation, or virtualised infrastructure is highly desirable. Typically a Bachelor's degree; or a Master's degree; or a PhD; or equivalent experience. In-depth expertise More ❯

risk management, including cybersecurity risk management (essential) Excellent problem-solving skills and attention to detail (essential) Strong communication and collaboration skills (essential) Proven experience with cloud platforms such as AWS, Azure, or Google Cloud and IoMT solutions (desirable) Knowledge of medical device software lifecycle processes (desirable) Familiarity in programming languages such as Python, Java, C# or C/C++ (desirable More ❯

s 'learning for life' mindset, 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 Management or, Cybersecurity qualifications and much more. You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid More ❯