1,576 to 1,600 of 7,432 Permanent AWS Jobs

Snowpipe, Dynamic Tables, Streams, Tasks), dbt (including dbt Projects on Snowflake), Airflow, Azure Data Factory, Informatica, or similar.Hands-on experience with major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg ...

possess strong Python skills and solid experience in software engineering best practices. You bring hands‐on experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP), including architecture and security. You’ve worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale. ...

libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps ...

deliver better user experiences MongoDB (we still have legacy systems running on it) CI/CD and DevOps - Docker, build pipelines, automated testing AWS (or similar cloud platforms - GCP, Azure) Kubernetes ElasticSearch Real-time/WebSocket programming Key Responsibilities Contributing code and technical expertise across the full product suite Owning ...

libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps ...

libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps ...

includes working within regulated or operationally complex environments, particularly airlines, airports or other high‐availability industries, as well as experience with Kubernetes, Docker and AWS serverless technologies. What you’ll get Competitive base salary + up to 20% bonus Private medical insurance 25 days holiday + bank holidays Annual credit ...

expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You’ve extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage ...

relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON, and XML Experience with cloud platforms, particularly Azure or AWS Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using Power BI and Tableau ...

investigating and resolving complex issues. Strong written and verbal communication skills, particularly when explaining technical concepts to customers and non-technical stakeholders. Experience with AWS, Terraform and authentication or identity technologies such as Auth0, OAuth 2.0 or SAML would also be beneficial. Don’t worry if you don’t have ...

constructive, solution-oriented feedback. What You Will Bring Essential: Minimum of 5 years experience in software development. Extensive experience in C++, Java, experience with AWS cloud platform, particularly serverless architecture (Lambda, API Gateway), containerisation (ECS, ECR) and CDK. Proficient in Bitbucket and building CI/CD pipelines to automate testing ...

statistical methods and visualization tools Contribute to MLOps workflows for model training, evaluation, and deployment using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure) Integrate AI components with existing systems, requiring experience in Java, C++ and familiarity with Eclipse Work in Linux environments and handle command-line ...

systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record ...

needed Preferred Skills Data architecture and data governance best practices, ETLs, BI platform, data integration, data quality assessments, data migration strategies Cloud experience with AWS, Azure, IBM Cloud, Kubernetes/Docker DevOps tooling: CI/CD, Jenkins, Pipelines, Ansible/Chef/Puppet, Packer/Terraform Experience in containers using ...

expertise not mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider ( AWS, GCP, or Azure ) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

engines. Optimize processing engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance ...

PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure Familiarity with Generative AI (GenAI) and agentic systems is a strong plus Excellent time management skills to handle responsibilities in a complex ...

testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including statistical modelling and machine learning and of how clinical trial data is structured and used: endpoints ...

testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including statistical modelling and machine learning and of how clinical trial data is structured and used: endpoints ...

load testing tools. DevSecOps & Platform Fluency: Strong understanding of modern CI/CD systems (e.g., GitHub Actions), containerization (Docker, Kubernetes), and cloud-native architectures (AWS/GCP), enabling you to integrate test automation seamlessly into developer pipelines. Leadership & Soft Skills Inspiring Change Agent: Proven track record of driving cultural transformations ...

Nice to have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms. Experience integrating OpenAI or Anthropic APIs into customer tools. Open‐source contributions or experience supporting developer communities. ...

implementation partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data ...

contribute to production codebases. Awareness of common DevOps tools and practices (CI/CD, Docker). Awareness of cloud infrastructure and development (AWS, GCP etc.). Must be willing to commute to London 2 days per week. Experience working in, collaborating with, or having direct exposure to Kanban and/ ...

Our client is a leading global investment bank. JOB DESCRIPTION Out of the successful launch of our client in 2021, we're a new team, with a new mission. We're creating products that solve ...

Job Type Full Time Requirements Job Title: .NET and DevOps Software Engineer Job Summary: We are seeking a highly motivated and experienced .NET and DevOps Software Engineer to join our team. The successful candidate will ...