2,801 to 2,825 of 16,506 AWS Jobs

AI infrastructure, and establishing best-in-class MLOps and LLMOps practices. Key Responsibilities Design, build, deploy, and maintain scalable AI services and infrastructure using cloud-native tools (Azure and AWS preferred). Develop robust backend systems and APIs to support AI workflows and inference pipelines. Integrate with third-party LLM APIs and manage usage, rate limits, reliability, and cost efficiency. … chaining, and prompt engineering. Hands-on experience with MLOps tools like MLflow, Weights & Biases, and orchestration platforms like Kubeflow or Databricks. Deep understanding of cloud platforms (especially Azure and AWS), containers, microservices, and event-driven architecture. Strong problem-solving and debugging skills, including debugging AI pipelines and multi-model systems. Experience with version control and model versioning protocols. Demonstrated ability More ❯

background in financial services, particularly in market risk, counterparty credit risk, or risk analytics Proficiency in modern programming languages (e.g., Java, Python, Scala) and frameworks. Experience with cloud platforms (AWS, Azure, or GCP). Deep understanding of software development lifecycle (SDLC), agile methodologies, and DevOps practices. Preferred Skills: Strong communication and stakeholder management skills. Knowledge of financial instruments, market risk More ❯

QAT. We have a wide portfolio of projects, and our vast estate covers a whole range of tools. The below is sample snapshot of some tools we use:? Cloud: AWS and Azure. Backend: Java, Node.js, C#, Python, PHP, Scala, Power Platform Test Frameworks: PowerApps test studio & test engine, Playwright, Python based frameworks like Pytest, and several bespoke frameworks. DevOps: Azure … AWS, Kubernetes, Azure DevOps, Jenkins, Docker, Ansible, Terraform AI: Azure ML Studio, Python, Github Copilot, OpenAI, Anthropic, Google Other tools: Inspect , Axe, Checkov, ZAP, SonarQube. Person specification UK residency and security requirements?- You need to have lived in the UK for the past 5 years.? Your main day to day responsibilities will be: You will be setting the overall direction … of tools and test automation techniques including Open-Source technologies and object-orientated design, programming languages such as C# (or Java), Python and TypeScript, PowerApps platform tools, Azure (or AWS) tool stack, test tools like Playwright, using continuous integration, deployment and release tools? (Lead essential criteria) Working at senior leadership level, establishing and maintaining organisational level networks and actively engaging More ❯

You Have: Familiarity with Docker/Kubernetes Experience with other messaging platforms like Kafka, RabbitMQ, or MQ Exposure to DevOps pipelines and CI/CD tools Experience deploying in AWS, Azure, or GCP More ❯

You Have: Familiarity with Docker/Kubernetes Experience with other messaging platforms like Kafka, RabbitMQ, or MQ Exposure to DevOps pipelines and CI/CD tools Experience deploying in AWS, Azure, or GCP More ❯

You Have: Familiarity with Docker/Kubernetes Experience with other messaging platforms like Kafka, RabbitMQ, or MQ Exposure to DevOps pipelines and CI/CD tools Experience deploying in AWS, Azure, or GCP More ❯

Perforce. Containerization with Docker, Kubernetes. Preferred experience includes refining models with data scientists, defining MLOps strategies, ensuring data quality, conducting data analysis, maintaining documentation, working with cloud ML services (AWS, Azure), integrating various database systems, and utilizing CI/CD tools. Security clearance is required; if not currently held, you must be eligible and willing to undergo the process. Support More ❯

SQL databases & language, LINUX Strongly desired experience : Django or FLASK Python frameworks (other common Python frameworks will be considered) Desired Experience : JS libraries such as react.js, NoSQL, Grafana, Gitlab, AWS Ideally with a 1st/2:1 from a top tier university Experience of software operating in a cloud based environment offering products and services to real users Excellent interpersonal More ❯

Puppet, Ansible, Git), pipelines (Azure DevOps) and test automation Experience with CI/CD tooling (Azure DevOps) Comfortable with Elasticsearch log standardisation, Kibana dashboard creation and data analysis skills AWS hands on - Cloud formation, Route53, S3, DynamoDB, Cloud-watch, Lambda, Security, and troubleshooting, Azure experience also useful Certificate management and automation Strong troubleshooting and diagnosis skills Able to write documentation More ❯

business rules, UI Policies, Client Scripts, ACLs, Workflow Activities, and automation Proven track record of designing and implementing complex IT systems and architectures. Strong understanding of cloud platforms (e.g., AWS, Azure). Experience in applying enterprise integration strategies w.r.t ServiceNow platform. Knowledge of RESTful APIs and experience in building and consuming them using ServiceNow. In-depth knowledge of IT governance More ❯

business rules, UI Policies, Client Scripts, ACLs, Workflow Activities, and automation Proven track record of designing and implementing complex IT systems and architectures. Strong understanding of cloud platforms (e.g., AWS, Azure). Experience in applying enterprise integration strategies w.r.t ServiceNow platform. Knowledge of RESTful APIs and experience in building and consuming them using ServiceNow. In-depth knowledge of IT governance More ❯

business rules, UI Policies, Client Scripts, ACLs, Workflow Activities, and automation Proven track record of designing and implementing complex IT systems and architectures. Strong understanding of cloud platforms (e.g., AWS, Azure). Experience in applying enterprise integration strategies w.r.t ServiceNow platform. Knowledge of RESTful APIs and experience in building and consuming them using ServiceNow. In-depth knowledge of IT governance More ❯

with CI/CD pipelines, preferably Github Actions. DevOps and deployment orchestrators, preferably Kubernetes. Deep expertise with Docker-based development environments and deployments. Proficiency in MS Azure and Amazon AWS, and especially their AI offerings (Azure OpenAI and Bedrock). Familiarity with Terraform and/or cloud agnostic IaC. Experience with Google Cloud, Vector Databases, Semantic Search and Language Models … Data & AI area. We leverage scalable data platforms, MLOps, reference architectures, and modular components across the entire data and ML lifecycle. We are cloud-native, primarily working with Databricks, AWS and MS Azure. We embrace agility, diverse thinking, and continuous learning, fostering a culture of feedback, honesty, and fun. Please note that if you are NOT a passport holder of More ❯

this role with you further. Transferable skills and experience: General Design Modelling, ideally with Archimate (BizzDesign preferred) Requirements Modelling/Capture techniques such as User Stories and Use Cases. AWS General/Usage Azure Cloud General/Usage VMWare General/Usage Technical Leadership & Design DevSecOps tooling and practices Application Security Testing SAFe (scaled agile) Processes Data Integration Focused Data More ❯

About Us Our mission is to dominate the betting and gaming industry on a global scale and we need the very best Tech talent to help us achieve this. We recently migrated all of our customers onto our very own More ❯

BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no … Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand … Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and More ❯

and implement testing strategies —specific tools are flexible Pragmatic approach to balancing delivery speed with code quality Desirable Qualifications Background in regulated industries (e.g., EdTech, healthcare, finance) Familiarity with AWS services, CI/CD pipelines, or containerisation (Docker) Benefits & Culture Remote-first working model with optional in-person meetups Early-finish Fridays and competitive holiday allowance Private healthcare and professional More ❯

mentor junior engineers Balance delivery with strategic thinking in a fast-moving environment Ideal Candidate 7+ years of experience in software engineering Strong Python (FastAPI, Flask, or Django preferred) AWS or Azure cloud exposure Frontend awareness (e.g. React) Agile mindset; thrives in lean, delivery-focused teams Passionate about AI and emerging tech Holds a STEM degree (Russell Group or Red More ❯

taking ownership & accountability of project delivery, this is an ideal opportunity to make a lasting impact. Core Responsibilities Designing, building, and maintaining scalable, reliable, and secure cloud infrastructure on AWS using technologies including EC2, ECS, Lambda, SQS, DynamoDB, RDS, Cognito, S3, and SNS. Developing and deploying cloud-native applications following microservice design patterns. Implementing infrastructure as code using tools like … practices in security, compliance, and data protection are followed across all infrastructure components. Mentoring and providing guidance to junior engineers, promoting a culture of continuous learning and improvement. Qualifications AWS -You should bring a strong understanding of AWS with practical experience in deploying, managing and optimising cloud-based applications, ensuring they remain reliable and scalable. More than just EC2 deployments More ❯

Job Description Nutmeg is a J.P. Morgan company within the International Consumer Bank – Chase division, offering award-winning investments, products, and digital wealth management services to over 250,000 investors in the UK. We built the business from scratch, with More ❯

this role with you further. Transferable skills and experience: General Design Modelling, ideally with Archimate (BizzDesign preferred) Requirements Modelling/Capture techniques such as User Stories and Use Cases. AWS General/Usage Azure Cloud General/Usage VMWare General/Usage Technical Leadership & Design DevSecOps tooling and practices Application Security Testing SAFe (scaled agile) Processes Data Integration Focused Data More ❯

as a Data Engineer or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and More ❯

taking ownership & accountability of project delivery, this is an ideal opportunity to make a lasting impact. Core Responsibilities Designing, building, and maintaining scalable, reliable, and secure cloud infrastructure on AWS using technologies including EC2, ECS, Lambda, SQS, DynamoDB, RDS, Cognito, S3, and SNS. Developing and deploying cloud-native applications following microservice design patterns. Implementing infrastructure as code using tools like … practices in security, compliance, and data protection are followed across all infrastructure components. Mentoring and providing guidance to junior engineers, promoting a culture of continuous learning and improvement. Qualifications AWS - You should bring a strong understanding of AWS with practical experience in deploying, managing and optimising cloud-based applications, ensuring they remain reliable and scalable. More than just EC2 deployments More ❯

functionality and compliance post-migration. Required qualifications to be successful in this role Strong software engineering background, with experience supporting enterprise applications. Proven experience with cloud platforms such as AWS, Azure, or Google Cloud (AWS preferred). Demonstrable hands-on experience with lift and shift projects, preferably in a complex, regulated environment. Solid understanding of networking, storage, and security principles More ❯

stack, from UI to backend and data layers, on systems handling over 24,000 transactions per second, with low-latency (sub-second) performance. Support and enhance systems deployed across AWS (preferred), or Azure/GCP, with experience in on-premises and cloud rollouts. Contribute to application containerisation efforts, ideally with OpenShift or Kubernetes, or other container platforms. Guide teams through … and feature design. Key Skills Strong technical background in Java, with experience building and supporting high-throughput, production-grade systems at scale. In-depth knowledge of cloud environments (especially AWS), and experience with hybrid deployment models. Practical understanding of container orchestration and application deployment pipelines. Direct experience with authorisation systems and policy enforcement, ideally using policy-as-code frameworks. Understanding More ❯