33 AWS Jobs in East London

resolve issues & enhance security measures within the CI/CD pipeline. If you have a background encompassing any of the following; Multi cloud environments, AWS, Azure, managing Splunk, defining data streams, indices, ingests & dashboards, adding security tooling to CI/CD pipelines, SAST, code security, SonarCloud, AWS Security Hub, Source … code, Github, Github Actions, IaC tooling, Automation, AWS CLI, Python, PowerShell, Azure CLI, Docker, Kubernetes etc, I'm keen to hear from you. Position: Engineering, Software Development, DevOps, DevSecOps, Security Purpose: Ensure security is seamlessly & effectively integrated with the software development life cycle (SDLC), recognising security threats, & configure infrastructure in … roles, with a focus on security. * Security tools such as vulnerability scanners, intrusion detection systems, & security information & event management (SIEM) solutions. * Multi cloud environments AWS & Azure etc. * Using & managing Splunk including defining data streams, indices & ingests & dashboards * CI/CD pipelines & adding security tooling to these * SAST & other techniques to more »

As a Presales Technical Architect, you will deliver presales to our customers and prospects in the public cloud space. Mainly working across Azure and AWS you will evangelise Computacenter and our public cloud offerings. As a key customer facing role, youll need proven skills in gathering requirements and designing complex … levels and be able to demonstrate an analytical and methodical approach with great problem-solving skills. The following areas are key: Public cloud platforms (AWS and Azure GCP is nice to have) DevOps Tooling (IaC, Automation, Orchestration, CI/CD, Testing etc.) Cloud Infrastructure Monitoring (Metrics & Logs) IT fundamentals (Networking more »

Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large language models. This … work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt MLE & DevOps experts. Understand … AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering, AWS administration and permission management. Expertise with building enterprise scale ML & LLM solutions more »

being able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming, code more »

Salesforce DevOps Engineer - FinTech/Banking - Salesforce, AWS, CI/CD, DevSecOps Oliver Bernard are currently working with a fast-growing FinTech/Banking company, with Headquarters across the UK, who are seeking a strong and experienced Senior Salesforce DevOps Engineer to join their Platform team as part of plans … a suitable for this opening, the following expertise is required: Strong Salesforce background, working with Salesforce APIs, CLI Tooling, SFDX etc Cloud experience with AWS and AWS Services Strong understanding of CI/CD and CI/CD best practices (ideally with GitLab, or equivalent) Knowledge of Security/DevSecOps … required 1-2 times p/month). Please apply here to register interest in this opportunity. Salesforce DevOps Engineer - FinTech/Banking - Salesforce, AWS, CI/CD, DevSecOps more »

Bridge, London (SE1 9QU) (2-3 days p/w in office) Salary: £500p/d OustideIR35 Industry: AI Tech Stack: Python, FastAPI, LLMs, AWS ‍ Great opportunity for a talented Development Lead (Python, FastAPI, LLMs, AWS) to be an early technical hire for an AI startup The Company  AI business … The platform aims to improve productivity and boost employee mental health and wellbeing. The Role ✨ They are seeking a Lead Engineer (Python, FastAPI, LLMs, AWS) to be an early technical hire helping to grow their MVP and ultimately scale the platform. You (Python, FastAPI, LLMs, AWS) will have ownership over … platform and be expected to lead architectural decisions and develop out the platform in a team of 3. The ideal candidate (Python, FastAPI, LLMs, AWS) will be a strong problem solver with experience of early businesses. Desired Skills ⚙️ Python FastAPI Large Language Models PostgreSQL, MySQL, NoSQL CI/CD, CircleCI more »

Rack Scanners or Electronic balances would be an advantage Experience of Windows Servers/Deploying onto Windows Servers or deploying to the Cloud/AWS would be beneficial Key responsibilities as an Technical Implementation Consultant would include Work closely with customers predominantly remotely and occasionally face-to-face on the … technical support to clients during UAT and go-live period before handover to support Creating software builds and releases Deploying in cloud deployments (Amazon AWS) Estimating length and complexity of application consultant work for sales estimates and writing sales proposals Communicating with developers during development projects on product changes and more »

a glance Join our team and youll be responsible for driving projects to improve the design of existing AI systems (classical ML & LLMs) on AWS and build new solutions. Your team will provide building blocks to train, evaluate, and serve large language models and demonstrate the capabilities of emerging technologies … Your responsibilities: Enable the AI Labs team and closely cooperate with data, infrastructure, and platform teams to design and deploy ML-based services using AWS Sagemaker. Understand current AI products, identify new opportunities, and drive their implementation. Design experiments & deployment solutions in the realm of AI systems. Drive initiatives in … software development standards. Develop talent in the AI labs team through learning & development as well as recruiting. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in working with DevOps, Cloud Operations, ML-engineering teams. Expertise in driving projects to build enterprise scale ML & LLM more »