1 to 25 of 26 Permanent Amazon ECS Jobs in London

Experience administering and maintaining systems monitoring/alerting technologies (CloudWatch, Splunk, Nagios, Rapid7, Grafana etc.). Proven experience with containerisation - Docker/Kubernetes/ECS/ECR, etc., Database administration - MySQL, QuestDB, Elasticsearch. Experience with multiple cloud providers AWS and GCP - Azure a bonus. Demonstrate strong verbal and written ...

with vector databases (e.g. Pinecone, Weaviate, pgvector) Feature store technologies such as Feast or AWS Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large-scale data processing frameworks such as Spark or Dask Knowledge of data governance, compliance and regulated ...

query optimisation. Experience designing and maintaining AWS DynamoDB schemas and indexes. Familiarity with AWS services including Lambda, API Gateway, CloudFormation/CDK, S3, ECS, CloudFront, and IAM. Hands-on experience with DevOps tooling (CI/CD pipelines, infrastructure as code, environment management). Understanding of cryptographic standards (RSA, ECDSA ...

Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications. Experience with feature stores (Feast, AWS Feature Store). Containerisation (Docker) and orchestration (Kubernetes, ECS). Infrastructure as Code (Terraform, CloudFormation). Large-scale data processing frameworks (Spark, Dask). Familiarity with data governance and compliance frameworks. Experience ...

vulnerability scanning. Infrastructure as Code: Terraform expertise (including scanning tools like Checkov or Prowler ). Modern Tech: Security oversight for Containers (EKS/ECS) , Lambda , and Java Microservices. Supplementary Skills: Identity & Access: OAuth 2.0, JWT, and Microsoft Entra (Azure AD) . Exposure to React.JS (from a security review perspective ...

experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM ...

troubleshooting skills in complex, distributed environments. Proficiency with scripting languages and configuration management tools (Ansible, Terraform). Experience with container technologies such as Docker, ECS, and Kubernetes. Knowledge of Windows and Linux system administration. Familiarity with performance tuning and cost management in the cloud. Agile development experience and strong ...

with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance ...

front office environment with hands on across all phases of development Lifecyle. Proven experience with AWS services such as S3, EC2, EKS/ECS, Lambda, Glue, Athena, Step Functions, DynamoDB, and RDS. Proven experience with Python and Spark for distributed and real time data processing. Strong quantitative reasoning ...

frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding of feature engineering and vector databases Strong grasp of CI/CD practices for ML deployment ...

your chance to join early, build something that matters, and win big. 🧑🏻‍💻 Our Current Tech Infrastructure : Python 3.11+, FastAPI, React/TypeScript, AWS (Lambda, ECS, Bedrock, SageMaker), PostgreSQL + Qdrant, Redis, Docker, Kubernetes, GitHub Actions, Terraform Vector Search : Pinecone, pgvector, hybrid retrieval (dense + sparse + re-ranking) Fine ...

with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS ...

communicate complex technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs ...

deeply technical environment. Core stack includes: Node.js, Typescript, Python, Postgres, Supabase, Redis, event-driven microservices, LLM-powered enrichment, n8n automation, AWS (Lambda, ECS, S3), Terraform, Next.js, enterprise security tools, CI/CD pipelines. Comfort discussing APIs, data models, enrichment logic, scoring frameworks, and ML-powered features is essential. What ...

with some of the following, or be open to learning: JavaScript: React, Node.js, Jest, Cypress Ruby (non-Rails environment) nice to have AWS: EC2, ECS, Lambda, S3, SQS Serverless.com Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues ...

scientific work Awareness of ethical, privacy, security and policy considerations in applied AI Desirable Experience Hands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments ...

Also Had Experience In Some Of These, But If Not Well Help You With Them Good knowledge of AWS cloud services (e.g. Lambda, ECS, Bedrock, S3, Sagemaker) ML Engineering and MLOps knowledge (e.g. Docker, ML flow) Experience working with government or other carefully regulated industries Track record of applying ...

Hands-on experience with Terraform and Infrastructure as Code principles. Proficiency in Golang for building automation tools and integrations. Expertise in AWS services (EC2, ECS/EKS, Lambda, S3, IAM, CloudWatch, etc.). Familiarity with Docker and container orchestration (ECS, Kubernetes, or EKS). Strong knowledge ...

learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker, MLflow) Experience in government or regulated environments Practical experience applying LLMs Security Clearance UKIC ...

across the entire stack using TypeScript and Node.js/NestJS. ☁️ Core Services & Infra: Developing backend services—from authentication to banking integrations—and utilizing AWS (ECS, RDS) and Docker. 🛡️ Technical Rigor: Balancing fast iteration with the high standards required in a regulated fintech environment, championing best practices in testing ...

applications in a high-growth B2B environment Strong technical depth across: Backend: Node js, Typescript Frontend: React, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event ...

applications in a high-growth B2B environment Strong technical depth across: Backend: Node js, Typescript Frontend: React, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event ...

components used across the organisation. Partner with engineering teams to define, implement and evangelise GenAI standards. Build production-scale systems deployed in AWS using ECS, Fargate, EKS, and IaC. Support engineering teams in adopting GenAI best practices and integrating advanced capabilities. Additional Responsibilities (Principal Level) Lead and mentor ...

Implement robust error handling, logging, monitoring and alerting Write clean, well-tested code with clear documentation Infrastructure & Cloud Engineering Own and manage AWS infrastructure (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, etc.) Design for scale, reliability and cost efficiency from the outset Implement infrastructure-as-code using Terraform Build … Fastify Python for data processing and automation Postgres, Supabase, Redis Event-driven microservices architecture n8n for workflow automation LLM-powered enrichment pipelines Infrastructure: AWS (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, IAM, VPC) Terraform for infrastructure-as-code GitHub Actions for CI/CD Monitoring and observability tooling Frontend ...

core infrastructure, supporting production systems, and contributing to the development of internal tools and services. Infrastructure Responsibilities Manage, optimise, and secure the AWS estate (ECS, ECR, EC2, VPC networking, IAM). Oversee and maintain Office 365 environment and related identity/security policies. Maintain and enhance CI/… production issues in existing C# or Python services. Contribute to improving service resilience, observability, and performance. Key Skills & Experience Essential Strong background in AWS (ECS, ECR, EC2, IAM, VPC). Solid experience with Linux (Ubuntu) systems administration. Familiarity with Windows workstation management. Hands-on CI/CD experience - ideally ...