376 to 400 of 414 Amazon ECS Jobs

PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven … explain technical trade-offs clearly to people who are not engineers. Desirable Event-driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB. Model monitoring in production: inference logging and drift detection. Exposure to healthcare, medical devices or another regulated industry. Why Work for Proximie? You will ...

Platform Engineer l Software development l Terraform l Infrastructure as code l IAM l AWS l ECS l Lambda l Python l Node.JS l CI/CD l Platform l £550 per day l Outside IR35 l Once a week in London l 6 months One of my clients … development background - ability to create and write code from scratch in Python or Node AWS Platform Engineering - Hands-on experience with AWS services including ECS, Lambda, IAM and CloudFront. Terraform & Automation - Strong Infrastructure as Code expertise using Terraform, with scripting skills in Python or Node.js. Cloud Security - Knowledge ...

“I can be myself at work.”You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your ...

greenfield project working in conjunction with another team building a mobile application.The DevOps Engineer Must have:Amazon Web Services such as EC2, ECS, Route53, RDS, ElastiCache, ElasticSearch, Athena, Glue, Redshift (or experience with Google/Azure platforms)Proficiency with infrastructure as code using CloudFormation (or Terraform, ansible ...

secure cloud infrastructure using the latest AWS technologies. You’ll be responsible for... Designing and evolving AWS cloud infrastructure Driving container platforms using AWS ECS and Docker Building Infrastructure as Code with Terraform Developing CI/CD pipelines with GitHub Actions Enhancing observability through Datadog Creating self-service platform … capabilities for engineering teams Optimising cloud performance, resilience and cost You’ll have senior level experience with... AWS Terraform ECS and Docker GitHub Actions or similar CI/CD tooling Datadog or another enterprise observability platform Python or Bash scripting What’s on offer... Hybrid working (2 days ...

operational processes using Terraform and scripting Improve deployment and release safety (CI/CD, progressive delivery patterns) Key contributor to transition strategy for ECS EKS (Kubernetes adoption) Reduce operational toil through tooling, self-healing, observability and platform improvements Empower Level-1 operational teams with safe, controlled access … with thought-leadership and developing long-term SRE roadmap for Digital Operations What experiencewe’relooking for Technical Strong experience in cloud environments, ideally AWS (ECS, with exposure or experience in EKS/Kubernetes) Hands-on experience with: Terraform (Infrastructure as Code) Observability stacks (Splunk, CloudWatch, Grafana) Strong programming skills ...

Strong SQL and sound data modelling instincts, plus experience working with large legacy relational estates and the constraints they bring. Comfort with container orchestration (ECS, Kubernetes) and how data workloads actually behave in production. A platform mindset — you take as much satisfaction from the paved road as from … legacy, being modernised), plus lakehouse storage on S3 Cloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure as Code) Streaming: Kafka Containers & Orchestration: ECS, Kubernetes Our Behaviours: Explore Boldly: We value engineers who are eager to learn new technologies and stay current with industry trends. Bounce Back Stronger ...

engage customers to understand the problems worth solving, bringing that perspective back into how you design and build. Work with AWS managed services including ECS/Fargate, Lambda, SQS, DynamoDB, and DocumentDB to build and evolve a scalable, event-driven architecture that performs under real load. Use AI coding … believe in using the right tool for the job. Our current stack includes: Backend: TypeScript, Node.js, C#, .NET Frontend: TypeScript, React Cloud & Infrastructure: AWS (ECS, Lambda, SQS, DocumentDB, DynamoDB), Terraform, SST (Infrastructure as Code) Architecture: Microservices, Microfrontends, Event-driven architecture What You Need to Be Successful A strong background ...

Python and Django, on a service-based architecture with a strong focus on multi-tenant data isolation. Cloud and infrastructure: AWS, managed with Pulumi. ECS/Fargate, Docker, ALB, SQS, S3, Lambda, API Gateway, ElastiCache, WAF, CloudWatch, and more. What we\'re looking for You don\'t need … some of: Python, or another backend language you know well. Claude Code, Cursor or Codex. A relational database like Postgres. AWS, or another cloud (ECS/Fargate, Lambda, SQS, S3, or the equivalents). Docker. Infrastructure as code (Pulumi, Terraform, or similar). LLM and AI integrations, or event ...

architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across … latency, throughput, and scalability across GenAI workloads.**Your Skills:*** Experience designing cloud-native GenAI architectures using AWS services such as Bedrock, Lambda, SageMaker, OpenSearch, ECS/EKS, API Gateway, Step Functions, S3, IAM, KMS, and CloudWatch* Knowledge of scalable, secure, event-driven, and distributed system architectures* Experience integrating structured ...

experience10+ years of hands-on technical experience in SRE, Platform Engineering, Infrastructure, or related rolesStrong experience with AWS, including services such as EKS, ECS, EC2, networking, IAM, and managed servicesDeep hands-on experience with Kubernetes and containerised platformsStrong background in Linux systems administrations.Proven experience designing and operating observability platforms … regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability to influence design and operational decisionsHighly collaborative, comfortable working across architecture, engineering, security, and operations teamsCalm ...

experience10+ years of hands-on technical experience in SRE, Platform Engineering, Infrastructure, or related rolesStrong experience with AWS, including services such as EKS, ECS, EC2, networking, IAM, and managed servicesDeep hands-on experience with Kubernetes and containerised platformsStrong background in Linux systems administrations. Proven experience designing and operating observability … regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability to influence design and operational decisionsHighly collaborative, comfortable working across architecture, engineering, security, and operations teamsCalm ...

need strong commercial experience across: C#/.NET/.NET Core Legacy application modernisation and migration AWS cloud-native engineering AWS ECS Docker/containerisation Terraform and/or CloudFormation Event-driven or event-sourced architecture AWS SNS and SQS Microservices/distributed systems SQL Server CI/… days per week onsite Interview: Single-stage 30-minute technical interview If you've delivered a legacy .NET to cloud-native AWS migration using ECS, containerisation, IaC and event-driven architecture, please apply with your latest CV. RSG Plc is acting as an Employment Business in relation to this ...

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources … objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed, robustness, and long-term maintainability. Strong background ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed, robustness, and long-term maintainability. Strong background ...

including model-invocation gateways, MCP proxy layers, and webhook-driven event processors using FastAPI, Docker containers, and GPU-optimized data pipelines deployed on AWS ECS and AWS Bedrock AgentCore. 6. Performing coding, debugging, and testing of software components across the full stack, including agent runtime services, backend APIs, model … routing layers, and deployment infrastructure on AWS (Bedrock AgentCore, ECS, S3, Terraform). 7. Contributing to the design and development of product features as part of a cross-functional engineering team, including OAuth-based third-party integration abstractions, MCP tool proxies, and webhook-driven event triggers for AI agents. ...

best practices Contribute to improving developer workflows and tooling (GitHub, GitHub Actions, Slack, Linear, Sentry, SolarWinds) Learn about and contribute to infrastructure (Docker, AWS ECS, RDS, S3, SES, CloudFront, CDK) with support from senior teammates. What we are looking for 4-7 years of experience shipping fullstack features … product-driven team Strong skills with React, TypeScript, Node.js, and PostgreSQL Working knowledge of AWS services (ECS, RDS, S3, CloudFront, etc.) Hands on with modern workflows and tooling, for example GitHub, GitHub Actions, Linear, Sentry Ability to scope medium sized tasks, estimate, and deliver end to end within established ...

hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training and processing jobs, pipelines, model registry, and endpoints Practical MLOps experience with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs … Ability to explain technical trade-offs clearly to non-engineers Desirable: event-driven and streaming architectures on AWS, including Step Functions, Lambda, Kinesis, ECS, and DynamoDB Desirable: model monitoring in production, inference logging, and drift detection Desirable: exposure to healthcare, medical devices, or another regulated industry Core Competencies Demonstrates ...

Role 5+ years of experience building scalable high volume low latency backend services Proficiency in our tech stack — Python, TypeScript (backend), AWS (CDK/ECS/Step Functions/Lambda/S3) Familiarity with code versioning tools, such as GitHub Ability to engage, learn and contribute quickly … remedy defects and follow through to production Nice to Have Traits for This Role Experience and knowledge within the navigation domain Experience with Amazon Elasticache Experience with SQL Experience with Big Data/ML Experience with various security standards and associated technical knowledge What We Value We value ...

take ownership of cloud infrastructure across multiple environments, using Terraform and Infrastructure as Code to build scalable, resilient platforms. Working with containerised workloads on ECS, you'll enhance CI/CD pipelines, automate deployments, improve observability through monitoring and logging and implement best practices for cloud security, networking … levelYou have experience within a FinTech or financial services environmentYou have strong experience working with AWS cloud infrastructureYou have experience managing ECS based containerised environmentsYou have hands on experience with Terraform or similar Infrastructure as Code toolsYou have experience building and maintaining CI/CD pipelinesYou have a good ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud ...