26 to 50 of 68 Amazon ECS Jobs in the North West

CD pipelines (GitHub Actions experience is a big plus) Implementing Infrastructure as Code (Terraform) Supporting deployments of PHP/Laravel applications in high-concurrency environments Working with Docker, Kubernetes, ECS or EKS Automating development workflows and driving performance optimisations Building out monitoring solutions, cost management strategies, and SOC2-compliant processes 🧠 Skills & Experience Needed 5+ years in a DevOps-focused More ❯

Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines; Container platform and orchestration systems ECS, AKS, Kubernetes/helm/Docker Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents Experience in scripting languages and source control Competitive Benefits More ❯

Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines; Container platform and orchestration systems ECS, AKS, Kubernetes/helm/Docker Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents Experience in scripting languages and source control Responsibilities Building More ❯

record of consolidating data sources, creating pipelines, and ideally a software engineering mindset. Excellent experience with Containers. Strong knowledge of Python, Airflow, SQL, and Linux. Proficient in AWS Lambda, ECS, Athena, S3, Kinesis, Glue, CloudWatch/Terraform/CDK, Tableau Online. They are particularly keen on Senior Data Engineers who utilize good AI-based tooling for productivity, such as More ❯

or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation, CI/ More ❯

or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation, CI/ More ❯

or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation, CI/ More ❯

with product and platform teams to build out infrastructure and tooling using AWS, Terraform, Docker, and CI/CD pipelines. Supporting and evolving our container-based architecture (we use ECS and Fargate). Driving SRE best practices: SLIs/SLOs, error budgets, reducing toil, and improving observability. Using (and hopefully enjoying!) tools like Datadog, Prometheus, Grafana, and Nix to … support your work. What we’re looking for: Strong experience with AWS, Terraform, Docker, and container orchestration (ECS/Fargate). Good understanding of CI/CD pipelines and DevOps workflows. Solid grasp of SRE principles – SLIs, SLOs, error budgets, observability, etc. Familiarity with Datadog, Prometheus, Grafana, or similar tools. Experience with Nix is a plus (or curiosity to More ❯

Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Scripting (Ansible, Bash, Python, Go) CI/CD Primary Job Responsibilities: Design and support EC2/ECS/EKS/Fargate environments for high availability and fault tolerance. Implement advanced AWS features (Route53, ALB/NLB, multi-region setups) to ensure global reliability. Maintain and optimize More ❯

Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Scripting (Ansible, Bash, Python, GO) CI/CD Primary Job Responsibilities: Design and support EC2/ECS/EKS/Fargate environments for high availability and fault tolerance. Implement advanced AWS features (Route53, ALB/NLB, multi-region setups) to ensure global reliability. Maintain and optimize More ❯

Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Scripting (Ansible, Bash, Python, GO) CI/CD Primary Job Responsibilities: Design and support EC2/ECS/EKS/Fargate environments for high availability and fault tolerance. Implement advanced AWS features (Route53, ALB/NLB, multi-region setups) to ensure global reliability. Maintain and optimize More ❯

Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Scripting (Ansible, Bash, Python, Go) CI/CD Primary Job Responsibilities: Design and support EC2/ECS/EKS/Fargate environments for high availability and fault tolerance. Implement advanced AWS features (Route53, ALB/NLB, multi-region setups) to ensure global reliability. Maintain and optimize More ❯

Key Responsibilities: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive … LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring More ❯

of the following skills: Understanding of TypeScript, Nodejs and React Experience with writing JavaScript Unit Tests for functions and React Functional Components Experience developing with AWS offerings - DynamoDB, SQS, ECS, Lambda, etc. Familiarity with GitHub and CI/CD workflows Understanding of Authentication & Authorization Workflows Familiarity with the Twilio platform or other Realtime communications platforms Knowledge of containerisation technologies More ❯

applications PostgreSQL (GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP More ❯

applications PostgreSQL (GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP More ❯

applications PostgreSQL (GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP More ❯

applications PostgreSQL (GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP More ❯

applications PostgreSQL (GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP More ❯

future colleagues. Our tech stack: We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres, SNS/SQS and Redis. We have good end-to-end test coverage and are confident in our deployments. What we More ❯

Scala and functional programming Knowledge of AWS services and infrastructure monitoring Experience working with AWS Lambda functions Experience working with microservices/micro frontends Experience working with Docker/ECS Experience with Netty and Akka or other non-blocking, multi-threaded IO libraries Experience working with Jenkins/Bitbucket Pipelines Experience in deployment and maintenance of Linux based servers More ❯

Scala and functional programming Knowledge of AWS services and infrastructure monitoring Experience working with AWS Lambda functions Experience working with microservices/micro frontends Experience working with Docker/ECS Experience with Netty and Akka or other non-blocking, multi-threaded IO libraries Experience working with Jenkins/Bitbucket Pipelines Experience in deployment and maintenance of Linux based servers More ❯

Scala and functional programming Knowledge of AWS services and infrastructure monitoring Experience working with AWS Lambda functions Experience working with microservices/micro frontends Experience working with Docker/ECS Experience with Netty and Akka or other non-blocking, multi-threaded IO libraries Experience working with Jenkins/Bitbucket Pipelines Experience in deployment and maintenance of Linux based servers More ❯

Scala and functional programming Knowledge of AWS services and infrastructure monitoring Experience working with AWS Lambda functions Experience working with microservices/micro frontends Experience working with Docker/ECS Experience with Netty and Akka or other non-blocking, multi-threaded IO libraries Experience working with Jenkins/Bitbucket Pipelines Experience in deployment and maintenance of Linux based servers More ❯

rather someone who is prepared to grow with us. We have in-team knowledge sharings and allocated focus time for engineering excellence. Experience developing with AWS offerings - DynamoDB, SQS, ECS, Lambda, etc. Experience in building and operating distributed, event driven systems. Familiarity with GitHub and CI/CD workflows Understanding of Authentication & Authorization Workflows Familiarity with the Twilio platform More ❯