5 of 5 Permanent Amazon ECS Jobs in Manchester

AWS DevOps Engineer

Hiring Organisation
Velocity Talent Ltd
Location
Manchester, North West, United Kingdom
Employment Type
Permanent
Salary
£45,000
primary driver for scalable CI/CD pipelines and modular Infrastructure as Code (IaC). Core Technical Stack Cloud (AWS): EC2, IAM, ECS/Fargate, VPC, Route53, S3, Lambda, and RDS. IaC: Advanced Terraform (modular/reusable code). Containers: Docker lifecycle management, ECR, and EKS orchestration. CI/ ...

Senior DevOps Engineer X 3 - Manchester

Hiring Organisation
Adria Solutions
Location
Manchester, North West, United Kingdom
Employment Type
Permanent
Salary
£75,000
projects Broad understanding across infrastructure, development, and deployment Experience leading technical workstreams or small engineering teams Technologies Youll Work With Terraform Kubernetes EKS and ECS Git Ansible Elastic Stack CI/CD tools (Jenkins, GitLab) AWS services (EC2, VPC, EBS, Transit Gateway) Cloud networking concepts Why Join Us Bonus ...

Senior Python Engineer (£100k + benefits)

Hiring Organisation
Morson Edge
Location
Manchester, North West, United Kingdom
Employment Type
Permanent, Work From Home
techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options ...

Senior Site Reliability Engineer (SRE)

Hiring Organisation
Paydock
Location
Manchester, England, United Kingdom
Paydock is a leading payments orchestration platform, empowering businesses to manage and scale their payment strategies seamlessly. We provide a single, elegant API to connect to a vast ecosystem of payment gateways and methods, simplifying ...

Senior MLOps Engineer

Hiring Organisation
55 Exec Search
Location
Manchester Area, United Kingdom
Python and hands-on ML framework experience (PyTorch, TensorFlow, etc.) • Experience deploying and serving ML models in production • Containerisation and orchestration (Docker, Kubernetes or ECS) • AWS experience (e.g. ECS, S3, SageMaker, Lambda) • CI/CD for ML workflows • Infrastructure as Code Nice to have: • Low-latency/real ...