AWS DevOps Engineer at Ciphr
Reading RG1 1PW, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Jun, 25

Salary

90000.0

Posted On

19 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Software, Ec2, Recovery Planning, Pension, Paternity, Process Automation, Python, Github, Aws, Access, Javascript, Ecs

Industry

Information Technology/IT

Description

AND WE WOULD LIKE YOU TO HAVE THE FOLLOWING SKILLS:

Essential

  • Extensive experience designing and managing infrastructure using AWS, including ECS, EC2, RDS, DynamoDB and SQS.
  • Understanding of disaster recovery planning.
  • Knowledge and experience to manage IaC environments via terraform.
  • Understanding and experience of DevOps toolchains, CI/CD pipelines and process automation.
  • Strong attention to detail and an ability to manage multiple tasks and projects simultaneously.
  • Desire to learn new technologies and continually improve your technical skills.

Desirable

  • Knowledge of software build processes in Python and Javascript
  • Strong SQL skills, especially Postgres.
  • Familiarity with GitHub, GitHub actions, Azure Dev Ops (ADO) and ADO Pipelines.
  • Experience in other cloud environments, especially Azure
Responsibilities
  • Manage and take responsibility for the production and pre-production AWS environments for our AWS based products.
  • Work closely with cross-functional teams, including product management, engineering, and quality assurance, to ensure that development, deployment, and testing processes are streamlined, efficient, and scalable.
  • Support the creation, documentation, and implementation of DevOps processes, standards, and procedures that adhere to industry best practices and ensure compliance with regulatory requirements.
  • Create and implement automated build, deployment, testing, and monitoring processes to improve software delivery speed, efficiency, and quality.
  • Support the analyse system performance metrics to identify areas for improvement and make recommendations to the engineering team to drive system performance and reliability
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