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Azure Deveopsw2 Contract Jobs

Company

Sprintsoft Technologies, Inc

Address United States
Employment type CONTRACTOR
Salary
Expires 2023-07-10
Posted at 10 months ago
Job Description

As a DevOps Engineer, you will work on digital, data-driven transformation initiatives alongside developers and data scientists. You will help design, build and maintain the core platforms and services in the use of AI, Data and Analytics using new approaches to data management, proven best practices and modern tech stacks.


We're constantly looking for talented engineers across Cloud, Infrastructure, DevOps and Security, among others to add to our growing team in London. Therefore, even if some of the job duties are unfamiliar to you, please do not hesitate to get in touch with us. We believe that new challenges inevitably lead to new opportunities.


The Role


Responsibilities


  • Review and demonstrate solutions with stakeholders and aligned agile pods
  • Identify and implement automation opportunities to ingest, search and process datasets
  • Design and build out of IaC and integration points for a new data mesh driven solution
  • Prioritize and deliver against a defined Backlog of Epics in an agile approach

  • You Are


    • A strong decision-maker with excellent problem-solving, analytical and interpersonal skills
    • Experienced in Cloud development with Azure, Kubernetes and Docker containerisation
    • An excellent written and verbal communicator
    • Equipped with a proven, hands-on record in Java, Microservices and DevOps, CI/CD, Cloud engineering
    • Ready to work with global, diverse, cross-functional teams, and can develop and nurture good working relationships
    • Able to work in an Agile environment
    • Coming from a strong CI/CD and/or IaC background in building repeatable, automated services using Terraform, GitLab and Backstage, among others

  • It Would Be Great If You Also Had

    • A background in financial services, banking and large enterprise environments
    • Any experience in Data Management, Machine Learning or Artificial Intelligence