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AlphaSights

Provides on-demand knowledge via expert network

Mid-level DevOps Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeRemote in BrazilNo salary listed

About the Job

Requirements

  • At least 3 years of experience demonstrating competency and positive results in a DevOps, site reliability engineering, or infrastructure engineering role.
  • At least 3 years of experience managing AWS infrastructure, including EKS, RDS, and S3, and professional experience with CI/CD tooling and concepts.
  • Experience working at a similar level in an engineering team.
  • A degree in a STEM subject is not required; the posting welcomes candidates who developed their skills through a different route.

Responsibilities

  • Plan, build, and maintain core AWS infrastructure and CI/CD pipelines and toolset.
  • Create solutions that enable engineering teams to deploy code quickly, reliably, and securely.
  • Ensure the availability, scalability, performance, and security of cloud infrastructure.
  • Diagnose and troubleshoot application- and infrastructure-related issues.
  • Provision cloud resources based on capacity, computing, and security requirements.
  • Apply zero-trust and least-privilege principles across critical systems and resources.
  • Work with development teams to manage and execute DevOps and infrastructure initiatives.
  • Evaluate and research alternative solutions to improve internal DevOps processes.
  • Continuously evaluate and refine monitoring of critical infrastructure and applications.

Desired Qualifications

  • The posting encourages candidates whose experience or background does not match every listed area to apply.

About the Company

AlphaSights

Provides on-demand knowledge via expert network

AlphaSights connects business and investment leaders with a global network of industry experts to provide real-time knowledge on demand. It sources and coordinates expert perspectives, matching clients to relevant experts and delivering insights that fit into the client’s workflow, aided by data science. The approach combines a large, worldwide expert network with rigorous compliance and tailored, fast guidance, helping clients move quickly from questions to answers. Its goal is to help investment firms, consultancies, and corporations make well-informed decisions and achieve better outcomes.

Company size
1,001-5,000
Company stage
Seed
Total funding
$8.8M
Headquarters
London, United Kingdom
Founded
2008

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