Senior DevOps Engineer at Talcom
Amsterdam, North Holland, Netherlands -
Full Time


Start Date

Immediate

Expiry Date

27 Dec, 26

Salary

105000.0

Posted On

28 Sep, 26

Experience

11 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description

We are looking for an experienced DevOps or Platform Engineer who has worked with complex, enterprise-scale infrastructure and is comfortable taking ownership of cloud environments, deployment processes, reliability and automation.

This is a hands-on engineering role with a strong focus on AWS, Kubernetes, Infrastructure as Code, CI/CD and cloud-native operations.

The Role

You will work closely with software engineering and data teams to build, maintain and improve scalable infrastructure and deployment environments.

  • Key responsibilities include:Design, maintain and improve AWS-based infrastructure
  • Build and optimise CI/CD and GitOps workflows
  • Manage Kubernetes environments and application deployments
  • Develop and maintain Infrastructure as Code
  • Improve system reliability, scalability and availability
  • Implement monitoring, logging and observability solutions
  • Troubleshoot infrastructure issues and perform root cause analysis
  • Support deployments across internal and customer environments
  • Maintain infrastructure security and cloud IAM standards
  • Support compute infrastructure used by engineering and AI/ML workloads
  • Identify infrastructure maintenance requirements proactively
  • Participate in an on-call rotation for critical incidents


Technical Requirements

  • We are looking for strong hands-on experience with:AWS, particularly EC2, EKS, S3, IAM and VPC
  • Kubernetes
  • Helm
  • Terraform or similar Infrastructure as Code tooling
  • CI/CD pipelines
  • GitLab CI and/or Argo CD
  • GitOps practices
  • Grafana, Prometheus and/or AWS CloudWatch
  • Elasticsearch and/or OpenSearch
  • Cloud networking and security
  • Linux-based infrastructure


  • Experience with the following is highly valuable:Apache Kafka and event-driven architectures
  • Java, Python or Go
  • AWS cost optimisation / FinOps
  • Large-scale or multi-environment deployments
  • AI/ML compute infrastructure

How To Apply:

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Responsibilities

We are looking for an experienced DevOps or Platform Engineer who has worked with complex, enterprise-scale infrastructure and is comfortable taking ownership of cloud environments, deployment processes, reliability and automation.

This is a hands-on engineering role with a strong focus on AWS, Kubernetes, Infrastructure as Code, CI/CD and cloud-native operations.

The Role

You will work closely with software engineering and data teams to build, maintain and improve scalable infrastructure and deployment environments.

  • Key responsibilities include:Design, maintain and improve AWS-based infrastructure
  • Build and optimise CI/CD and GitOps workflows
  • Manage Kubernetes environments and application deployments
  • Develop and maintain Infrastructure as Code
  • Improve system reliability, scalability and availability
  • Implement monitoring, logging and observability solutions
  • Troubleshoot infrastructure issues and perform root cause analysis
  • Support deployments across internal and customer environments
  • Maintain infrastructure security and cloud IAM standards
  • Support compute infrastructure used by engineering and AI/ML workloads
  • Identify infrastructure maintenance requirements proactively
  • Participate in an on-call rotation for critical incidents


Technical Requirements

  • We are looking for strong hands-on experience with:AWS, particularly EC2, EKS, S3, IAM and VPC
  • Kubernetes
  • Helm
  • Terraform or similar Infrastructure as Code tooling
  • CI/CD pipelines
  • GitLab CI and/or Argo CD
  • GitOps practices
  • Grafana, Prometheus and/or AWS CloudWatch
  • Elasticsearch and/or OpenSearch
  • Cloud networking and security
  • Linux-based infrastructure


  • Experience with the following is highly valuable:Apache Kafka and event-driven architectures
  • Java, Python or Go
  • AWS cost optimisation / FinOps
  • Large-scale or multi-environment deployments
  • AI/ML compute infrastructure

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