Accountabilities

You will help maintain and evolve secure, high-performing production infrastructure while driving improvements in automation, reliability, and operational security. Your responsibilities will include:

Collaborate with infrastructure teams to recommend new technologies, improve existing platforms, and strengthen operational practices.

Monitor and optimize the performance, availability, stability, and security of production environments.

Participate in designing and provisioning new infrastructure environments to support emerging products and services.

Assess existing platforms and architectures to identify vulnerabilities, reliability gaps, and opportunities for improvement.

Design, implement, and maintain Infrastructure as Code solutions using Terraform, Pulumi, or CloudFormation.

Manage and secure Kubernetes and container orchestration environments, including EKS and OVH, using Helm, Kustomize, and related tools.

Implement cloud security controls and monitoring using AWS services such as IAM, GuardDuty, CloudTrail, Config, Security Hub, and Inspector.

Conduct vulnerability assessments, coordinate remediation activities, manage patches, and strengthen security configurations.

Develop and maintain incident detection and response processes, including security playbooks and response plans.

Secure CI/CD pipelines and automate deployment processes across Kubernetes, Docker Swarm, and virtual machine environments.

Apply progressive delivery practices such as Canary releases, Blue-Green deployments, and Feature Flags.

Manage configuration automation and secrets through tools such as Ansible, Chef, Puppet, AWS Secrets Manager, and HashiCorp Vault.

Strengthen network and access security through VPCs, VPNs, firewalls, WAF, Security Groups, RBAC, and IAM controls.

Implement and maintain secure database and storage environments, including backup, replication, and failover processes.

Create and improve monitoring, alerting, and service-level objectives to identify operational issues before they affect production.

Investigate incidents using logs, metrics, and traces, participate in post-mortems, and implement preventive improvements.

Lead or contribute to infrastructure migrations, automation initiatives, architectural improvements, and performance optimization projects.

Reduce repetitive manual work through scripting and automation, supporting a strong Site Reliability Engineering culture.

Requirements

The ideal candidate has extensive experience in SecOps, DevOps, or Site Reliability Engineering, with strong expertise in cloud infrastructure, automation, and security operations. You should be comfortable working with complex, highly available systems and taking ownership of technical challenges. The following qualifications and skills are expected:

6–8 years of experience in SRE, SecOps, DevOps, or a closely related infrastructure engineering role.

Experience managing complex environments, high-availability systems, and large-scale workloads.

Proven experience leading or contributing to infrastructure migrations, cost and performance optimization, automation projects, and production architecture improvements.

Strong Infrastructure as Code experience using Terraform, Pulumi, or CloudFormation, including reusable modules and version control practices.

Advanced knowledge of Kubernetes, including EKS and OVH, container orchestration, Helm Charts, Kustomize, Kubernetes Federation or Karmada, and policy enforcement with OPA/Gatekeeper.

Strong AWS and OVH cloud experience, including cloud security services and infrastructure controls.

Experience with vulnerability management tools such as Nessus, Qualys, or OpenVAS, as well as patch management and security remediation.

Knowledge of endpoint detection and response tools such as CrowdStrike, Carbon Black, SentinelOne, or Shodan, and experience developing incident response playbooks.

Hands-on experience with CI/CD tools such as Bitbucket Pipelines and Jenkins, as well as Git and automated deployments.

Knowledge of configuration management tools such as Ansible, Chef, or Puppet, and secrets management solutions such as AWS Secrets Manager or HashiCorp Vault.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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