Job description
Our Client islooking for a DevOps & Data Engineer with a strong focus on compliance to help us scale and secure our infrastructure while ensuring compliance with GDPR, ISO 27001, and other relevant regulations.
This role will bridge the gap between DevOps, Data Engineering, and Security Compliance. The Role You will be responsible for designing and maintaining our cloud infrastructure, ensuring data security, compliance, and scalability. You’ll work closely with product, engineering, and compliance team to implement secure, privacy-focused data pipelines and DevOps best practices.
Key Responsibilities:
DevOps & Infrastructure:
- Design, implement, and maintain scalable, secure cloud infrastructure (AWS, GCP, or Azure).
- Automate deployments and infrastructure provisioning using Terraform, Kubernetes, Docker, or similar tools.
- Optimize CI/CD pipelines for security and ehiciency (GitHub Actions, GitLab CI/CD, etc.).
- Implement observability, monitoring, and logging (Prometheus, Grafana, ELK, or similar).
Data Engineering & Security Compliance:
Build and maintain secure, compliant data pipelines (ETL, ELT) that integrate with HRMs, psychometrics, and project management tools.
Ensure data governance and privacy by implementing encryption, anonymization, and access controls.
Work on data storage, retention, and backup strategies to align with GDPR and ISO 27001.
Collaborate with compliance teams to implement security best practices (SOC 2, ISO 27001, GDPR compliance).
Perform regular security audits, risk assessments, and incident response planning.
Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform, Pulumi).
Proficiency in DevOps tools (Docker, Kubernetes, CI/CD pipelines).
Knowledge of security best practices (IAM, network security, data encryption, SIEM solutions).
Experience with data engineering (ETL, data lakes, database management with PostgreSQL, MongoDB, or similar).
Understanding of compliance frameworks (GDPR, ISO 27001, SOC 2, or similar).
Familiarity with scripting languages (Python, Bash, or similar) for automation and data processing.
Bonus: Experience with AI/ML pipelines, HashiCorp Vault, or advanced logging/security tools.
Work on a meaningful product that makes workplaces more inclusive.
Fully remote, flexible working culture.
Opportunity to shape the product and tech stack from an early stage.
Equity options in a growing company.
How to Apply: Please apply if you think you would be suitable for this role. We look forward to your application and the opportunity to welcome you to our team.
Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
