3 дня назад
DevSecOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevSecOps Engineer (Cloud/Security): Building secure, automated infrastructure and delivery platforms for investment banking and financial services operations with an accent on Infrastructure-as-Code, cloud platforms, container orchestration, and security automation. Focus on reducing manual toil, driving architectural improvements, integrating AI agents and LLM tooling, and strengthening compliance across complex regulated environments.
Location: Hybrid in Porto or Lisbon, Portugal
Company
delivers technology projects and innovative solutions for business investment banking and financial services operations through its technological hub in Portugal.
What you will do
- Build and improve secure infrastructure and delivery platforms for financial services operations.
- Develop Infrastructure-as-Code solutions and automate CI/CD workflows.
- Design and improve containerized environments using Docker, Kubernetes, and OpenShift.
- Reduce manual toil and improve engineering team velocity through automation and architectural improvements.
- Implement application, container, secrets, and compliance security controls.
- Apply observability and centralized logging with tools such as Prometheus, Grafana, ELK, Datadog, Splunk, and CloudWatch.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 6–9 years of professional experience, including 5+ years in DevOps, Infrastructure Engineering, SRE, or related roles.
- 3+ years driving innovation, prototyping technologies, or leading architectural improvements.
- Expert knowledge of Infrastructure-as-Code and proficiency in Python, Go, Java, or Bash.
- Strong experience with CI/CD, Docker, Kubernetes, OpenShift, Linux/Unix administration, Git, and AWS, Azure, or GCP.
- Good level of English and ability to work in a hybrid setup in Porto or Lisbon.
Nice to have
- Experience in financial services or other regulated industries.
- Understanding of AI agents, LLM applications in operations, prompt engineering, and LLM-based tooling.
Culture & Benefits
- Health insurance.
- Personalized training plan with a dedicated training budget.
- Regular feedback focused on professional development.
- Remote onboarding process.
- Team events every semester.
- Culture of proximity, transparency, and openness to employee ideas.
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