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DevSecOps, Automation & Innovation Engineer | IT CIB


Job Location:

Lisbon - Portugal

Monthly Salary: Not provided by the employer
Posted: 8 July 2026 (30+ days ago)
Application Deadline: 5 October 2026
Vacancies: 1 Vacancy

Job Summary

We are seeking an Automation & Innovation Engineer to join the IT Transversal (IT TRV) Innovation & Development team a forward-looking role driving automation transformation and continuous innovation of CIBs development and deployment ecosystem.

Key Responsibility Areas:

1. Automation Transformation Leadership

Primary: Eliminate manual development and operational toil

  • Design and implement comprehensive CI/CD pipeline automation across CIB
  • Automate infrastructure provisioning through Infrastructure-as-Code principles and tooling
  • Establish GitOps principles for configuration management and deployment
  • Automate security validation compliance checks and dependency scanning
  • Drive adoption of containerization (Docker) and orchestration (Kubernetes/OpenShift)
  • Create self-healing infrastructure that requires minimal human intervention
  • Eliminate manual security reviews through automated security gates

2. Innovation Leadership & Technology Prototyping

Primary: Drive continuous innovation in automation practices

  • Lead innovation lab activities  prototype and validate emerging automation technologies (service mesh policy-as-code advanced observability GitOps tools)
  • Conduct technology watch on DevOps security automation and AI4DevOps trends
  • Create proof-of-concept implementations for cutting-edge tools/frameworks
  • De-risk adoption of emerging technologies before enterprise-wide rollout
  • Transfer innovations and c ompetencies to Development Squad and Business IT teams (IT TRV IT GMT IT GBCR)
  • Establish automation excellence center standards and best practices
  • Present findings and recommendations to CIB CIO community

3. Self-Service Platform Engineering

Primary: Build automation platform enabling team independence

  • Design and maintain internal platform (CI/CD IaC observability security scanning)
  • Create Platform-as-a-Service (PaaS) abstractions hiding infrastructure complexity
  • Enable developers to deploy code securely without manual security reviews
  • Establish platform as reusable asset available to IT Transversal GMT and GBCR teams
  • Build self-service capabilities (provisioning deployments rollbacks)
  • Document and evangelize platform usage through training and community building

4. Developer Experience & Productivity Innovation

Primary: Reduce friction and enable developer happiness

  • Measure developer toil  manual repetitive work slowing down delivery
  • Enable fast feedback loops  deployment feedback in seconds not hours
  • Design frictionless onboarding  new team members productive in days
  • Build tools that feel like magic  developers dont need to understand infrastructure
  • Conduct regular feedback sessions with development teams to identify pain points

5. Velocity Metrics & Continuous Improvement

Primary: Drive measurable improvements in team performance

DORA Metrics Targets:

Metric                                             Target

Deployment frequency                    Daily or multiple-times-daily

Lead time for changes                    Reduce from weeks to days/hours

Time-to-recovery (MTTR)               Reduce by 50%

Change failure rate                         Reduce failed deployments

 

Automation Coverage Targets:

Area                                                Target

Infrastructure-as-Code coverage    100%

Security validation automation        90%

Testing automation                          95%

Self-service deployment adoption   90%

 

6. AI4DevOps Innovation & Intelligent Automation

Primary: Pioneer AI-driven automation in CIBs DevOps ecosystem

  • Design and deploy AI agents for infrastructure provisioning deployment automation and incident remediation
  • Establish AI Agent Governance frameworks:
    • Define permission systems and privilege boundaries for AI agents
    • Implement containment strategies ensuring safe agent operation in production
    • Establish audit trails and decision logging for agent actions
  • Implement AI-driven threat modeling and proactive security:
    • Leverage LLMs for threat modeling and adversary behavior anticipation
    • Move from reactive compliance to proactive security hardening
  • Build observability and tracing for AI agents (causal graph tracing confidence metrics)
  • Design data governance policies for AI agents (prevent data exfiltration implement redaction)
  • Develop agent-ready infrastructure code (idempotent predictable safe for AI consumption)
  • Establish hybrid human-AI workflows with clear escalation paths

Qualifications :

Experience & Education

  • Bachelors degree in Computer Science Engineering or equivalent experience
  • 5 years in DevOps Infrastructure Engineering SRE or related roles
  • 3 years driving innovation prototyping technologies or leading architectural improvements
  • Proven track record of reducing manual toil and improving team velocity
  • Familiarity with financial services or regulated industries preferred

Infrastructure Automation & DevOps

  • Expert-level Infrastructure-as-Code principles and practices (tool-agnostic)
  • Strong CI/CD expertise: Jenkins GitLab CI GitHub Actions
  • Deep containerization (Docker) and orchestration (Kubernetes OpenShift)
  • Linux/Unix system administration (RHEL CentOS Ubuntu)
  • Git mastery (GitFlow branching strategies)
  • Cloud platform experience (AWS Azure GCP)

Security & Compliance Automation

  • Application security principles (OWASP Top 10)
  • Security scanning automation: SAST/DAST (SonarQube Checkmarx ZAP)
  • Container security scanning (Trivy Aqua)
  • Secrets management (HashiCorp Vault AWS Secrets Manager)
  • Compliance frameworks (PCI-DSS GDPR SOX)
  • Security policy-as-code (OPA Kyverno)

AI & Intelligent Automation (AI4DevOps)

  • Understanding of AI agents and LLM applications in operations
  • Familiarity with prompt engineering and LLM-based tooling
  • Conceptual knowledge of agent governance permission systems and sandboxing
  • Exposure to AI agent frameworks (LangChain AutoGen)
  • Understanding of hybrid human-AI workflow design

Monitoring Logging & Observability

  • Prometheus Grafana ELK Stack Datadog
  • Centralized logging (ELK Splunk CloudWatch)
  • APM and distributed tracing (Jaeger DataDog New Relic)

Software Engineering & Architecture

  • Proficiency in Python Go Java or Bash
  • REST APIs microservices event-driven systems
  • Software design principles and testing strategies

Soft Skills

  • Innovation mindset  prototyping experimentation failing fast
  • Entrepreneurial drive  ownership bias toward action
  • Communication  technical and non-technical stakeholders
  • Collaboration  across Development Security and Operations
  • Teaching mindset  mentoring teams on automation best practices
  • Continuous learning  staying current with emerging technologies

Preferred Skills

  • Open-source contribution or community involvement
  • Service mesh experience (Istio Linkerd)
  • GitOps platform experience (ArgoCD Flux)
  • Incident response and postmortem facilitation

Success Metrics & KPIs

DORA Metrics

  • Deployment frequency: weekly daily or multiple-times-daily
  • Lead time for changes: weeks days/hours
  • MTTR: reduce by 50%
  • Change failure rate: reduce failed deployments and rollbacks

Automation Coverage

  • Infrastructure-as-Code: 100% defined in code
  • Security scanning: 90% automated
  • Testing: 95% executed automatically
  • Deployments: 90% via automated pipelines

Platform Adoption

  • Developer adoption: 80% of CIB developers using self-service platform
  • Self-service deployments: 80% of production deployments
  • Developer toil reduction: 20% in manual tasks
  • Developer satisfaction: 80% satisfaction score

Innovation Impact

  • Technologies prototyped: 2-3 per year
  • Prototype-to-production rate: 60% within 18 months
  • Regular innovation updates to CIB CIO community

AI4DevOps Maturity

  • AI agent governance framework: established and documented
  • AI-driven infrastructure changes: 30%
  • Agent success rate: 95% reliability
  • Proactive threat detection via LLM-based modeling

    Additional Information :

    Our workplace reflects the vibrant spirit of our locations with initiatives such as a Green Transportation Budget electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club a Prayer Room a Lactation Room and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies we are committed to being inclusive caring and fair ensuring every voice is heard and valued.


      Remote Work :

      No


      Employment Type :

      Full-time


      About Company

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      Natixis in Portugal is fully integrated in the global organization of Natixis, a French multinational financial services firm specialized in Asset & Wealth Management, Corporate & Investment Banking, Insurance and Payments. A subsidiary of Groupe BPCE, Natixis counts nearly 16.000 emp ... View more

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