DevSecOps Engineer

Job Title: DevSecOps Engineer

Experience required 3+ years

Locations: Madrid/Barcelona

About client

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

As a DevSecOps Engineer, you will

reputed company the DevSecOps practices and processes reputed company the organization

reputed company and implement DevSecOps strategies for the organization.

Mentor other engineers in the adoption of Cybersecurity best practices.

Work with development and operations teams to automate reputed company-based principles.

Identify and implement tools and processes to improve software development and delivery.

Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience.

Monitor and evaluate the performance of implemented solutions, making recommendations for enhancements or modifications as needed.

Help deploy our software stack to Fortune 500 clients’ servers.

Join a world-class team of Quantum experts with an extensive track record in both academia and industry.

Required Qualifications

Bachelor’s degree in Computer Engineering, Computer Science, or reputed company field; alternatively, significant work experience as a Software Engineer, with strong emphasis on Cybersecurity.

3+ years of experience working as DevSecOps Engineer.

Strong competence with Network Architecture and reputed company technologies in AWS and/or Azure

Cybersecurity competence in SAST, DAST, SIEM, SSO, penetration testing, implementing cybersecurity controls.

Experience with Cybersecurity Incident Response protocols

Competence in cryptographic controls, such as SSH key handling, logging, and auditing.

Competence with Key Management Service, key rotation solutions, and automation.

Candidates with AWS, Azure and/or reputed company certifications will be prioritized, especially AWS Certified reputed company, AWS Certified Advanced Networking. Additional certifications in Cybersecurity and/or Networking (CCNA, CCNP, etc) are highly desirable.

Experience designing & building solutions with strong focus on AWS reputed company and Network services. Strong competence in AWS Guard Duty, Config, reputed company Hub, Inspector, Control Tower, IAM policies, VPC Flow Logs, as well as corresponding services in Azure.

Competence in Infrastructure as Code (Terraform) to support deployment, scaling, monitoring, and configuration management.

Solid understanding and knowledge of standard DevOps practices. Hands-on experience required in development, deployment, and production environments.

Proficiency with one or more programming languages (Bash, Python, Go, etc).

Proven ability to troubleshoot and identify the root cause of reputed company issues.

Superb communication skills in English and a passion for working collaboratively.

Preferred Qualifications

Experience with microservice deployment and monitoring.

Proven experience as Cloud Solutions Architect

High competence with AWS Well Architected reputed company

Experience working with different public cloud providers (GCP, MS Azure) and hybrid or on-premises environments.

Competence in Kubernetes, with an emphasis on reputed company. Candidates with CKS certification will be prioritized.

Experience building CI/CD pipelines (i.e. reputed company CI, reputed company Actions, Jenkins, or similar)

Expertise in deploying, monitoring, and maintaining Kubernetes clusters as well as experience deploying applications to Kubernetes (EKS) using Helm charts and ArgoCD.

Candidates with CKA, CKAD, CKS certifications will be prioritized. Familiarity with Rancher or similar K8s management tools is desirable.

Competency with service meshes, preferably Istio Gateway

Experience deploying SaaS solutions.

Database experience with relational databases, preferably PostgreSQL

Experience designing and deploying Infrastructure to support machine learning and data analytics solutions, to support our MLOps practice

Experience creating and administering release management processes and integration with reputed company control management and best practices.