Senior DevOps Lead

About Multiverse Computing

Multiverse Computing is an AI model provider leader in AI model compression. Its compressed AI models use techniques derived from quantum computing, enabling the smooth implementation of large AI language models and other systems with more than half the cost and energy consumption without sacrificing performance. With a global presence, its headquarters are located in Donostia-San Sebastián, Spain, with offices in Canada, the United Kingdom, France, Germany, Italy, Qatar and the United States. Multinational companies such as Iberdrola, Moody's Analytics, the Bank of Canada, and Telefonica have used Multiverse Computing's products. In 2025, they were named one of the “100 Most Promising Companies in AI” by CB Insights, and Digital Europe awarded them the “Future Unicorn 2024 Award.

Position

As a Senior DevOps Engineer / Tech Lead, you will

• Oversee and lead the DevOps practices and processes within the organization

• Develop and implement DevOps strategies for the organization

• Mentor and lead a team of DevOps engineers to deliver solutions

• Work with development and operations teams to automate software delivery processes

• 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

• Participate in the design of Multiverse’s toolbox interface

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

• Collaborate with the founding team in a fast-paced startup environment

Your qualification

• Bachelor’s degree in Computer Engineering, Computer Science, or related field; alternatively, significant work experience as a Software Engineer

• 8+ years of experience working as DevOps Engineer with expert-level skills in AWS. Candidates with AWS certifications will be prioritized

• Proven experience as Cloud Solutions Architect

• Experience mentoring and leading teams of DevOps engineers

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

• Extensive experience in large-scale, secure, and high availability solutions in the AWS cloud, using Infrastructure as Code (Terraform) to support deployment, scaling, monitoring, and configuration management

• Experience designing & building solutions within the AWS ecosystem. Strong competence in AWS EC2, EKS, Fargate, Lambda, CloudFront, S3, and other supporting services

• High competence with AWS Well Architected Framework

• Experience building CI/CD pipelines (i.e. GitLab CI, GitHub Actions, Jenkins, or similar)

• Advanced level of expertise in deploying, monitoring, and maintaining Kubernetes clusters as well as experience deploying applications to Kubernetes (EKS) using Helm charts. Candidates with CKA and/or CKAD certifications will be prioritized. Experience with Rancher or similar K8s management tools is desirable

• Competency with service meshes, preferably Istio Gateway

• Experience deploying SaaS solutions

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

• Proven ability to troubleshoot and identify the root cause of infrastructure and security issues

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

Preferred Qualifications

• Experience with microservice deployment and monitoring

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

• Database experience with relational databases, preferably PostgreSQL

• DevSecOps expertise with proven experience with SAST, DAST, SIEM, SSO, penetration testing, implementing cybersecurity controls and promoting security best practices

• 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 source control management and best practices

What we offer

• Indefinite contract

• Equal pay guaranteed

• Variable performance bonus

• Signing bonus

• We offer work visa sponsorship (If applicable)

• Relocation package (if applicable)

• Private health insurance

• Eligibility for educational budget according to internal policy

• Hybrid opportunity

• Flexible working hours

• Language classes and discounted lunch options

• Working in a high paced environment, working on cutting edge technologies

• Career plan. Opportunity to learn and teach

• Progressive Company. Happy people culture

Additional details

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.