Multiverse Computing
Multiverse is a wellfunded and fastgrowing deeptech company founded in 2019. We are the biggest Quantum Software company in the EU. We 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.
We provide hyperefficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our main product Singularity is used in bluechip companies in finance energy manufacturing cybersecurity and many more industries. Another product CompactifAI is used in Large Language Models editing.
You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment promoting sustainability and diversity. We aim to continue building our truly inclusive culture come and join us.
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 Multiverses toolbox interface.
- Join a worldclass team of Quantum experts with an extensive track record in both academia and industry.
- Collaborate with the founding team in a fastpaced startup environment.
Required Qualifications
- Bachelors 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 expertlevel 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. Handson experience required in development deployment and production environments.
- Extensive experience in largescale 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 onpremises 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.
Perks & Benefits
- Variable performance bonus.
- We offer work visa sponsorship (If applicable).
- Relocation package (if applicable).
- Private health insurance.
- Eligibility for educational budget according to internal policy.
- 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