Role Overview
As a DevOps Engineer reporting to Senior Director of Software Engineering you'll play a critical role in building and operating the cloud and infrastructure foundation that powers a new R&D team focused on responsible AI for global financial markets. You'll thrive in this position if you're hands-on, curious, and take full ownership of outcomes - someone who embraces Agile ways of working, welcomes candid feedback, and looks for solutions rather than culprits.
Key Responsibilities
- Automate AWS infrastructure deployments using Terraform and GitLab CI/CD pipelines, ensuring reliable, repeatable delivery across environments.
- Own and operate Kubernetes clusters, including upgrades, configuration management, and containerized service reliability.
- Maintain observability, secrets management, high availability, and reliability standards across all environments.
- Identify opportunities to integrate AI-assisted tooling into operational workflows, pipelines, and product development.
- Collaborate across teams, contribute to continuous improvement, and take accountability for team goals and outcomes.
We offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families (where applicable). The base pay for this role is 3500 eur to 4000 eur gross. The actual pay depends on factors like your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable. We utilize a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. This position will be located in Vilnius, Lithuania, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. For more information, visit Nasdaq Benefits & Rewards Career Page.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Proven years of experience in DevOps, cloud infrastructure, or a related discipline.
- Hands-on experience deploying and managing Kubernetes clusters and containerized applications (Docker, Podman, or similar).
- Working knowledge of AWS services including EKS, RDS, and IAM; comparable Azure or GCP experience is valued.
- Proficiency with CI/CD pipelines (ideally GitLab), Git workflows, and scripting in Bash, Python, or similar.
- Demonstrated use of an AI-assisted tool to solve an infrastructure or operational problem.
Preferred Qualifications
- Familiarity with GitOps tools such as FluxCD or Argo CD, and experience authoring or modifying Helm charts.
- Experience with CloudFormation, OpenTofu, Ansible, or comparable infrastructure-as-code and configuration management tooling.
- Background in fintech, capital markets, or a regulated industry environment.
