As a Senior Specialist, DevOps, you'll play a critical role in building and maintaining robust MLOps infrastructure that powers Nasdaq's AI Engineering capabilities across global markets. You will design scalable pipelines, manage cloud-based model-serving platforms, and help shape the engineering standards for a growing, international team.

You'll thrive in this position if you're technically rigorous, collaborative by nature, and passionate about the intersection of machine learning and platform engineering in a fast-paced, high-impact environment.

Key Responsibilities

• Design, build, and maintain CI/CD/CT pipelines for training, validating, and deploying machine learning models at scale.
• Build and manage scalable model-serving infrastructure for both real-time and batch use cases.
• Implement model monitoring solutions covering performance, data drift, and reliability, including alerting and automated retraining workflows.
• Lead the development of provisioning, build, and deployment pipelines for cloud-based solutions, enforcing security, compliance, and governance standards.
• Partner with Engineering and Data Science teams across global locations to align on objectives and drive end-to-end product delivery.

Required Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• Proven experience with AWS, Terraform, Infrastructure as Code, Kubernetes, Helm, and GitLab in a production environment.
• Experience with deploying and operating Production systems
• Strong Python skills, and proficiency in Linux/Unix environments with troubleshooting.
• Clear communicator with the ability to collaborate effectively across global, cross-functional teams.
• Demonstrated experience setting technical direction, mentoring engineers, and introducing AI-assisted workflows into the software development lifecycle.

 

Preferred Qualifications

• Experience in Java/backend, SQL and/or scripting languages
• Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Exposure to ML lifecycle management, deployment, concepts and model governance practices and evaluation (precision/recall, ROC-AUC etc.)
  

This position is located in Vilnius and offers the opportunity for a hybrid work environment, with at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Please note that applicants must be eligible to work in Lithuania and applications must be in English.

Individuals applying for or occupying this position must have no previous unspent convictions for criminal offences under the Criminal Code of the Republic of Lithuania, with the exception of offences solely related to minor road traffic violations.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

Benefits & Rewards

We offer a competitive, well-rounded rewards package that supports you and your family - inside and outside work.

The annual gross base pay for this role is €43,000 - €80,000. At Nasdaq, we use a structured job and career framework to make sure growth opportunities are clear and fair. The pay range you see reflects the full salary band for this job level, including room for progression over time. The actual offer will depend on factors like your skills, experience, qualifications, and location, and will fall within a portion of the posted range that’s appropriate for this role. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable, as well as the following benefits:

• Competitive base salary  
• Annual bonus  
• Annual equity grant  
• Employee Stock Purchase Plan offering discounted company shares
• Voluntary III Pillar Pension Plan with Company contributions
• 20 vacation days + additional vacation days based on tenure
• 6 additional flex days per year
• Work from (almost) anywhere – up to 20 days/year
• Paid time off for volunteer work - up to 2 days/year
• Flexible Health Insurance program
• Group Life Assurance and 24/7 Accident Insurance
• Comprehensive sports, fitness and welness activities
• 24/7 mental health support for you and your family
• Global mentoring program
• Unlimited access to e-learning platforms
• Hybrid work setup
• Modern and comfortable office work environment with fresh fruit, snacks, and weekly fika breaks