MLOps Jobs in Bucharest.
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Senior Domain Engineering Specialist - VDP
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. You will partner with Customer Success Engineers (CSEs) and Account Executives (AEs) to drive customer outcomes across security-related products and use cases within the Veeam Data Platform (VDP). You’ll lead readiness checks, data modeling, and risk conversations with CISO/CIO stakeholders, while monitoring telemetry and maturity against the Veeam Data Resilience Maturity Model (DRMM) to optimize posture and identify expansion opportunities.
What You’ll Do
- Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform (VDP).
- Run readiness checks and lead data modeling to validate solution design and accelerate decisions.
- Monitor attack surfaces and vulnerabilities (including DRMM scoring), track telemetry or recurring inspection signals, report trends, and capture potential health checks.
- Validate designs to de-risk adoption and accelerate time to value.
- Identify and articulate expansion opportunities; review consumption trends and schedule checkpoint reviews (with or without AE coordination).
- Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and CSE-led QBRs.
- Support AEs on security- and AI-driven expansion motions; influence roadmap priorities with CSE counterparts.
- Operate as a pooled resource covering Enterprise and Commercial-Named accounts (generally $100K+ ARR), typically at a 1 Security Success Engineer to 6–8 CSE coverage ratio.
- Note: Not the primary owner for Onboarding motions nor directly responsible for Renewals
What You’ll Bring
- 5+ years of experience in engineering architecture for cybersecurity-related products (e.g., Security Engineer/Architect, Cloud Solution Architect, MLOps/ML Engineer).
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree is a plus.
- Relevant certifications (e.g., CompTIA Security+, CISSP, or equivalent).
- Expertise in data security and governance, including DSPM/DLP; familiarity with AI/ML architectures.
- Demonstrated ability to engage CISO/CIO stakeholders on risk, resilience, and modernization roadmaps.
- Hands-on experience with solution design, POCs, telemetry monitoring, and maturity modeling (DRMM familiarity is a plus).
- Strong communication, stakeholder management, and cross-functional collaboration skills.
- VMCE certification (can be completed after joining)
What You’ll Get
- 21 annual vacation days, additional days based on tenure, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private health, dental, and vision insurance for employees and dependents, including outpatient care, hospitalization, pregnancy monitoring, and psychology support
- Monthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform
- Life insurance (2× annual gross salary), critical illness, and disability coverage, plus vision reimbursement
- Free access to Bookster library platform for borrowing your favorite books for free
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If an applicant is permanently located outside of Romania, Veeam reserves the right to decline the application for this position.
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Senior ML Platform Engineer
We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms.
We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.
Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations.
Designing, building, and optimising components of Bolt’s ML Platform. Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time. Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance. Proactively solve technical challenges, discover and build new features, enabling develop efficiency. Support our internal users and help with troubleshooting, and turn user problems into scalable solutions. Raise our product and technical quality bar, promoting software engineering best practices.
5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering. Experience in leading and delivering complex cross-team projects. Production experience with Python, Spark, and Kubernetes. Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale. You strive for technical excellence while staying pragmatic to achieve outcomes for the users.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.
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Ready to apply?
Apply to Bolt Technology