16 hours ago
Kaunas, LithuaniaStaff+
Responsibilities
- Lead the technical roadmap for the ML Platform and scale training and inference infrastructure for growing ML/AI demands.
- Architect high-performance, low-latency inference solutions and optimize GPU utilization across clusters.
- Define and drive reliability standards including SLOs, error budgets, and observability for model-serving systems.
- Mentor and grow senior engineers while promoting technical excellence and continuous learning.
- Identify systemic deployment bottlenecks, write RFCs, and drive long-term architectural improvements.
- Oversee deployment workflow integration with automated experimentation such as A/B testing and shadow deployments.
- Communicate architectural risks, planned changes, and reliability trade-offs to stakeholders.
Requirements
- Track record of leading technical problem-solving for complex, domain-level systems.
- Deep experience with Kubernetes, Linux internals, and high-scale networking.
- Working experience with programming or scripting; Go is a plus and other languages are welcome.
- Ability to select tools based on long-term impact rather than personal preference.
- Excellent written and spoken English with the ability to explain technical risks to technical and non-technical stakeholders.
- Natural coaching and mentoring ability, with a focus on enabling the wider team.
- Experience with GPU workloads and inference frameworks such as KServe, vLLM, or NVIDIA Triton is an advantage.
Benefits
- Share options programme, private health insurance, mental and emotional health support, and frequent team-building events.
- 25 working days of holiday and an annual individual learning budget for courses, certifications, and workshops.
- Home-office IT equipment and up to €540 for home workplace furniture.
- Up to 90 workation days per year, including up to 21 days working outside the EU.
- Hybrid work with two recommended but not enforced office days per week.
- Dog-friendly offices, Vilnius gym and in-house meals, and Kaunas lunch benefits.
- Access to tools and technology and a personal monthly shopping budget on Vinted.
Tech Stack
Categories
DevOpsSite Reliability
About Vinted
Vinted runs a consumer-to-consumer marketplace and app for buying and selling second-hand fashion and related items across Europe. It monetizes through transaction-related fees, buyer protection, and shipping services, and also operates Vinted Go for logistics and Vinted Pay for payments. Founded in 2008 and headquartered in Vilnius, Lithuania, the platform serves members in 20+ European markets.