Lead Site Reliability Engineer, ML Platform

Vinted; Oslo fylke; Híbrido; NOK 802.000 - 1.084.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

The opportunity to benefit from our

share options programe

25 working days of holiday

Access to all the tools & tech needed

Home office support: up to €540 for家具

Descripción de la vacante

Vinted is seeking a Lead Site Reliability Engineer to own the reliability strategy and architecture for our ML platform. You will mentor senior engineers and shape platform standards while guiding GPU-heavy workloads across production, training, and LLM serving.

You’ll collaborate with Data Scientists and Platform teams to translate ML innovation into production, manage a large GPU fleet, and drive scalable, reliable AI delivery at scale.

Formación

• Track record of leading technical problem-solving for complex systems.
• Deep experience with Kubernetes, Linux internals, and high-scale networking.
• Experience with programming or scripting (Go a plus).
• Choose the right tool for the job based on long-term impact.
• Excellent written and spoken English, able to communicate risks to diverse stakeholders.
• Natural coach and mentor who enables team success.
• Advantage: GPU workloads and inference frameworks (KServe, vLLM, NVIDIA Triton).

Responsabilidades

• Lead the technical roadmap for the ML Platform, ensuring training and inference infrastructure scales.
• Architect high-performance inference solutions, focusing on low-latency delivery and efficient GPU utilisation.
• Define and drive reliability standards, including SLOs, error budgets, and observability.
• Mentor and grow senior engineers within the team, fostering technical excellence and learning.
• Identify and solve systemic bottlenecks in deployment lifecycle; write RFCs.
• Oversee deployment workflows with A/B testing and shadow deployments.
• Communicate architectural risks and strategic reliability trade-offs.

Conocimientos

Go

High-scale networking

Mentoring

Leadership

English communication

Herramientas

Kubernetes

Linux

Descripción del empleo

Brief info about Vinted

Our mission is to make second‑hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre‑loved clothing and lifestyle items, giving each piece a second life – or even a third.
The Vinted Group is made up of three business units that support this mission:
Vinted Marketplace is Europe’s leading platform for second‑hand fashion and a go‑to destination for all kinds of pre‑loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
Vinted Go enhances the shipping experience with a vast network of over 500,000 pick‑up and drop‑off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high‑value pieces.
Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.

Information about the position

As Lead Site Reliability Engineer, you’ll own the reliability strategy and architectural evolution of Vinted’s ML platform. Your mission is to ensure that every machine learning model—from classic algorithms to Large Language Models (LLMs)—is trained and served with industry-leading stability and performance.

You’ll join the ML Platform team, which owns the tooling for ML/LLM development, deployment and other platform capabilities that increase ML/AI delivery speed at Vinted. You won’t just be managing services; you’ll be shaping the architectural strategy for how Vinted serves AI at scale, and you'll act as a multiplier for the engineering function by mentoring senior engineers and driving domain-wide standards.

In this role, you’ll partner closely with Data Scientists and Platform teams to translate Vinted’s ML innovation into production reality. You will be responsible for orchestrating one of the region’s largest GPU fleets—over 200 high-performance GPUs dedicated to ML model training, production inference and LLM serving, including next‑generation hardware designed for the most demanding AI workloads.

Our tech stack: Kubernetes, Terraform, Chef, Google Cloud Platform, Go, Kafka, Vespa, Redis, Vitess.

In this position, you’ll

• Lead the technical roadmap for the ML Platform, ensuring our training and inference infrastructure scales to meet Vinted’s growing ML/AI demands.
• Architect high-performance inference solutions, focusing on low-latency delivery and efficient GPU utilisation across our clusters.
• Define and drive reliability standards, including SLOs, error budgets, and sophisticated observability for model-serving systems.
• Mentor and grow senior engineers within the team, fostering a culture of technical excellence, pragmatism, and continuous learning.
• Identify and solve systemic bottlenecks in our deployment lifecycle by writing RFCs and sparring with colleagues on long-term architectural improvements.
• Oversee the integration of deployment workflows with automated experimentation patterns, such as A/B testing and shadow deployments.
• Communicate with stakeholders about architectural risks, planned changes, and strategic reliability trade-offs.

About you

• Have a track record of leading technical problem-solving for complex, domain-level systems.
• Deeply experienced with Kubernetes, Linux internals, and high-scale networking.
• Have working experience with programming or scripting (Go is a plus, but experience with other languages is also welcome).
• Choose the right tool for the job based on long‑term impact rather than personal preference.
• Excellent written and spoken English, with the ability to articulate technical risks to both technical and non‑technical stakeholders.
• Natural coach and mentor who finds more value in enabling an entire team than in writing every line of code yourself.
• Advantage: Experience with GPU workloads and inference frameworks like KServe, vLLM, or NVIDIA Triton.

Work perks

• The opportunity to benefit from our share options programe
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Private health insurance
• Mental and emotional health support through the Mindletic app
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• A dog-friendly office
• In Vilnius office: Gym & in‑house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once‑a‑week provided in‑house lunch and breakfast

Working at Vinted

Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.

The gross monthly salary range for this position is: €6.767—€9.150 EUR