Senior Site Reliability Engineer, ML Platform

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 Senior Site Reliability Engineer, you will be responsible for the reliability, scalability, observability, and operational excellence of Vinted’s ML Platform services across on-prem and cloud environments - including SLOs, incident response, capacity planning, automation, and participating in the on-call rotation for critical platform services. You’ll join the ML Platform team with a product mindset - delivering resilient, self-service platform capabilities for the Vinted Feature Store, embedding extraction pipelines, and dataset tooling so data science teams can move fast without operational friction. You will work closely with Data Infrastructure, Production Engineering, and ML teams across Vinted.

Here are some of the technologies we use: Kubernetes, Terraform, Chef, Google Cloud Platform, Go, Kafka, Vespa, Flink, Temporal, Vitess.

In this position, you’ll

Own the reliability and performance of the Vinted Feature Store, ensuring it meets strict latency SLOs at 400k+ feature-read RPS.

Evaluate, benchmark, and prototype next-generation distributed storage technologies as potential replacements for Vespa to support long-term online store scalability.

Build and automate reliable, self-service embedding extraction pipelines, abstracting compute and serving complexity for internal users.

Scale and operate the Dataset & Drift Platform, enabling self-service dataset discovery, versioning, and drift monitoring across hybrid training workflows.

Lead reliability work for ML Platform services (SLOs, alerting, runbooks, postmortems, toil reduction).

Build automated data governance into the platform, ensuring feature and dataset lifecycles are GDPR-compliant by design.

Treat internal ML teams as platform customers—driving ML data standards, improving developer experience, consulting on adoption, and navigating reliability trade-offs.

About you

Have a solid understanding of Linux operating systems and distributed systems architecture.

Experience building and running internal platforms or high-throughput, low-latency distributed data systems (NoSQL, Key-Value stores, Vespa, Kafka, etc.).

Proven track record with core SRE practices (SLOs, observability, incident management) paired with a platform mindset (self-service, automation, reducing developer cognitive load).

Have experience in parts of our technology stack or have worked with similar tools and platforms.

Strong programming or scripting skills with a desire to build platform services and tooling (Go is a plus, but experience with other languages is also welcome).

Excellent written and spoken English, with great cross-team consulting and communication skills.

You’re curious, motivated to grow, and eager to deepen your expertise in the concepts and technologies we use.

Advantage: experience with feature stores, stream processing, workflow orchestration (Temporal), data drift tooling, or data compliance (GDPR).

Work perks

The opportunity to benefit from our share options programme

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:

€5.100—€6.900 EUR