Aimed at experienced MLOps engineers who own production infrastructure end-to-end and thrive in a collaborative, platform-driven environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Truecaller via Greenhouse
Join Truecaller – The place where innovation meets impact!
Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out:
We are trusted by over 500 million active users every month across 190+ countries
We identify over 15 billion calls daily, helping users avoid spam and scams
We are powered by a team of 400+ employees from 45+ nationalities
We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in.
The role:
You'll sit in the Data Infrastructure team, which runs the GCP data and ML platform for the whole company. Vertical teams own their models and use-case logic; you own the platform they build on: training, serving, pipelines, and the tooling around them. This is a role covering company-wide ML infra, so you'll be the go-to person from day one.
What you'll do:
ML platform on GCP: Vertex AI, Kubeflow Pipelines and GKE-based training and serving infrastructure, kept reliable, secure and cost-efficient.
Paved roads for ML teams: templates, CI/CD and self-serve tooling so data scientists ship models without filing tickets.
Model lifecycle: registry, versioning, deployment, rollback, and monitoring for drift and serving health.
Data integration: feature and training data flows across BigQuery and Airflow together with the data platform engineers.
Infrastructure as code: everything managed through GitOps with Config Sync, with access following least privilege for PII and policy-tagged data.
Cost and capacity: GPU/compute usage, quotas, and spend visibility per team.
What you bring in:
5+ years in MLOps, ML platform, or platform engineering, with at least 2 years owning production ML infrastructure end-to-end.
Hands-on GCP: Vertex AI, GKE, and BigQuery in production, not only as skill tags.
Kubernetes depth: you've run and debugged clusters yourself, not just deployed to them.
Pipeline orchestration with Kubeflow Pipelines or Vertex AI Pipelines, plus Airflow.
GitOps for infrastructure (Config Sync or similar) and CI/CD for model deployment.
Python to production standard, including tests and packaging.
Proven platform thinking: you've built tooling other teams self-serve on, with docs and SLOs.
Comfortable working independently as the single owner of a company-wide platform.
It would be great if you also have:
Streaming features or online inference with Dataflow/Flink and Kafka.
Feature stores (Vertex AI Feature Store, Feast) and model monitoring tooling.
LLM serving and evaluation on Vertex AI or similar.
GPU scheduling and cost optimisation on GKE.
Experience with data governance (DataHub, policy tags) and privacy regulations such as GDPR or DPDP.
Prior experience in high-scale consumer products.
What we offer:
We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:
A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions.
Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently.
A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone.
Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future.
Come as you are:
Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you.
Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/
Sounds like a great opportunity?
We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.
We only accept applications in English
Source: Truecaller careers (Greenhouse)