Senior Software Engineer (all genders)
Posted on July 14, 2026
Berlin
Posted on July 14, 2026
About this role
Role
- Senior Software Engineer (ML Platform) in Zalando's ML Platform team, responsible for designing, building, and scaling core ML infrastructure services that power AI-native experiences.
Responsibilities
- Own design and implementation of scalable real-time feature platforms, online serving infrastructure, and distributed ML runtime systems.
- Deliver and maintain SLOs for feature freshness, data quality, online/offline consistency, and runtime reliability; implement monitoring, observability, and safe deployment practices.
- Drive automation and self‑service (IaC, GitOps, CI/CD), reusable deployment templates, and operational tooling.
- Contribute to reusable platform integrations and deployment automation for ML systems.
- Implement identity and access management, secrets management, network isolation, and data governance.
- Act as key technical contributor for complex ML infrastructure challenges; mentor junior colleagues; raise engineering bar through reviews and knowledge sharing.
- Participate in technical design decisions, long‑term platform strategy, and collaboration with product and senior engineering leadership.
- Support hiring, onboarding, and mentoring of engineers.
Qualifications
- 5+ years experience building and operating ML infrastructure or large‑scale distributed systems on cloud platforms (AWS/EKS or equivalent).
- Strong skills in containerization (Docker), Kubernetes, and streaming/batch processing (Kafka/Kinesis, Spark/Flink).
- Hands‑on experience with data/feature engineering pipelines, schema evolution, and online/offline consistency; familiarity with feature stores (Feast, SageMaker).
- Experience designing and operating low‑latency, high‑scale distributed systems, including caching, request shaping, traffic management.
- Experience operationalizing Kubernetes‑native ML workloads (model serving, deployment, runtime) using technologies such as NVIDIA Triton, MLflow, Kubeflow, ZenML.
- Background in building or integrating developer tooling, platform automation, or workflow systems.
- Proven track record of building reliable systems with SLOs, monitoring, and deployment safeguards; incident response and capacity planning.
- Proficiency in security and governance (IAM, secrets management, network boundaries) and embedding compliance into workflows.
- Strong collaboration and communication skills.
What We Offer
- 27 days of holiday (increasing up to 30 days), plus 2 paid volunteering days.
- Employee shares program.
- 40% discount on Zalando fashion and beauty products, 30% discount on Lounge by Zalando, and external partner discounts.
- Relocation assistance (subject to agreement).
- Family services, counseling, health and wellbeing options (including Wellhub/Gympass), mental health support and coaching.
- Development opportunities through training platform and biannual peer‑to‑peer review.
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