Zalando

1 week ago

Senior Software Engineer (all genders)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Build and scale Zalando’s ML Platform powering AI-native experiences, including real-time feature platforms, low-latency online serving, and Kubernetes-native ML runtime infrastructure. Own design and implementation of reliable, reusable services with SLO-driven monitoring and safe deployment. Drive automation via IaC/GitOps/CI/CD, improve developer tooling and platform integrations, and contribute to security, governance, incident response, and incident-safe operational practices. Mentor peers and raise engineering standards.

Location: Anywhere

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement 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 using monitoring and observability.
•Drive automation and self-service with IaC, GitOps, CI/CD, reusable deployment templates, and operational tooling.
•Implement platform integrations and deployment automation to improve ML system interactions with developer tooling and internal AI capabilities.
•Contribute to security and governance (IAM, secrets management, network isolation, data governance) and mentor peers while supporting incident response and capacity planning.

Pay and Benefits

Perks:Paid VolunteeringEquityRelocationHealth InsuranceTraining Platform

Key Requirements

•5+ years building and operating ML infrastructure or large-scale distributed systems on a cloud platform (AWS/EKS or equivalent).
•Strong containerization and orchestration skills with Docker and Kubernetes, plus streaming/batch processing (Kafka/Kinesis, Spark/Flink).
•Hands-on experience with data/feature engineering pipelines, schema evolution, and online/offline consistency, including feature stores (e.g., Feast, SageMaker).
•Experience designing and operating low-latency, high-scale distributed systems with throughput targets (caching, request shaping, traffic management).
•Hands-on experience operationalizing Kubernetes-native ML workloads using tools such as NVIDIA Triton, MLflow, Kubeflow, or ZenML.

Experience:5+ yearsML infrastructureDistributed systemsCloud platformsKubernetesStreaming & batch processing

Skills:Technical judgmentCollaborationCommunicationMentoringIncident response

Tech Stack:AWSEKSKubernetesDockerKafkaKinesisSparkFlinkFeature StoreFeastSageMakerNVIDIA TritonMLflowKubeflowZenMLGitOpsIaCCI/CDSLOsIAM

Company Brief

Zalando

Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Berlin, Germany

Founded: 2008

Website LinkedIn

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Zalando

1 week ago

Senior Software Engineer (all genders)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement 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 using monitoring and observability.
•Drive automation and self-service with IaC, GitOps, CI/CD, reusable deployment templates, and operational tooling.
•Implement platform integrations and deployment automation to improve ML system interactions with developer tooling and internal AI capabilities.
•Contribute to security and governance (IAM, secrets management, network isolation, data governance) and mentor peers while supporting incident response and capacity planning.

Pay and Benefits

Perks:Paid VolunteeringEquityRelocationHealth InsuranceTraining Platform

Key Requirements

•5+ years building and operating ML infrastructure or large-scale distributed systems on a cloud platform (AWS/EKS or equivalent).
•Strong containerization and orchestration skills with Docker and Kubernetes, plus streaming/batch processing (Kafka/Kinesis, Spark/Flink).
•Hands-on experience with data/feature engineering pipelines, schema evolution, and online/offline consistency, including feature stores (e.g., Feast, SageMaker).
•Experience designing and operating low-latency, high-scale distributed systems with throughput targets (caching, request shaping, traffic management).
•Hands-on experience operationalizing Kubernetes-native ML workloads using tools such as NVIDIA Triton, MLflow, Kubeflow, or ZenML.

Experience:5+ yearsML infrastructureDistributed systemsCloud platformsKubernetesStreaming & batch processing

Skills:Technical judgmentCollaborationCommunicationMentoringIncident response

Tech Stack:AWSEKSKubernetesDockerKafkaKinesisSparkFlinkFeature StoreFeastSageMakerNVIDIA TritonMLflowKubeflowZenMLGitOpsIaCCI/CDSLOsIAM

Company Brief

Zalando

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Berlin, Germany

Founded: 2008

Website LinkedIn