Platform Engineer - SAP Business Technology Platform Big Data Team (Sofia, BG, 1407)

SAP
Sofia
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 2-5 yearsSkills: ["Problem-solving","Analytical thinking","Collaborative mindset","Proactive mindset","Continuous improvement"]

Design, implement, and operate Big Data services for SAP Business Technology Platform—Kafka, Cassandra, and Spark—across multi-cloud environments. Build and automate provisioning, configuration, and lifecycle operations, and deliver resilient, cloud-agnostic deployments. Improve platform capabilities through Kubernetes runtime optimization, SRE practices (SLIs/SLOs and incident response), and data-driven monitoring/telemetry to enhance performance, reliability, and efficiency. Participate in on-call support for critical global services.

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FursaFursa
SAP
SAP
2 hours ago

Platform Engineer - SAP Business Technology Platform Big Data Team (Sofia, BG, 1407)

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Last checked: 2 hours agoStatus: Live

Job Summary

Design, implement, and operate Big Data services for SAP Business Technology Platform—Kafka, Cassandra, and Spark—across multi-cloud environments. Build and automate provisioning, configuration, and lifecycle operations, and deliver resilient, cloud-agnostic deployments. Improve platform capabilities through Kubernetes runtime optimization, SRE practices (SLIs/SLOs and incident response), and data-driven monitoring/telemetry to enhance performance, reliability, and efficiency. Participate in on-call support for critical global services.
Location: Sofia
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and operate Big Data services (Kafka, Cassandra, Spark) for SAP BTP enterprise-scale cloud solutions.
  • •Build and automate provisioning, configuration, and lifecycle operations for Big Data components and deployment workflows.
  • •Design and implement resilient, cloud-agnostic Big Data services across hyperscale environments (AWS, GCP, Azure, Alibaba Cloud, SAP Cloud).
  • •Enhance Kubernetes runtime capabilities, including optimization and automated scaling.
  • •Apply SRE practices using SLIs/SLOs, monitoring/telemetry, and on-call incident response for globally distributed services.
Travel: Low travel

Key Requirements

  • •Background in computer science, engineering, or equivalent practical experience.
  • •2-5 years of professional experience in cloud computing, distributed systems, or platform engineering.
  • •Knowledge of Kubernetes internals, container runtimes, and Linux systems engineering.
  • •Proficiency in Go or Python.
  • •Understanding of system design, networking, scalability, and performance optimization.
Experience:2-5 yearsCloud computingDistributed systemsPlatform engineeringMulti-cloud
Skills:Problem-solvingAnalytical thinkingCollaborative mindsetProactive mindsetContinuous improvement
Languages:English
Tech Stack:KafkaCassandraSparkKubernetesContainer runtimesLinuxGoPythonAmazon Web ServicesAWSMicrosoft AzureAzureGoogle Cloud PlatformGCPAlibaba CloudOpenStackSRESLIsSLOsTelemetry

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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