Back-end Engineer

Magentic
London
Workplace: HybridFull timeGBP 115,000 - 125,000 annuallyFunction: Software EngineeringExperience: 6+ yearsSkills: ["Problem-solving","Communication","Collaboration","Analytical thinking"]

Design and build scalable backend services and data pipelines in a cloud environment, using Python, Docker, and Kubernetes. Integrate with enterprise ecosystems (SAP, Oracle ERP, GraphQL/REST), wrangle multi-terabyte data, and contribute across the stack to deliver production-ready features. Collaborate with executives and customers to define specs, ensure observability, and evolve AI-enabled, data-heavy solutions in an early-stage AI-first company.

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FursaFursa
Magentic
Magentic
3 months ago

Back-end Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design and build scalable backend services and data pipelines in a cloud environment, using Python, Docker, and Kubernetes. Integrate with enterprise ecosystems (SAP, Oracle ERP, GraphQL/REST), wrangle multi-terabyte data, and contribute across the stack to deliver production-ready features. Collaborate with executives and customers to define specs, ensure observability, and evolve AI-enabled, data-heavy solutions in an early-stage AI-first company.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and build scalable backend services and data pipelines, ensuring performance and reliability.
  • •Integrate with enterprise ecosystems (SAP, Oracle ERP, GraphQL/REST APIs, SFTP feeds, Kafka/Pulsar).
  • •Wrangle large, heterogeneous data sets to model, transform, and index multi-terabyte enterprise data for advanced workloads.
  • •Develop enterprise-level AI systems with support from Magentic’s AI specialists.
  • •Ship complete customer features from architecture and code to CI/CD, infra-as-code (Terraform), rollout, and user training.

Pay and Benefits

Salary: GBP 115,000 - 125,000 annually
Equity and Bonus:Equity
Perks:EquityPensionMeal AllowanceSocialsNursery

Key Requirements

  • •Have 6+ years of professional software-engineering experience.
  • •Fluent in Python and comfortable in TypeScript/JavaScript.
  • •Built and operated data-intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure).
  • •Know your way around relational, columnar, and KV/graph databases and when to use which.
  • •Integrated with real-world enterprise stacks – authentication, SSO, legacy ERPs, message queues, ETL tools.
Experience:6+ yearsEnterprise dataAISupply chainManufacturing
Skills:Problem-solvingCommunicationCollaborationAnalytical thinking
Languages:English
Tech Stack:PythonTypeScriptDockerKubernetesSAPOracle ERPGraphQLRESTSFTPKafkaPulsarTerraformOpenTelemetryAWSGCPAzureCI/CDSSOETL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Magentic
Builds an enterprise AI agent platform (‘Mages’) that discovers and delivers cost savings across global manufacturing supply chains by automating procurement, contracts, and supplier workflows.
Industry: Procurement Platforms
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: London, United Kingdom
Founded: 2024
WebsiteLinkedIn