Magentic

1 month ago

Back-end Engineer

✓ 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

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

Website LinkedIn

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Magentic

1 month ago

Back-end Engineer

✓ 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: 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

Website LinkedIn