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Platform Engineer

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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are looking for brilliant engineers to join our team at Magentic. Were pushing the boundaries of AI with nextgeneration agentic systems that can manage entire workflows. Were focusing on a three trillion dollar market of supply chains and procurement.

Our mission is to make global manufacturing supply chains robust to an everchanging world and to harness the potential of generative AI through thoughtful deployment maximising benefits while prioritising ethical use and safety.

We are searching for passionate engineers who will architect build and operate the cloudnative backbone that powers our agentic AI products. This role involves bringing our agentic workers to a diverse user base across the procurement and supply chain industry. Youll own everything from infrastructure design and automated delivery pipelines to observability and security ensuring our systems are resilient scalable and costefficient for the worlds largest supplychain organisations.

Tasks

In this role you will:

  • Design and evolve our multicloud platform (Azure and AWS) using infrastructureascode and GitOps best practices.
  • Build and maintain highthroughput Kubernetes clusters (EKS) with secure networking service mesh policy enforcement and selfservice tooling for application teams.
  • Craft robust CI/CD pipelines that deliver containerised services from commit to production with automated testing security scanning and progressive rollouts.
  • Implement endtoend observabilitymetrics traces logs and alertsso engineers and customers alike can trust the health and performance of our agentic workers.
  • Champion platform security: secrets management zerotrust networking leastprivilege IAM image provenance and complianceready audit trails.
  • Collaborate closely with AI & product engineers shaping runtime environments data pipelines and workflow orchestration for largescale model serving.
  • Continuously improve reliability and cost efficiency through chaos testing capacity planning performance tuning and proactive incident response.

Requirements

You May Be a Good Fit if You Have :

  • Core technical expertise in the following domains:

  • Cloud Infrastructure Mastery (AWS Azure): deep understanding of IAM networking storage and compute services.

  • Containerization & Orchestration: expert in Docker Kubernetes (EKS/GKE/AKS) Helm and GitOps tooling like ArgoCD or Flux.

  • Infrastructure as Code: Terraform with modular DRY patterns; policyascode via OPA/Conftest/Terragrunt.

  • CI/CD Pipelines: building and maintaining secure scalable pipelines (GitHub Actions GitLab CI CircleCI etc.) with automated testing linting security scanning and deploy gates.

  • Monitoring & Observability: Prometheus Grafana Loki OpenTelemetry ELK stack; designing endtoend visibility into systems.

  • Security Best Practices: secret management (Vault AWS Secrets Manager) image scanning least privilege access zero trust networking.

  • Auditing & Policy Enforcement: integrating runtime policies access controls and systemlevel logging (SIEMfriendly formats).

  • Backend Engineering Strengths in the following areas**:**

  • Strong Language Proficiency: advanced in Python Go or Java with clean code principles test coverage and performance awareness.

  • Service Architecture: experience building and operating highavailability distributed systems (microservices and eventdriven).

  • API Design: REST and gRPC with versioning throttling auth and schema validation (OpenAPI Pydantic Protobuf).

  • Datastores: deep knowledge of RDBMS (PostgreSQL/MySQL) NoSQL (DynamoDB Redis Cassandra) and storage optimization techniques.

  • Asynchronous Processing: familiarity with task queues (Celery Sidekiq SQS Kafka consumers) cron orchestration and idempotency.

  • Developer Experience (DX): creating internal platforms/dev portals reusable templates paved paths and golden standards.

Benefits

Compensation and Benefits

At Magentic we recognise and reward the talent that drives our success. We offer:

  • Competitive Salaries: We provide salary packages that reflect your expertise and experience
  • Competitive Equity: play a real part in Magentics upside.
  • Visa sponsorship available; we prioritise UKbased candidates but welcome global talent.
  • Hybrid London HQ (34 days in the office) with remote flexibility.
  • Annual team retreata fullyfunded offsite to recharge bond and build.

About Magentic

At Magentic we are committed to developing artificial intelligence that benefits humanity. We push the limits of AIs capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI we ensure that its development is centred around human needs and safety incorporating a wide array of perspectives to fulfil our mission. We bring expertise from OpenAI NASA and McKinsey and were backed by the best venture funds in the world.

We cant wait to have you on board.

Equal Opportunities Statement

Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equalopportunity employer. All qualified applicants will receive consideration for employment without regard to race colour religion gender gender reassignment marital or civil partnership status age disability pregnancy or maternity or any other basis as protected by the Equality Act 2010.

We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications merit and business needs.

Accommodations for Applicants with Disabilities

Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process please indicate this in your application or contact us directly

Employment Type

Full Time

Company Industry

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