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Platform Engineer

Magentic

London

Hybrid

Confidential

Full time

Yesterday
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Job summary

Magentic seeks brilliant engineers to architect and operate cloud-native systems for AI-driven supply chains. Join a team focused on ethical AI deployment and robust global manufacturing solutions. Enjoy competitive salaries, hybrid work, and a commitment to diversity.

Benefits

Competitive Salaries
Competitive Equity
Visa sponsorship
Hybrid London HQ
Annual team retreat

Qualifications

  • Deep understanding of IAM, networking, storage, and compute services.
  • Expert in Docker, Kubernetes, Helm, and GitOps tooling.
  • Experience building and operating high-availability, distributed systems.

Responsibilities

  • Design and evolve our multi-cloud platform using infrastructure-as-code.
  • Build and maintain high-throughput Kubernetes clusters.
  • Implement end-to-end observability for system health.

Skills

Cloud Infrastructure Mastery
Containerization & Orchestration
Infrastructure as Code
CI/CD Pipelines
Monitoring & Observability
Security Best Practices
Auditing & Policy Enforcement
Strong Language Proficiency
Service Architecture
API Design
Datastores
Asynchronous Processing
Developer Experience (DX)

Job description

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

Our mission is to make global manufacturing supply chains robust to an ever-changing 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 cloud-native 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. You’ll own everything from infrastructure design and automated delivery pipelines to observability and security, ensuring our systems are resilient, scalable, and cost-efficient for the world’s largest supply-chain organisations.

Tasks

In this role, you will:

  • Design and evolve our multi-cloud platform (Azure and AWS) using infrastructure-as-code and GitOps best practices.
  • Build and maintain high-throughput Kubernetes clusters (EKS) with secure networking, service mesh, policy enforcement, and self-service tooling for application teams.
  • Craft robust CI/CD pipelines that deliver containerised services from commit to production with automated testing, security scanning, and progressive roll-outs.
  • Implement end-to-end observability—metrics, traces, logs, and alerts—so engineers and customers alike can trust the health and performance of our agentic workers.
  • Champion platform security: secrets management, zero-trust networking, least-privilege IAM, image provenance, and compliance-ready audit trails.
  • Collaborate closely with AI & product engineers, shaping runtime environments, data pipelines, and workflow orchestration for large-scale 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; policy-as-code 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 end-to-end 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 system-level logging (SIEM-friendly 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 high-availability, distributed systems (microservices and event-driven).

  • 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 Magentic’s upside.
  • Visa sponsorship available; we prioritise UK-based candidates but welcome global talent.
  • Hybrid London HQ (3-4 days in the office) with remote flexibility.
  • Annual team retreat—a fully-funded off-site to recharge, bond, and build.

About Magentic

At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's 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 we’re backed by the best venture funds in the world.

We can’t 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 equal-opportunity 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

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