Principle Platform Engineer - Python Expert
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Role details
Tech stack
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Job description
- A single-node on-prem control plane deployable into a customer environment.
Backend services for zones, assets, phantoms, alerts, response state, contracts, audit events and evidence generation.
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APIs used by the portal, watchdog, connector layer and detection engine.
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A PostgreSQL-backed data model that can evolve towards the full Merkle Ledger, Trust Contract and Audit architecture.
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A secure event pipeline from watchdog/connector signals through alert generation and response workflows.
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The first hash-chained audit log and evidence export primitives needed for enterprise review.
Core responsibilities
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Translate the Praesidius engineering specification into a pragmatic POC architecture and implementation plan.
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Design and build backend services, APIs and internal module boundaries for the on-prem control plane.
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Own the PostgreSQL schema for assets, zones, phantoms, alerts, response state, policies, audit records and early trust-
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contract objects.
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Build robust ingestion and processing paths for watchdog events, phantom interactions, connector data and response
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actions.
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Implement authentication, authorisation and RBAC foundations in collaboration with the CTO and frontend engineer.
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Implement the first audit-chain primitives: structured audit entries, predecessor hashing, chain head signing hooks and
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evidence export APIs.
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Create engineering standards for code quality, testing, error handling, logging, security review and documentation.
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Work with the infrastructure engineer to package the control plane as an on-prem Docker Compose deployment with a clear
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path to Kubernetes later.
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Work with the detection engineer to ensure alert and response workflows are deterministic, recoverable and explainable.
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Support investor, design partner and Catapult/Innovate UK technical conversations where backend architecture or
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implementation credibility is relevant.
Requirements
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8+ years of professional software engineering experience, including ownership of production backend systems.
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Expert-level Python engineering experience. FastAPI, Pydantic, asyncio, SQLAlchemy or equivalent frameworks are highly
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relevant.
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Strong PostgreSQL experience, including schema design, migrations, indexing, transactional semantics and operational
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performance.
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Experience designing secure APIs and backend systems that need to be reliable, observable and auditable.
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Experience with Docker-based deployments and practical Linux systems engineering.
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Strong understanding of distributed-system trade-offs, even though the first POC is intentionally single-node.
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Ability to write clear technical documentation, decision records and implementation plans.
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Comfortable working in a small founding team where architecture, code, debugging, customer context and hiring input all overlap.
Desirable experience:
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Cybersecurity product experience in EDR, XDR, SIEM, SOAR, Zero Trust, identity security, network security or deception technology.
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Experience implementing cryptographic data structures, signed records, PKI integrations or tamper-evident audit systems.
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Experience with Microsoft security ecosystems such as Defender for Endpoint, Microsoft Graph, Entra ID or Sentinel.
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Experience building on-prem enterprise software, appliances or products that run inside customer-controlled environments.
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Previous founding engineer or technical lead experience in an early-stage company
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