Backend Platform Engineer

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Infinity Constellation

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

Infinity Constellation is the first AI Holding Company dedicated to helping elite founders build AI companies that can operate at unprecedented speeds. By leveraging advanced AI platforms, Infinity Constellation aims to reinvent traditional venture models, focusing on efficient structures that allow businesses to generate profits rapidly with minimal resources. The company supports its portfolio through various operational services, enabling founders to scale and thrive in the rapidly evolving AI landscape.

📋 Description

• Build the versioned REST/OpenAPI contract and modular TypeScript BFF, with stable success/error envelopes, generated TypeScript clients, and contract-drift CI gates. • Integrate Cognito identity with opaque application sessions, and implement admission, invitations, personal/team accounts, memberships, capabilities, explicit account switching, and guarded account conversions that preserve asset identity and history. • Implement the minimal separate operator admission service and audited break-glass workflows, keeping customer and operator identities, sessions, routes, roles, and audit paths independent. • Design PostgreSQL domain models, migrations, forced-RLS authorization, transaction-bound authorization contexts, and immutable account_id constraints, proving cross-account denial through BFF tests and direct runtime-role SQL tests. • Deliver the durable asynchronous operation path: idempotent acceptance, typed payment-disabled beta entitlements, transactional outbox, account-fair SQS dispatch, worker lease/heartbeat/fencing, result commit, retry, cancellation, and DLQ/redrive. • Implement durable progress delivery: append-only operation events, resumable SSE, and cursor polling with no lost or duplicated logical events. • Maintain usage, provider, and observability foundations: exactly-once logical usage ledgers, safe (customer-content-free) logs, metrics, and traces, and the worker and operation signals Platform dashboards need. • Support current-and-prior compatibility semantics across database, OpenAPI, events, queues, and worker callbacks, including expand/deploy/backfill/verify/contract changes and rollback. • Build private Python worker workflows and typed pydantic-ai agent boundaries, and hand over API documentation, ADRs, threat models, tests, fixtures, runbooks, and a dependency-aware plan for the next B2C vertical.

🎯 Requirements

• TypeScript backend engineering: strong Node.js and TypeScript experience building modular production APIs; Fastify, JSON Schema, generated OpenAPI, and schema-first tooling such as TypeBox strongly preferred. • PostgreSQL security and data modeling: advanced schema design, migrations, transactions, row-level security, database roles, composite foreign keys, append-only ledgers, and concurrency control. • Identity and authorization: integrating Cognito or another OIDC provider while keeping product admission, account membership, and capabilities in authoritative application state. • Distributed work execution: transactional outbox, SQS or comparable queues, idempotency, at-least-once delivery, leases, heartbeats, fencing tokens, cancellation, retries, and DLQ recovery. • Revisioned domain design: immutable revisions, compare-and-swap updates, ETags, lineage, state machines, and evidence-preserving lifecycle transitions. • Python worker integration: modern typed Python, uv, Pydantic, pydantic-ai, and clear service contracts between TypeScript application code and private Python workers. • AI trust boundaries: typed model tools and outputs, server-resolved authority, bounded retrieval context, citation validation, and fail-closed persistence of model proposals. • Testing and operability: TDD, contract and integration tests, adversarial tenant-isolation tests, failure drills, OpenTelemetry instrumentation, and end-to-end execution against realistic services.

🏖️ Benefits

• High-impact work at the intersection of AI and critical infrastructure regulation • Direct customer exposure and a seat at the table when we decide what to build • Small team with outsized influence; your field learning shapes the product roadmap • Modern AI-native development environment (Claude Code, Cursor, multi-model orchestration) • Remote-first • Competitive compensation