Principal Fullstack Engineer/Systems Architect

STQ Partners are currently working with a high growth & fast paced AI, Computer Vision, Detection & Drones business with a leading inventory solution for a range of sectors including Warehouse, Distribution, Manufacturing, Pharmaceutical & Retail Logistics.

The Systems Architect role will be accountable for both the Fullstack and WMS integration teams. You will be responsible for stabilizing and de-risking the data and platform layer by eliminating scalability bottlenecks, retiring compliance and reliability debt.

Work to establish production-grade observability, database governance, and performance standards. Be aware of single-thread dependencies from critical systems (DB, latency-sensitive APIs, MHEV access paths etc.), and can introduce repeatable operational patterns (reviews, runbooks, RCA automation etc.). Produce a solid forward-looking scale plan that allow the team to shift from firefighting to predictable execution.

· Own Architecture, align backend, frontend, platform, and infrastructure decisions into a coherent, enterprise-grade architecture

· Replace "firefighting" with predictable execution, lead the effort to retire scalability and reliability debt, safely upgrade critical infrastructure, and reduce single-threaded   dependencies

· Set the standard for engineering technical hygiene, drive high-level decisions on testing strategies, validation guardrails, and system design concerns that directly impact   delivery speed and maintainability

· Modernize and scale existing production systems by applying database-level strategies (schema evolution, replication tradeoffs) and platform primitives (orchestration,   runtime constraints) as architectural tools

· Elevate the organization by establishing shared practices, aligning terminology, and mentoring senior talent across the engineering team

· Establish a deep understanding of data systems, latency-sensitive services, and failure modes

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· Computer Science or Engineering degree

· 8+ years of experience (outside academia)

· Previously built large, scalable architectures

· Distributed Systems experience, mastery of performance-sensitive REST APIs, caching strategies, and core distributed systems concepts.

· Relational Data Systems experience, expert-level PostgreSQL (upgrades, query tuning, replication tradeoffs, and schema evolution) and advanced SQL.

· Cloud & Containers, deep experience with Azure and/or AWS and production-grade Kubernetes/Docker

· Backend Development experience, strong production experience in Node.js and/or Python

· Reliability & Security, hands-on experience with Observability (logs, metrics, traces), CI/CD, SRE fundamentals (SLIs/SLOs), and security hygiene (IAM, secrets management).

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· 8+ years of experience (outside academia)

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