Technical Lead, Central AI Lab

Job not on LinkedIn

🕒 May 5

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jonas Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Jonas Software is a prominent acquirer of vertical market software companies, with a rich history of over 20 years. The company focuses on mission-critical software solutions across various industries, aiming to provide business tools and a network for growth. Jonas Software operates under a decentralized structure, allowing acquired companies to maintain their autonomy while tapping into Jonas's extensive experience and best practices. They adhere to a 'buy & hold forever' strategy, ensuring long-term stability and a permanent home for acquired businesses. With more than 130 successful acquisitions under its belt and being part of Constellation Software, Jonas Software emphasizes preserving the legacy and culture of the companies it acquires, fostering a culture of sharing and leveraging expertise in vertical market software.

📋 Description

• Build and ship production-grade AI capabilities that can be reused across Vesta Business Units (BUs) • Lead technical discovery with BUs: constraints, data readiness, integration points, and security requirements • Support adoption of AI-DLC methodology across Portfolio BUs by leading by example • Build full-stack capabilities: APIs, integrations, data flows, UI surfaces where required • Establish CI/CD patterns for AI-enabled systems • Drive reliability: observability, cost controls, latency, fallbacks, and safe failure modes • Operationalize AI-DLC/AI-SDLC practices: spec-first delivery, eval harnesses, quality gates, and auditable artifacts

🎯 Requirements

• 7+ years building and operating production software systems (SaaS, enterprise, or similar) • Strong SDLC fundamentals: testing, code review, CI/CD, release management, incident thinking • Proven ability to design secure systems: authN/authZ, secrets management, audit/logging, least privilege • Strong backend engineering (APIs, data stores, async patterns) and comfort going "full stack" when needed • Cloud and DevOps competence (AWS and/or Azure; containers; infrastructure automation) • Practical experience integrating AI/LLM capabilities into products or workflows

🏖️ Benefits

• Occasional UK travel for BU workshops, onboarding, and group events • Optional international travel (USA/Canada/South America) for portfolio events