Auf einen Blick
- Aufgaben: Entwickle innovative AI-Architekturen und arbeite direkt mit Kunden zusammen.
- Unternehmen: ENDGAME, ein führendes Unternehmen für KI-gestützte Beratung und Produktentwicklung.
- Vorteile: Wettbewerbsfähiges Gehalt, bis zu 22 Tage Urlaub, hochwertige Ausstattung und Lernbudget.
- Weitere Informationen: Remote-first Arbeitsumgebung mit hervorragenden Karrierechancen und gelegentlichen Reisen.
- Warum dieser Job: Gestalte die Zukunft der KI und arbeite an spannenden Projekten mit echten Auswirkungen.
- Qualifikationen: Mindestens 8 Jahre Erfahrung in der Softwareentwicklung und 3 Jahre in Architekturentscheidungen.
Das prognostizierte Gehalt liegt zwischen 63000 - 77000 € pro Jahr.
About ENDGAME ENDGAME is an AI-native consulting and product development firm.
Erhöhen Sie Ihre Chancen auf eine erfolgreiche Bewerbung für diese Stelle, indem Sie sicherstellen, dass Ihr Lebenslauf und Ihre Fähigkeiten gut zueinander passen.
Small, senior teams amplified by purpose-built AI tooling deliver strategy and execution in the same hands at software-company economics.
We help companies find where AI brings real value, prove it works, and scale the results across the organization.
The Role You'll design technical approaches for AI-first enterprise products.
You'll make architecture decisions that balance capability, cost, risk, and time.
You'll help teams build what you design.
This is hands-on.
You will need to write code, build prototypes, and review pull requests, when needed.
You don't hand off diagrams.
You'll work directly with clients.
You learn their systems, explain trade-offs, and recommend solutions that fit their constraints.
What You'll Do Understand : Map existing landscape of capabilities, business processes, services to gather full in detail understanding of the product.
Design : Create system architectures—components, integrations, data flows, infrastructure.
Choose technologies based on what works, not what's newest.
Weigh cost against speed, risk against capability, then recommend.
Set performance targets: response times, uptime, load capacity, recovery.
Build : Write code to test designs before teams commit to them.
Build prototypes to check assumptions early.
Review code to catch problems before production.
Guide : Unblock engineers during implementation.
Make technical calls when the path isn't clear.
Teach others how to think about architecture.
Document decisions so others can maintain what you build.
Client Work : Map existing systems, constraints, and requirements.
Turn business needs into technical plans.
Explain options in plain terms.
Review systems after launch and recommend improvements.
Manage Risk : Assess security, compliance, and operations before building.
Design for regulated environments.
Identify failure points and design around them.
Tools preference for serverless/edge (Cloudflare Workers, Durable Objects) AI/ML: Model integration, Azure Open AI, AWS Bedrock, custom deployments
Documentation: ADRs, design docs, runbooks, technical specifications
Collaboration: Direct client workshops, technical presentations, stakeholder alignment Required Skills 8+ years building software; 3+ years making architecture decisions Cloud platform experience (AWS, Azure, or GCP) Modern infrastructure knowledge: containers, serverless, infrastructure as code AI/ML integration experience: models in applications, data pipelines, monitoring, latency, versioning Enterprise experience: security, compliance, legacy integration, data governance Ability to explain technical concepts to executives and business constraints to engineers Current coding skills in production environments Nice to Have Regulated industry experience (healthcare, finance, government) AI/ML platform experience (Azure Open AI, AWS Bedrock, custom deployments) Cost management skills: cloud spend, build vs.
buy analysis, total cost of ownership Edge computing, Io T, or distributed systems background Perks and Benefits Competitive salary + bonus.
Up to 22 days PTO; public holidays (location-based); high-end laptop + tools; learning budget; extensive AI tooling.
Remote-first (GMT-1 to GMT+4) with occasional travel.
The Process Getting to know each other (30m) Technical discussion (45m) System design session (60–90m) Offer → No architecture astronauts. xayajpt
No trivia.
Forward Deployed Architect Arbeitgeber: endgame
Endgame ist ein hervorragender Arbeitgeber, der eine dynamische und innovative Arbeitsumgebung bietet, in der Ingenieure an bedeutenden Projekten arbeiten können. Mit einem starken Fokus auf AI-native Entwicklung und modernsten Coding-Tools ermöglicht Endgame seinen Mitarbeitern, täglich 15-20 Releases durchzuführen und dabei ihre Fähigkeiten kontinuierlich zu erweitern. Die Unternehmenskultur fördert Zusammenarbeit und Kreativität, während attraktive Vorteile wie wettbewerbsfähige Vergütung, flexible Arbeitszeiten und Weiterbildungsmöglichkeiten dazu beitragen, dass sich die Mitarbeiter geschätzt und unterstützt fühlen.
