Dein persönlicher KI-Karriere-Agent
Designing and building backend services, APIs, and data flows for infrastructure consulting. Strong Python programming skills and ownership of production systems required. On-site work with a culture of trust and high standards.
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Anforderungen
- Strong software engineering fundamentals
- Ownership of production systems
- Depth in one technical area
- Computer Science or related degree or equivalent experience
- Strong Python programming skills
- Experience building backend services, APIs, or software applications
- Familiarity with FastAPI, Flask, or Django
- Ownership of technically challenging production systems
- Ability to explain personal contributions and decisions
- Strong system design and engineering judgment
- Experience making practical trade-offs in architecture, data models, reliability, scalability, or performance
- Experience diagnosing difficult production problems
- Strong communication skills
- Strong collaboration skills
- Ability to turn loosely defined problems into practical solutions
- Ability to drive delivery with limited direction
- Sound software development practices
- Automated testing experience
- Code review experience
- Version control experience
- CI/CD experience
- Focus on maintainable code
- Focus on reliable production delivery
- Experience bringing AI/ML capabilities into production
- Model deployment and monitoring experience
- ML pipelines experience
- Model serving experience
- LLM-powered applications experience
- Retrieval-augmented generation (RAG) experience
- Cloud and platform engineering experience with AWS, Azure or GCP
- Docker or Kubernetes experience
- Infrastructure as Code experience (e.g., Terraform)
- Deployment pipelines experience (e.g., GitHub Actions)
- Depth in distributed systems
- Depth in event-driven systems
- Depth in asynchronous processing
- Depth in data-intensive applications
- Depth in high-throughput applications
- Observability experience
- Performance tuning experience
- Experience with Prometheus, Grafana, ELK, or Datadog
- Optimizing CPU, GPU, or distributed ML workloads
- Experience in startups, scaleups, or greenfield development
- Familiarity with engineering software, simulation, optimisation, or building design automation
Aufgaben
- Design and build backend services, APIs, and data flows
- Evolve system architecture
- Make trade-offs in database design, schema evolution, scalability, and performance
- Own substantial work from problem definition through production support
- Improve reliability and resolve difficult issues
- Integrate models into products
- Build deployment and monitoring capabilities
- Optimize AI workloads
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Full-time position
- On-site position
- Culture of high standards
- Culture of trust
- Culture of ownership
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens AECOM erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei AECOMÜber das Unternehmen
Das Unternehmen ist der weltweit führende Anbieter von Infrastrukturlösungen, der sich für eine bessere Welt einsetzt.
Nejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
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