Related skills
nlp aws python kubernetes gcp📋 Description
- Set technical direction and own architecture roadmap.
- Turn ambiguous problems into concrete technical strategies; ship end-to-end.
- Design and deliver production-grade, scalable systems.
- Lead cross-team technical initiatives and drive RFCs.
- Own monitoring and reliability: SLOs/SLIs, production issues.
- Mentor engineers and raise the engineering bar across teams.
🎯 Requirements
- Strong Python experience; shipped production code in two languages.
- AI/ML in production; NLP pipelines and LLM integration.
- Kubernetes and cloud infra (AWS/GCP/Azure); CI/CD.
- Observability, monitoring, and incident response.
- Experience with content processing, enrichment, or search systems.
- Mentoring, RFCs, and cross-team collaboration.
🎁 Benefits
- Autonomy with accountability.
- Opportunity to impact AI-driven market intelligence.
- Mentorship and engineering excellence culture.
- Work with a global engineering team.
- Inclusive, equal-opportunity workplace.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!