Synthflow AI
enterprise AI agent platform
SeniorPythonSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Python Software Engineer at Synthflow AI. Skills: Python, PostgreSQL, FastAPI, Kubernetes, cloud environments. Develop and maintain our backend infrastructure, focusing on scalability, performance, and reliability. Design and evolve data models and persistence layers with a focus on PostgreSQL and database best practices”
What You'll Achieve.
craft reliable, production-ready software and backend systems; focusing on scalability, performance, and reliability; focus on PostgreSQL and database best practices; upholding best practices
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience as a Python developer, shipping production systems, experience building scalable and extensible data infrastructure, Deep familiarity with relational databases, especially PostgreSQL (performance tuning, migrations, transactions), Experience building and maintaining enterprise-grade APIs with FastAPI, Hands-on experience running production workloads on Kubernetes, Experience with Argo CD (GitOps deployment workflows), Experience with GitHub Actions, Proficiency in cloud environments (preferably GCP or AWS)
Nice to Have
Ability to contribute to front-end work (not necessarily a front-end specialist), ideally with React/TypeScript, Golang experience, with willingness to contribute to our orchestration stack, which is built in Go
What You'll Do.
Develop and maintain our backend infrastructure
focusing on scalability
Design and evolve data models and persistence layers with a focus on PostgreSQL and database best practices
Build and maintain enterprise-grade APIs (e. g.
authentication/authorization
Manage deployments and environments using Kubernetes and GitOps practices (ArgoCD)
Contribute to product delivery end-to-end
including occasional work on front-end features when needed
How You'll Work.
Team & Collaboration
Engage in pair programming to improve code quality and collaboration; Conduct code reviews, providing constructive feedback and upholding best practices
Full Job Description
Synthflow AI is an enterprise AI agent platform that unifies customer operations across voice, chat, and messaging. Our agents handle routine interactions at scale so teams can focus on high-value work. - Over 20M hours of operations automated - 60% more calls answered vs. non-AI operators - 150M interactions handled, 99.99% uptime Backed by Accel, Atlantic Labs, and Singular. Trusted by 1,000+ customers. Recognized as one of the most promising companies in Germany. About the role: We’re looking for a Senior Python Engineer to craft reliable, production-ready software and backend systems, with a strong emphasis on databases, scalable APIs, and engineering fundamentals. Your responsibilities will include: - Develop and maintain our backend infrastructure, focusing on scalability, performance, and reliability. - Design and evolve data models and persistence layers with a strong focus on PostgreSQL and database best practices (schema design, migrations, query performance, indexing, transactions). - Build and maintain enterprise-grade APIs (e.g., FastAPI), including versioning, authentication/authorization, and observability. - Engage in pair programming to improve code quality and collaboration. - Manage deployments and environments using Kubernetes and GitOps practices (ArgoCD). - Conduct code reviews, providing constructive feedback and upholding best practices. - Contribute to product delivery end-to-end, including occasional work on front-end features when needed. You have: - 5+ years of experience as a Python developer, shipping production systems. - Strong experience building scalable and extensible data infrastructure. - Deep familiarity with relational databases, especially PostgreSQL (performance tuning, migrations, transactions). - Experience building and maintaining enterprise-grade APIs with FastAPI. - Hands-on experience running production workloads on Kubernetes. - Experience with Argo CD (GitOps deployment workflows). - Experience with GitHub Actions. -
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