Senior Backend Engineer

PulseRise Technologies

Senior Backend Engineer developing scalable systems for a fast-moving AI and data analytics company. Collaborating on architecture and implementation across various technical areas in a hybrid work environment.

Posted 5/30/2026full-timeNew York City • New York • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Distributed SystemsGoKubernetesMicroservicesNoSQLPythonSQL

About the role

Key responsibilities & impact

Design, build, and scale backend services in Go and Python powering autonomous intelligence for enterprise clients
Architect data ingestion and processing pipelines handling millions of data points across internal and external sources
Build and maintain APIs serving the agentic AI platform, supporting real-time decision-making at enterprise scale
Work with the graph database layer and production graph RAG system
Collaborate with ML/AI engineers to integrate predictive and prescriptive models into production workflows
Own system reliability — design for fault tolerance, observability, and performance under high-throughput conditions
Contribute to architectural decisions that shape the long-term trajectory of the platform
Mentor engineers and help establish backend engineering best practices as the team scales

Requirements

What you’ll need

5+ years of professional backend engineering experience building systems at scale
Strong Python proficiency; confidence that picking up Go would be no problem (Go experience is a plus)
Experience with distributed systems and microservices architecture
Comfort with both SQL and NoSQL databases and data processing at scale
Startup or small-team experience where you built new things with real ownership — not just maintained existing systems
Nice to have Graph database experience (a major plus — core to the stack)
Go experience
Familiarity with RAG architectures and the broader GenAI landscape
Experience with real-time data processing, streaming technologies, and concurrency at scale
Understanding of ML/AI concepts, particularly forecasting and NLP
Kubernetes and container orchestration experience

Benefits

Comp & perks

flexible work arrangements

ATS Keywords

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Hard Skills & Tools

GoPythonAPIsdistributed systemsmicroservices architectureSQLNoSQLreal-time data processingstreaming technologiesKubernetes

Soft Skills

mentoringcollaborationownershiparchitectural decision-makingfault toleranceobservabilityperformance optimization