Senior Backend Engineer (INTL - Europe)

Insight Global
Boston, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Boston, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Databases
Software Debugging
Distributed Systems
Elasticsearch
Python
Enterprise Messaging Systems
NoSQL
Performance Tuning
Search Technologies
SQL Databases
Strategies of Testing
Cloud Platform System
Real Time Systems
Flask
Large Language Models
Generative AI
Backend
Cloudformation
FastAPI
Event Driven Architecture
Containerization
Kubernetes
Infrastructure Automation Frameworks
REST
Amazon Web Services (AWS)
Terraform
Serverless Computing
Docker
Microservices

Job description

Insight Global is hiring a Senior Backend Engineer to support one of our large consulting clients. this role will be supporting cutting-edge projects within the AI space and sitting remotely in Europe.

Day-to-Day

-Design, develop, and deploy scalable backend services and APIs supporting a high-performance distributed application

-Build and optimize microservices architecture and event-driven systems to support real-time processing [Backend

-Develop server-side logic using Python (FastAPI/Flask) and integrate with cloud-based infrastructure (AWS)

-Implement and maintain messaging systems and streaming pipelines to support application workflows

-Collaborate with cross-functional teams across global time zones to deliver production-ready features

-Execute testing strategies (unit, integration, load) and resolve performance or reliability issues

-Communicate technical progress clearly to both engineering and business stakeholders

Requirements

8-10+ years of backend engineering experience in production environments

-Strong Python experience building REST APIs (FastAPI, Flask, or similar)

-Experience designing and deploying microservices in containerized environments (Docker, Kubernetes)

-Strong understanding of cloud platforms (AWS) and serverless components (Lambda, SQS, Step Functions)

-Experience with databases (SQL + NoSQL) and distributed systems architecture

-Hands-on experience with event-driven architectures and messaging systems

-Strong debugging, performance optimization, and system design skills

-Ability to communicate technical concepts and progress clearly to non-technical stakeholders -Experience with GenAI applications or RAG-based systems

-Exposure to AI-first development environments, including working alongside LLM systems or agentic workflows

-Familiarity with infrastructure-as-code tools (Terraform, CloudFormation)

-Experience with distributed search technologies such as Elasticsearch

-Experience working in globally distributed engineering teams

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