Software Engineer (Backend / AI Systems)

Saroe, Inc.; New York (NY); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Opportunity to work on AI-enabled systems

Collaboration with strong engineering teams

Flexible work arrangements

Job summary

A technology consulting firm is seeking a Software Engineer to develop modern cloud-native applications. The role involves designing scalable backend services, working with FastAPI and REST APIs, and implementing real-time systems. Ideal candidates have 3–6 years of experience and a strong background in backend development, database design, and Agile methodologies. This position offers a hybrid work model and the chance to collaborate on impactful AI-driven projects.

Qualifications

• 3–6 years of backend development experience.
• Strong hands-on experience with FastAPI and REST APIs.
• Experience with message brokers like Redis, Kafka, or AWS SQS.
• Solid understanding of relational databases and schema design.
• Experience with Apache Spark for data processing or analytics.
• Experience building real-time applications using WebSockets.
• Hands-on experience integrating LLM APIs.
• Experience using Azure DevOps for CI/CD and deployments.
• Experience working in an Agile development environment.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain high-performance backend services.
• Implement event-driven and Pub/Sub architectures.
• Design and optimize relational databases for performance and scalability.
• Build real-time data streaming and analytics pipelines.
• Implement WebSocket-based real-time communication features.
• Implement and maintain CI/CD pipelines and cloud deployments.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Ensure solutions meet scalability, security, reliability, and performance standards.

Skills

Backend development

FastAPI

REST APIs

Redis

Kafka

AWS SQS

Relational databases

Apache Spark

WebSockets

LLM APIs

Azure DevOps

Agile development

Problem-solving

Communication skills

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Job description

Saroe, Inc. is a technology consulting and staff-augmentation firm helping small to mid-size and enterprise organizations build scalable, modern software solutions. We partner closely with our clients to deliver high-impact work across cloud, AI, automation, and application development.

Saroe, Inc. is supporting a client with this hiring initiative. This position will work closely with the client’s engineering team.

About the Role

We are supporting a client in hiring a skilled Software Engineer to work on modern, cloud-native, and AI-driven applications. The ideal candidate has strong backend engineering fundamentals, experience with distributed systems, and hands-on exposure to Large Language Model (LLM) integrations.

This role involves building scalable APIs, real-time systems, and data pipelines in a collaborative, Agile environment.

Key Responsibilities

• Design, develop, and maintain high-performance backend services using FastAPI and RESTful APIs
• Implement event-driven and Pub/Sub architectures using Redis, Kafka, or AWS SQS
• Design and optimize relational databases (RDS) for performance and scalability
• Build real-time data streaming and analytics pipelines using Apache Spark
• Implement WebSocket-based real-time communication features
• Implement and maintain CI/CD pipelines and cloud deployments using Azure DevOps
• Collaborate with cross-functional teams in an Agile/Scrum environment
• Ensure solutions meet scalability, security, reliability, and performance standards

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3–6 years of backend development experience
• Strong hands-on experience with FastAPI and REST APIs
• Experience with message brokers (Redis, Kafka, AWS SQS)
• Solid understanding of relational databases and schema design
• Experience with Apache Spark for data processing or analytics
• Experience building real-time applications using WebSockets
• Hands-on experience integrating LLM APIs (OpenAI, Claude, Gemini)
• Experience using Azure DevOps for CI/CD and deployments
• Experience working in an Agile development environment
• Strong problem-solving and communication skills

Good to Have

• Experience with microservices architecture
• Familiarity with Docker and Kubernetes
• Exposure to cloud platforms (Azure, AWS, or GCP)

Why This Role

• Opportunity to work on AI-enabled and distributed systems
• Exposure to modern backend and cloud architectures
• Collaborative, delivery-focused engineering environment

Why Join Through Saroe?

• Work on real-world, production-grade AI systems
• Opportunity to collaborate with strong engineering teams and modern tech stacks
• Hybrid work model with flexibility
• Saroe acts as a long-term partner, not just a placement firm