Senior Software Architect

About the job

At Synapse, we are a forward-thinking technology services firm dedicated to fueling digital transformation and business agility for data-driven enterprises worldwide. From conceptualizing innovative ideas to deploying cloud native solutions that sync digital and real-world ecosystems, we deliver end-to-end services-including managed cloud operations, full-stack application development with AI-powered applications built through our cutting-edge AI Workbench, advanced data analytics, IoT prototyping, and hypercare operations-to help clients unlock performance, security, and scalability.

We are seeking a dynamic Backend/AI Engineer with strong expertise in Java and Python, and a passion for building modern, scalable, and intelligent systems. The role involves working on reactive and event-driven architectures, leveraging technologies like Kafka, Flink, and Redis to build real-time, high-performance applications. The ideal candidate will also have exposure to conversational AI platforms (such as Dialogflow CX), along with a solid understanding of LLMs, prompt engineering, and agent-based architectures, enabling the development of advanced AI-driven solutions.

Note: Preference will be given to candidates who are local to the job location or possess a valid Green Card.

Experience: 6-8 years

Location: Phoenix, AZ or Charlotte, NC

Work Schedule: 3 days in office/2 days remote

No. of Positions: 5

Core Skill Requirements:

• 6-8 years of strong experience in Java development, including proficiency in Spring/Spring Boot.
• 4-5 years of experience with Python, focused on backend or data-driven development.
• Deep understanding of Reactive Programming (WebFlux, etc.)
• Hands-on experience with Apache Kafka for event-driven architectures.
• Experience with Flink for stream processing and data pipelines.
• Proficiency in Redis for caching and performance optimization.
• Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
• Strong experience in building and consuming RESTful APIs.
• GraphQL knowledge is good to have, but not mandatory.

Al/Conversational Platform Exposure:

• Good understanding of Google Dialogflow CX or similar conversational AI frameworks.
• Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
• Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.

Interested candidates can share resumes at s.agrawal@thesynapses.com or can apply to this job post at their earliest.