Senior Software Developer - Industrial AI Platform

SymphonyAI · Artificial Intelligence · Information Technology · Python · 1 day ago
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Salary
≈ $18k – $41k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp

First seen by Alion on Oct 29, 2026.

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SymphonyAI

Explore AI applications for your business. SymphonyAI combines predictive, generative, and agentic AI for powerful, ready-to-deploy business applications.
symphonyai.com · Bengaluru · UTC+05:30 · Information Technology · Law Enforcement · Fraud Detection · Artificial Intelligence · Industrial AI · Retail & Commerce AI · Financial AI · Predictive Analytics · 201-500 employees · Est. 2017
Tech stack of SymphonyAI
Backed by SAIGroup

About the Role :

We are seeking an experienced Senior Software Engineer to join our Industrial AI Platform Engineering team. This role will be instrumental in advancing the IRIS Foundry Flows platform, enabling industrial enterprises to build, deploy, and scale AI-powered workflows across diverse environments including AWS, GCP, Azure, and on-premises deployments.

Key Responsibilities :

- Design, develop, and maintain scalable backend services powering the IRIS Foundry Flows platform.

- Build robust APIs, microservices, and distributed systems to support workflow orchestration and data processing.

- Develop reusable platform components that accelerate feature delivery across multiple product teams.

- Enable deployment flexibility across AWS, GCP, Azure, and on-premises environments.

- Design cloud-agnostic architectures that support diverse customer infrastructure requirements.

- Drive improvements in platform stability, performance, and fault tolerance.

- Contribute to technical architecture decisions and long-term platform roadmap.

Tech Stack & Requirements :

- Bachelor's degree in Computer Science, Information Technology, or related field.

- 6+ years of hands-on software development experience.

- Strong proficiency in Python.

- Proven experience building and supporting backend distributed systems and microservices architectures.

- Hands-on experience with containerization and orchestration tools (Docker, Kubernetes, Helm) and Infrastructure as Code.

- Experience with AWS cloud services and cloud-native application development.

- Deep understanding of REST APIs, asynchronous processing, and event-driven architectures.

- Solid foundation in software design principles, data structures, algorithms, and system design.

Preferred Qualifications :

- Experience designing multi-cloud or cloud-portable platforms.

- Experience with Temporal.

- Knowledge of Generative AI, Conversational AI, or AI platform development.

- Experience with observability, monitoring, and platform reliability engineering.

Skills

Python, Microservices Architecture, AWS, RESTful API, Distributed Systems, Temporal, Docker, Kubernetes, Native Cloud, Generative AI, Artificial Intelligence

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