MTS III, Software Professional
Panasonic · Pune
- Experience3–7 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted21 Sept 2026
About Panasonic
Panasonic is hiring in Pune in semiconductors electronics. This role looks for around 3+ years of experience.
Skills
- Python
- Go
- APIs
- microservices
- databases
- distributed systems
- software architecture
- Git
- AI/LLM tools
- LLMs
- prompt engineering
- AI agents
- tool calling
- AWS
- cloud-native application development
- GitLab CI/CD
- Docker
- Kubernetes
- EKS
- production troubleshooting
- logging
- monitoring
- observability
- incident management
- root-cause analysis
The role
A backend engineer at a semiconductor and electronics company builds cloud-based media asset platforms and applies distributed systems and Generative AI Engineer practices to secure content delivery, with AWS and Kubernetes supporting production operations. The role also uses Python and GitLab CI/CD.
Full job description
Job Summary
We are seeking a highly skilled Software Engineer to join our team in building a cloud-based platform for managing, processing, and distributing media assets. This role involves working on cutting-edge technologies for multimedia systems, streaming protocols, and secure content delivery.
Responsibilities
Professional-level proficiency in Python or Go.
Strong software engineering fundamentals and experience building production-grade applications.
Good understanding of APIs, microservices, databases, distributed systems, and software architecture.
Experience with Git and modern software development practices.
Hands-on experience using AI/LLM tools for software development.
Experience using AI for coding, debugging, refactoring, documentation, testing, and code review.
Ability to validate AI-generated code for correctness, security, performance, and maintainability.
Understanding of LLMs, prompt engineering, AI agents, and tool calling.
Experience with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, Kilo Code, or equivalent is desirable.
Experience with AWS and cloud-native application development.
Experience with GitLab CI/CD and automated software delivery.
Understanding of Docker and Kubernetes/EKS.
Experience with deployment, logging, monitoring, observability, and production troubleshooting.
Familiarity with AWS services such as EKS/ECS, S3, Lambda, API Gateway, IAM, CloudWatch, and Bedrock.
Experience troubleshooting production systems.
Understanding of logs, metrics, monitoring, alerts, incident management, and root-cause analysis.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.