Senior Software Engineer, Network Operational Intelligence
A.P. Moller - Maersk (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 4 Sept
Reach people at A.P. Moller - Maersk
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at A.P. Moller - Maersk you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design and development of network operations intelligence tools incorporating AI and automation to enhance network observability and management globally.
- Own end-to-end delivery of network tooling services including telemetry, topology, configuration management, and AI-augmented operations with scalable APIs and microservices.
- Collaborate with cross-functional stakeholders to implement generative AI, LLM-based platforms, and agentic AI systems for autonomous network operations and intelligent diagnostics.
Minimum Requirements
- 8+ years experience as a software engineer with demonstrated expertise in Python platform development and LLM/AI applied engineering.
- Strong experience in backend frameworks (FastAPI, Flask, Django), RESTful API design, and microservices architecture with containerization (Docker).
- Proficiency with relational databases and ORMs (PostgreSQL, MySQL, SQLite, SQLAlchemy, Django ORM), and CI/CD tooling (GitHub workflows, Jenkins).
- Work Experience Required: 8+ years in software engineering roles with applied AI/LLM systems development.
Ideal Candidate Profile
- Experienced in architecting AI-driven, agentic autonomous systems integrating network monitoring data and large-scale telemetry for operations intelligence.
- Capable of driving architectural decisions, mentoring engineers in best practices around software engineering and LLM implementation at production scale.
- Comfortable working in a global, complex technology transformation environment bridging network domain expertise with advanced AI and cloud-native software development.