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APM Terminals
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Software Engineer

Software Engineer

APM Terminals

3 - 6 years

6 - 10 Lacs

bengaluru

Posted:3 hours ago| Platform:

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Skills Required

automation networking data modeling wan lan snmp open source middleware mpls sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Scalable Instrumentation and Collection Engineering : Ability to discover, collect and measure availability, performance and health of network elements in real-time using industry protocols (SNMP, Netconf, Telemetry etc).
Product Engineering : Design and develop scalable systems which can operate in a distributed environment (edge to cloud) and are highly available. Produce detailed system design blueprints capturing data modeling, API design and networking aspects clearly.
Realtime Streaming and Intelligent Operational Insights : Expertise building and managing large pipelines of real-time structured datasets (netflow, snmp, traces, logs, json etc) and ability to develop solutions for enrichment, extraction and correlation (CEP etc) using frameworks like Apache Spark/Flink or similar.
Platform Engineering and CI/CD: Expertise in Cloud platforms (AWS, Azure or GCP) infrastructure design and cost optimization. Expertise in building CI/CD pipelines for deployments across containerized and physical hardware.
Integration with Core Network Stack : Apply AI capabilities across domains such as:
- WAN: Internet | IP/MPLS | Next-Gen/SD WAN
- LAN: DC Networking | SDN | Fixed & Wireless
- Perimeter: Load balancers | NG Firewalls | Security Service Edge

Specific Job Requirements

We are looking for a Software Engineer with 3+ yrs experience possessing product mindset and passion for building AI-driven solutions that transform how Maersk manages, operates, and understands global network infrastructure.

You will:

Collaborate closely with Network SMEs, Product Owners, and Engineers to identify AI opportunities in telemetry analysis, event correlation, configuration analysis, and operational summarization.

Build GenAI-powered tools to enhance observability, enable root cause analysis, and provide intelligent insights through natural language interfaces.

Develop and deploy agent-based systems that integrate with network management platforms and decision-support systems.

Lead the design and implementation of large-scale telemetry, network structured data and logs.

Implement best practices in data modelling, system design, architecture, and security in production-grade environments.

Continuously evaluate and experiment with emerging frameworks and tools for use in network monitoring and automation space.

Follow secure coding practices, maintain high-quality code, and participate in peer reviews and testing.

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