Software Engineer / Senior Software Engineer

Why this job matters

The Network Operational Intelligence Engineering function is essential to our transformation, it is a central team within Network Architecture & Engineering, responsible for the delivery of product roadmaps, technical vision and quality across Fulfilment and Assurance that underpin our network and perimeter capabilities and products.

Reporting to the Senior Engineering Manager you will serve as a Senior Software Engineer, ensuring that our systems and tools realise business value. Your role is responsible for technical design and delivery of solutions across the network tools and applications landscape from Planning to analytics driven AIOps. All built to industry leading standards and running seamlessly across various cloud and on-prem platforms, allowing frictionless and seamless operations of our network and perimeter platforms.

Scope

The Network Operational Intelligence team at Maersk is expanding into AI-driven network operations, focusing on building intelligent, autonomous systems that enhance the management of data networks across Core, Edge, and Cloud locations (offices, warehouses, terminals, vessels, data centres, cloud environments, etc.) and the perimeter services that secure them.

This role focuses on building network monitoring solutions through open-source tooling, Generative AI and integrations into network elements/managers spread across various geographies, location and technology domains (WAN/LAN/Cloud etc).

Key areas include:

• Scalable Instrumentation and Collection Engineering: Ability to build and manage a robust collection layer by interacting with network elements and EMS/NMS systems. Expertise in utilizing various collection technologies, including API clients, SNMP, traps, telemetry (Prometheus collectors), webhooks, and log-based collection (rsyslog + Promtail). Design and develop scalable systems that can operate in a distributed environment (edge to cloud) and are highly available.
• Real-time Streaming and Intelligent Operational Insights: Expertise in building and managing large-scale, real-time data pipelines. Strong knowledge of streaming platforms like Apache Kafka and processing frameworks such as Apache Flink or Spark to handle and enrich structured and unstructured datasets (e.g., Netflow, SNMP, traces, logs, JSON).
• Integration with Core Network Stack: Apply 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

This role is at the intersection of networks and software engineering, aiming to build world-class solutions for network automation and zero touch lifecycle mgmt., with a focus on Network Assurance.

Specific Job Requirements

We are looking for a Software Engineer with 4+ yrs experience possessing product mindset and passion for building AI-driven solutions that transform how Maersk manages, operates, and understands global network infrastructure.

In this role, 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.
• Architect and deploy agent-based systems that integrate with network management platforms and decision-support systems.
• Lead the design and implementation of prompt flows, vector-based search, and retrieval pipelines to contextualize large-scale telemetry and logs.
• Mentor developers and engineers on 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.

To be considered for this opportunity, the candidate needs to have the following technical qualifications:

• Collection & Observability Expertise: Hands-on experience in network monitoring and data collection using Grafana Agent, Prometheus collectors, trap listeners, and log collection tools like rsyslog and Promtail to interface with EMS/NMS systems and interfaces.
• CI/CD and Platform Engineering: A must-have understanding of CI/CD pipelines with practical knowledge of GitHub Workflows, Docker, and Kubernetes. Expertise in building and managing containerized applications.
• Observability: Hands-on knowledge of PromQL/logQL and how to use them for monitoring, logging, and alerting in a production environment.
• Familiarity with Spring Boot and React.js is preferred for developing quick proofs of concept (PoCs) and small applications.
• Familiarity with deployment concepts like api-gateways, ingress-controllers, horizontal scaling etc.
• Scripting: Ability to develop quick PoCs and prototypes using scripting languages like python, PowerShell and tools like Postman to validate concepts and build small-scale integrations.
• Expertise in Public, Private and Hybrid Cloud technologies (DC, AWS, Azure, GCP etc) and across broad Network domains (physical and wireless) - WAN/SD-WAN/LAN/WLAN etc.

The Candidate

To be considered for this opportunity candidates will have the following skills:

• Demonstrates excellent communication skills with ability to communicate effectively at all levels within the organisation reaching out when needed to resolve issues.
• Shows strength in negotiation both internally and externally to ensure successful resolution of issues prior to escalation, ensuring that the wider business imperative is not undermined.
• A clear understanding of the business imperatives and how they align with the wider company strategy.
• The candidate will be a fit with the culture and values of Maersk.