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Software EngineerMaersk · India, Bengaluru, 560064
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Maersk

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Software Engineer

🗓️ Posted 2026-10-16 India, Bengaluru, 560064 Full-time Hybrid ICT
💰 Salary Not shared 📊 Market ₹12,500–₹25,250/mo

About the Company

Platform Engineer - Event Streaming (Kafka Cloud & Hybrid) Are you passionate about building and operating large-scale distributed systems powering real-time data Do you enjoy combining platform engineering, automation, and AI-driven operations to deliver highly reliable and scalable systems Join Maersk's Technical Services Engineering as a Platform Engineer for the Event Streaming Platform, where you will help evolve a cloud-native, Kafka-based platform that enables real-time integration across global logistics systems. This role provides a unique opportunity to work at the intersection of event streaming, cloud platforms, platform engineering, and AI-driven operations , contributing directly to Maersk's ambition of becoming a digital leader in global trade.

About the Role

prise-scale Event Streaming Platform, a Kafka-based backbone powering real-time data across global systems.

Responsibilities

  • ● ses Kafka clusters, combining distributed systems, cloud-native engineering, and AI-driven operations.
  • ● This role is ideal for engineers passionate about Kafka at scale, platform engineering, and operational excellence.
  • ● Build & Evolve the Platform
  • ● Implement and enhance a scalable, multi-tenant Kafka platform across cloud and on-prem environments
  • ● Build self-service capabilities (APIs, automation, onboarding workflows)
  • ● Contribute to a developer-first platform with strong focus on usability and reliability
  • ● Drive automation-first engineering using Infrastructure-as-Code and GitOps
  • ● Operate Kafka at Scale
  • ● Operate Kafka clusters on Kubernetes (AKS/EKS) and on-prem (VM/bare-metal)
  • ● Topic design, partitioning, replication strategy
  • ● ISR management and broker health
  • ● Performance tuning (throughput, latency, storage)
  • ● Support hybrid patterns (on-prem cloud connectivity, replication, migration)
  • ● AI-Driven Operations
  • ● Apply AI/ML techniques for:
  • ● Anomaly detection and predictive alerting
  • ● Faster incident triage and root cause insights
  • ● Automated remediation (AIOps)
  • ● Use AI tools to accelerate Debugging, Runbook creation and Operational automation
  • ● Observability & Reliability Engineering

Requirements

  • ● -8 years in Platform Engineering / SRE / Software Engineering
  • ● Strong hands-on experience operating Apache Kafka in production
  • ● Deep understanding of the Kafka ecosystem (Kafka Connect, MirrorMaker, Schema Registry etc) and practical experience operating and optimizing data streaming platforms at scale
  • ● Strong experience with Kubernetes (AKS/EKS)
  • ● Programming skills in Go or Python
  • ● Platform & DevOps
  • ● Strong knowledge of:
  • ● Observability (metrics, logs, traces)
  • ● SRE practices (SLOs, SLIs, incident management)
  • ● AI & Modern Engineering
  • ● Exposure to AI/ML or AIOps in operations
  • ● Ability to use AI tools for:
  • ● Troubleshooting and automation
  • ● Improving engineering productivity
  • ● Data-driven mindset with telemetry and metrics
  • ● Good to Have
  • ● Hybrid architecture experience (cloud + on-prem integration)
  • ● Troubleshooting across:
  • ● Network (DNS, routing, load balancers)
  • ● Storage and disk performance