{"id":2840726,"url":"https://alion.io/job/maersk-software-engineer-6","title":"Software Engineer","company":{"id":7034,"name":"Maersk","domain":"maersk.com","url":"https://alion.io/company/maersk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":405,"ghost_share":0,"stale_share":0.775,"repost_share":0.007,"time_to_fill_p50_days":15,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Loki","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"DNS","optional":true},{"name":"FinOps","optional":true},{"name":"Flink","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-21T04:08:08Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Platform Engineer - Event Streaming (Kafka | Cloud & Hybrid)\nAre 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?\nJoin 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.\nThis 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.\nAbout the Role:\nWe are hiring a Platform Engineer to build and operate our enterprise-scale Event Streaming Platform, a Kafka-based backbone powering real-time data across global systems.\nYou will work on a modern platform spanning Azure (AKS), AWS (EKS), and on-premises Kafka clusters, combining distributed systems, cloud-native engineering, and AI-driven operations.\nThis role is ideal for engineers passionate about Kafka at scale, platform engineering, and operational excellence.\nWhat You’ll Do:\nBuild & Evolve the Platform\nImplement and enhance a scalable, multi-tenant Kafka platform across cloud and on-prem environments\nBuild self-service capabilities (APIs, automation, onboarding workflows)\nContribute to a developer-first platform with strong focus on usability and reliability\nDrive automation-first engineering using Infrastructure-as-Code and GitOps\nOperate Kafka at Scale\nOperate Kafka clusters on Kubernetes (AKS/EKS) and on-prem (VM/bare-metal)\nOwn:Topic design, partitioning, replication strategy\nISR management and broker health\nPerformance tuning (throughput, latency, storage)\n\nSupport hybrid patterns (on-prem ↔ cloud connectivity, replication, migration)\nAI-Driven Operations\nApply AI/ML techniques for:Anomaly detection and predictive alerting\nFaster incident triage and root cause insights\nAutomated remediation (AIOps)\n\nUse AI tools to accelerate Debugging, Runbook creation and Operational automation\nObservability & Reliability Engineering\nDefine and track SLIs/SLOs and error budgets\nBuild and monitor observability using Prometheus, Grafana, Loki\nDrive proactive reliability and blameless postmortems\nOperational Excellence\nImprove reliability through:Automation and failure testing\nStrong runbooks and incident response\n\nParticipate in on call with focus on prevention over reaction\nEnsure robust change management and pre-prod validation\nCost & Efficiency\nOptimize infrastructure and network cost across cloud and on-prem\nRight-size Kafka clusters and improve utilization\nProvide cost and usage visibility to platform users\nCollaboration\nWork with product, SRE, network, and security teams\nGuide teams on event streaming best practices\nContribute to platform roadmap and architecture decisions\nWhat We’re Looking For:\nMust Have:\nCore Requirements\n3-8 years in Platform Engineering / SRE / Software Engineering\nStrong hands-on experience operating Apache Kafka in production\nDeep understanding of the Kafka ecosystem (Kafka Connect, MirrorMaker, Schema Registry etc) and practical experience operating and optimizing data streaming platforms at scale\nStrong experience with Kubernetes (AKS/EKS)\nProgramming skills in Go or Python\nExperience with cloud platforms (Azure/AWS) and on-prem systems (Linux, networking)\nPlatform & DevOps\nExperience with CI/CD and GitOps (Flux, ArgoCD, GitHub Actions, Terraform etc)\nStrong knowledge of:Observability (metrics, logs, traces)\nSRE practices (SLOs, SLIs, incident management)\n\nAI & Modern Engineering\nExposure to AI/ML or AIOps in operations\nAbility to use AI tools for:Troubleshooting and automation\nImproving engineering productivity\n\nData-driven mindset with telemetry and metrics\nGood to Have\nExperience in Kafka Streams, Apache Flink, MQ\nHybrid architecture experience (cloud + on-prem integration)\nTroubleshooting across:Network (DNS, routing, load balancers)\nStorage and disk performance\n\nExposure to FinOps, security, and compliance\nWhat You’ll Get:\nWork on a mission-critical global platform\nDeep exposure to Kafka at scale and hybrid architectures\nOpportunity to shape AI-driven platform operations\nStrong engineering culture focused on:Automation-first mindset\nBlameless postmortems\nContinuous improvement\n\nMaersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.\nWe are happy to support your need for any adjustments during the application and hiring process. 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