Senior Infrastructure Engineer

5 - 8 years

8 - 12 Lacs

Posted:11 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We re building a modern data platform that powers Maersk s AI and analytics ambitions across a decentralized, domain-driven ecosystem. To make that happen, were hiring platform engineers with strong data infrastructure expertise - engineers who understand distributed systems, open-source data stacks, and cloud-native architectures.
This role isn t about building data pipelines for specific business use cases. It s about building the platform that makes those pipelines easy, reliable, observable, and scalable for everyone else.
What You ll Be Doing
  • Design and build foundational platform components for data ingestion, transformation, metadata, and lineage
  • Develop reusable, cloud-native infrastructure and tooling across AWS, Azure, and on-prem environments
  • Work across streaming (Kafka, Flink) and batch (Spark, SQLMesh, dbt) systems to support diverse data processing needs
  • Enable open table formats (Iceberg, Delta Lake, Hudi) as first-class citizens of the platform
  • Contribute to platform observability (e.g., Prometheus, Grafana), lineage (OpenLineage), and data quality tooling (Great Expectations)
  • Implement GitOps-driven CI/CD pipelines, Terraform modules, and containerized deployments
  • Partner with AI/ML, metadata, and governance teams to drive consistency, automation, and platform-wide operability
What You Bring
  • Strong engineering background in data infrastructure, platform engineering, or distributed systems
  • Deep hands-on experience with open-source data tooling and frameworks (Kafka, Spark, Flink, Iceberg, dbt, SQLMesh, etc.)
  • Proficiency with cloud-native services on AWS, Azure, or GCP especially around data storage, compute, and orchestration
  • Infrastructure-as-code mindset (Terraform, GitHub Actions, GitOps) and familiarity with container ecosystems (Kubernetes preferred)
  • Comfort working on modular, multi-tenant systems that enable self-service, observability, and scalability by design
  • Clear thinking around data architecture principles like data mesh, decentralized ownership, and federated governance

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