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Software Engineer

Nokia

Salary not specified
Nov 4, 2025
Remote, US
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Nokia's Cloud and Network Services (CNS) business group is building out a suite of products and capabilities that drive our Autonomous Networks vision. We are creating a data fabric that brings together all the information that we gather from telecom networks with the goal of feeding intelligent decision making for autonomous operations.

Requirements

  • Deep expertise in data lakehouse tools (e.g., Iceberg) and cloud-native storage systems.
  • Deep understanding of cloud ecosystems (GCP, Azure, AWS) and CNCF technologies.
  • Proven hands-on experience with Neo4j or similar graph databases and Cypher query language.
  • Solid working knowledge of ClickHouse, PostgreSQL, BigQuery, RedShift etc. for analytical and operational querying.
  • Strong programming skills in Python, Scala, or Java.
  • Proficiency with Kubernetes, Helm, CI/CD pipelines, and GitOps tooling (e.g., ArgoCD, Flux).
  • Familiarity with observability tooling (Grafana, Prometheus, OpenTelemetry etc.), GitOps (e.g. ArgoCD), and Kubernetes Operators/CrossPlane.

Responsibilities

  • Architect and implement modular data platform services for stream based and batch processing (e.g., ingestion, processing, cataloging, metadata) using Kubernetes operators
  • Lead integration of CDMP services with data lakehouse, pub/sub services and APIs.
  • Lead integration of CDMP services with AIML services.
  • Ensure end-end platform security with TLS, RBAC, encryption-at-rest, and secure multi-tenancy.
  • Enable Data Studio capabilities for both internal developers, partners, and customers.
  • Integrate observability using OpenTelemetry, enabling SLO-driven auto-scaling and real-time telemetry
  • Collaborate with SRE teams to define and enforce SLA/SLO objectives, implement zero-downtime deployments, and support blue/green and canary rollouts

Other

  • 4-6 years of experience in data engineering, distributed systems, or cloud-native data platforms. Experience on a SaaS product and building products for on-prem delivery.
  • Understanding of data governance, schema evolution, version control, and secure data access models.
  • Experience with database replication, clustering, failover, backup/recovery processes, and high availability, and multi-tenancy configurations.
  • Solid knowledge of API design, versioning, and backward compatibility principles.
  • Deep understanding of observability frameworks, SRE principles, and SLA/SLO enforcement.