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Generalist backend title, mid-level (3+ years), metro Bengaluru, and broad skillset increase candidate competition.
Core backend, DB, cloud, and observability skills are broadly transferable though industrial domain knowledge is beneficial.
Explicit 3+ years requirement plus mandatory backend, DB, and cloud/Kubernetes skills enforce moderate shortlisting strictness.
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Develop and maintain Cognite Data Fusion SaaS platform focusing on backend services and APIs using Java, Python, and Kotlin.
Build and optimize graph database technologies leveraging PostgreSQL and Elasticsearch to power industrial knowledge graphs.
Collaborate with application teams and stakeholders on product and technical decisions to deliver scalable, high-performance solutions in a multi-cloud Kubernetes environment.
Minimum 3+ years of backend software engineering experience with Java, Python, and/or Kotlin.
Experience with modern database technologies including PostgreSQL and Elasticsearch.
Proficiency in DevOps practices including CI/CD and Infrastructure as Code in multi-cloud (AWS, GCP, Azure) Kubernetes environments.
Work Experience Required: 3+ years in backend development.
Has strong expertise in backend development with a focus on cloud-native, scalable SaaS solutions in industrial or complex data domains.
Experienced in building and maintaining graph database systems and handling large-scale data infrastructure.
Comfortable making product and technical decisions with cross-functional teams, including contributing to open-source technologies and monitoring tools like Prometheus and Grafana.