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Mid-level backend role, metro location, broad tech stack, and generalist profile increases candidate competition.
Core backend, DB and Kubernetes skills are transferable, though industrial domain knowledge moderately favors sector specialists.
Explicit 3+ years, mandatory backend experience, specific tech stack, multi-cloud and monitoring requirements raise strictness.
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Develop and maintain Cognite Data Fusion, a SaaS platform for industrial data, including APIs and robust backend services using Java, Python, and Kotlin.
Design, implement, and optimize graph database technologies using PostgreSQL and Elasticsearch to support industrial knowledge graphs.
Collaborate with application teams and stakeholders to build scalable, performant solutions on multi-cloud Kubernetes environments and contribute to product and technical decisions.
3+ years of backend software engineering experience with Java, Python, and/or Kotlin.
Experience with modern database technologies, specifically PostgreSQL and Elasticsearch.
Knowledge of DevOps practices, including CI/CD, Infrastructure as Code, and multi-cloud Kubernetes deployments (AWS, GCP or Azure).
Experience working with monitoring tools such as Prometheus and Grafana.
Experienced backend engineer comfortable building and scaling SaaS platforms in industrial/complex data domains.
Skilled in developing API-driven services and graph/database technologies with a focus on performance and maintainability.
Able to engage collaboratively with cross-functional teams, contribute to product decisions, and handle troubleshooting using logs, traces, and metrics.