Software Engineer - Metrics and Marvels

Role Overview

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve the world's hardest, highest-impact problems. Our mission is to transform raw data into actionable insights by deciphering complex metrics, uncovering patterns, and providing strategic recommendations to empower customers and Cognite's organization.

Responsibilities

• Develop Cognite Data Fusion, a robust, state-of-the-art SaaS for industrial data.
• Solve concrete industrial data problems by designing and implementing delightful APIs and robust services with Java, Python, and Kotlin.
• Build graph database technology using PostgreSQL and Elasticsearch to power our industrial knowledge graph.
• Work with application teams to ensure a delightful user experience for complex real-world problems.
• Build scalable, performant solutions with open-source technologies such as Spark, FoundationDB, and Cognite's data infrastructure.
• Collaborate with stakeholders and subject matter experts while being actively involved in product and technical decisions.

Requirements

• 3+ years of experience in backend software engineering with Java, Python, and/or Kotlin.
• Experience with modern database technologies, including PostgreSQL and Elasticsearch.
• Ability to write well-structured, efficient, and maintainable code.
• Broad experience with DevOps practices, including CI/CD and Infrastructure as Code.
• Adept at building, testing, deploying, and monitoring software in a multi-cloud Kubernetes environment across AWS, GCP, or Azure.
• Strong troubleshooting skills using logs, traces, and metrics.
• Solid understanding of monitoring tools such as Prometheus and Grafana.
• Excellent communication and collaboration skills.

Skills

• Java
• Python
• Kotlin
• PostgreSQL
• Kubernetes