Platform Engineer

HiredScore is the leading provider of Talent Orchestration technology. HiredScore’s artificial intelligence, automation, and deep integrations empower the largest and most innovative companies in the world to safely and transparently drive critical business outcomes in recruitment productivity, diversity hiring, internal mobility, and total talent management. 

HiredScore’s proprietary technology provides compliant-by-design AI that seamlessly connects to data and systems to power the shift to proactive and fair HR decisions. HiredScore is live in 150 countries and available in 70 languages.

As a Senior Platform Engineer, you will play a critical role in ensuring the reliability, scalability, and efficiency of our data platform tools. You will be responsible for handling pipelines between MongoDB, Elasticsearch, and PostgreSQL, as well as developing tools for data migrations, purging, and data governance. 

You will be part of a central team, collaborating on projects across all our development teams. This role offers exposure to diverse technologies and the opportunity to work with teammates possessing varied skills, including backend developers and data engineers

• Architecture Decisions: Participating in and influencing architecture decisions around applicative data, ensuring they align with best practices and business goals.
• Full ownership of the organization's data flows, pipelines, databases and tools.
• Enabling Development Teams: Collaborating with product teams to help them use data effectively and efficiently using our data platform tools for user facing applications.
• Maintaining User-Facing Databases: Ensuring the performance, availability, and security of user-facing databases and data access services. (MongoDB, Elasticsearch and PostgresDB)
• Tool Development: Developing and maintaining tools and processes for data migrations, purging, and governance.
• Collaboration: Collaborating with cross-functional teams including data scientists, analysts, and developers to support their data needs.
• Data Quality: Ensuring the quality, accuracy, and integrity of the data within our platform..
• Monitoring and Optimization: Monitoring the performance of data platform tools and databases, and optimizing them for efficiency and scalability.
• Continuous Learning: Staying updated with the latest technologies and trends in data engineering and applying them to improve our data platform.

• 5+ years of experience in a similar role in a SaaS company.
• Platform tools enthusiast with a passion for leveraging technology to solve complex challenges.
• Strong understanding of data quality, integrity, and governance principles.
• Experience with 24/7 production applications/databases
• Experience with a variety of SQL and NoSQL databases 
• Experience with Python
• Loves dashboards and observability
• Deep diver - not afraid to open dashboards, logs, K8S resources, and SSH into container in order to solve an issue
• Flourish in a team setting and able to mentor team members
• Technical thought leader who likes to push for high-value initiatives and raise the quality bar

• Experience working with Celery, RabbitMQ, Spark, BigQuery, MongoDB, PostgreSQL , Elastic
• Experience with developing tools for data migrations, purging, and governance.