ABOUT BLACK KITE
Black Kite is the global leader in third-party cyber risk intelligence, trusted by more than 3,000 organizations worldwide. We give security and business leaders a continuous, outside-in view of their entire vendor ecosystem - translating complex cyber, financial, and compliance signals into clear, actionable risk intelligence.
We go beyond open standards-based cyber ratings. Black Kite helps organizations make smarter risk decisions, strengthen business resilience, and scale their third-party cyber risk management programs in an increasingly complex digital environment. Our work has earned consistent recognition from customers and industry analysts alike.
THE ROLE
We are looking for a motivated Junior DevOps Engineer with hands-on experience in PostgreSQL and Microsoft SQL Server and a strong interest in Google Cloud Platform (GCP) technologies.You will be responsible for managing and optimizing databases hosted on GCP, especially Cloud SQL, while working closely with engineering teams to ensure performance, reliability, and scalability.
Responsibilities
Write, analyze, and optimize SQL queries for performance and scalability
Manage and maintain PostgreSQL and SQL Server databases on GCP (Cloud SQL)
Perform query tuning and performance optimization using execution plans
Design, implement, and maintain indexes
Support and maintain high availability (HA) and disaster recovery setups in cloud environments
Perform routine database maintenance tasks:
Index rebuild/reorganization
Statistics updates
Backup & restore operations
Monitor and troubleshoot database performance issues in GCP environmentsWork closely with GCP services and infrastructure (Cloud SQL, Compute Engine, IAM basics, networking concepts)
Collaborate with other teams to improve database usage and efficiency.
Required Qualifications
Bachelor's degree in Computer Science, IT, or related field and 1-2 years of database engineering experience
Basic hands-on experience with PostgreSQL and Microsoft SQL Server
Strong ability to write clean, efficient, and optimized SQL queries
Solid understanding of:
Query execution plans
Query optimization techniques
indexing strategies
Familiarity with:
Joins, subqueries, CTEs, window functions
Data modeling basics (normalization, relationships)
Hands-on experience with Google Cloud Platform (GCP) or strong foundational knowledge, especially:
Cloud SQL
Basic cloud concepts (compute, networking, IAM)
Understanding of high availability and replication concepts in cloud environments
Experience with database maintenance and monitoring
Ability to work in Linux and/or Windows environments
Strong analytical thinking and problem-solving skills
Nice to Have
Experience with other GCP services (BigQuery, Pub/Sub, Cloud Storage, Monitoring)
Experience with non-relational databases, such as:
MongoDB
Elasticsearch
Redis
Familiarity with query profiling and performance tools
Basic scripting skills (Python, Bash, or PowerShell)
Knowledge of database security and access control
Exposure to CI/CD pipelines and DevOps practices
| Location | Boston, MA |




