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We’re looking for a skilled Data Reliability Engineer to join our team for a client in the construction technology space. The client provides cloud-based construction management software that helps customers efficiently build large-scale infrastructure such as skyscrapers, hospitals, and housing complexes. As a Senior Data Reliability Engineer, you’ll work as a peer alongside highly skilled teams in Site Reliability, Security, Data Administration, and Production Engineering. You’ll play a key role in designing, maintaining, and scaling critical data systems that support all user-facing services and core infrastructure. This is not just an operations role - it combines elements of database engineering, infrastructure reliability, and software development. You’ll lead initiatives to improve system resilience, automate infrastructure and data management processes, and support cross-functional teams with expertise in high-performance, scalable data environments.
Job Responsibility:
Own and optimize the reliability, availability, and performance of data infrastructure across production systems
Lead the design and implementation of resilient, secure, and observable data systems
Collaborate with SRE, Security, and Engineering teams to enforce data infrastructure standards and align on architectural decisions
Design and implement automation around provisioning, uptime monitoring, data refresh, integrity, backups, and disaster recovery
Support application developers with performance tuning, complex query optimization, and database design reviews
Analyze and resolve performance bottlenecks and incidents with a focus on long-term solutions
Participate in on-call rotation to support production systems and ensure high availability
Actively contribute to improving incident response and observability through metrics, alerting, and runbooks
Work with technologies such as Java, Ruby on Rails, PostgreSQL, AWS, Kafka, S3, Elasticsearch
Requirements:
5+ years of experience in Data Engineering, Database Reliability, or Infrastructure Operations
Strong expertise in PostgreSQL on AWS, including tuning, replication, backups, and HA configurations
Experience operating RDBMS databases (PostgreSQL, MySQL, etc.) and Kubernetes technologies is highly desirable
Experience provisioning and operating NoSQL databases at scale like Elasticsearch, Elastic Cache, DynamoDB, Neo4j, Mongo, Cassandra, etc.
Advanced SQL scripting and query optimization skills
Experience with data systems monitoring, alerting, and performance tuning
Strong programming/scripting in Java, Python, or Shell
Proven experience in designing or supporting complex data ecosystems
Solid understanding of cloud infrastructure (preferably AWS) and Infrastructure as Code tools (Terraform)
Familiarity with event streaming platforms (Kafka), and observability stacks (New Relic, ELK, etc.)
Excellent communication skills and experience working in cross-functional teams
Align working hours to USA time zones
Nice to have:
Experience with data warehousing (Snowflake, Redshift)
Knowledge of Ruby, Kubernetes, or configuration management tools (Ansible, Puppet)
Background in production incident response, disaster recovery planning, or capacity management
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