Database Administrator, MongoDB

Join for the Database Administrator, MongoDB role at Combo Curve
.

Combo Curve is an industry‑leading cloud‑based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment. By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, Combo Curve delivers real‑time analytics and exceptional user support, with a world‑class customer experience team that responds to inquiries in under five minutes.

• Mongo
  
  DB Ownership
  • Design and administer replica sets and clusters (capacity planning, scaling, automation).
  • Performance tuning: indexing strategy, query profiling, schema design, aggregation pipelines, concurrency, and connection management.
  • Backup/restore, point‑in‑time recovery, and disaster recovery runbooks.
  • Observability: create dashboards/alerts (Atlas/Cloud Manager, Datadog) and capacity/latency SLOs.
  • Run and verify backups/restores; maintain runbooks and checklists.
• Relational DB Support (secondary)
  • Administer and maintain RDBMS (Postgre
    
    SQL or Snowflake): backups, replication, query tuning, indexing, vacuum/maintenance.
  • Data modeling, normalization vs. denormalization, and query plan analysis.
• Data Engineering
  • Build and maintain ETL/ELT jobs to move data between Mongo
    
    DB and relational systems.
  • Implement change data capture, data validation, and quality checks.
• Development & Collaboration
  • Write utilities and automation in Java script/Node.js; craft complex SQL and MQL queries.
  • Review designs with application engineers; advise on data access patterns and schema evolution.
  • Participate in an on‑call rotation and incident response; drive root‑cause analysis and preventive fixes.
• Collaboration & Communication
  • Partner with dev teams to understand feature needs and data access patterns; translate requirements into DB tasks.
  • Communicate clearly in standups, PRs, and docs; escalated risks early with actionable proposals.

• 1‑3 years of experience working with databases.
• Basic understanding of Mongo
  
  DB concepts such as documents, collections, and indexes.
• Exposure to SQL and relational databases (Postgre
  
  SQL or Snowflake preferred).
• Familiarity with Java script/Node.js and Python.
• Detail‑oriented, organized, and comfortable working in a collaborative engineering environment.
• Excellent communication skills and eagerness to learn from feedback.

• Hands‑on experience with Mongo
  
  DB Atlas, Datadog, or similar monitoring tools.
• Familiarity with ETL pipelines, data validation, or automation frameworks.
• Exposure to cloud platforms (GCP or Azure).
• Experience writing small automation or data tools using APIs or scripting.

• Mentorship from experienced engineers who will help you grow into a database specialist.
• Opportunities to work on real production systems and learn modern data infrastructure from the inside out.
• A collaborative, growth‑oriented culture that encourages learning and continuous improvement.
• The chance to make a meaningful impact on the reliability and performance of our platform.

Entry level

Full‑time

Information Technology

Software Development