Technical Services Engineer

MongoDB

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Sydney, Australia
Posted
51 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $171k
$124k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $133,000–$209,937.

Based on 240 similar postings.

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About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 311 open roles on FindRole.

Listed pay typically runs $126,000–$226,000 across 95 roles with salary data.

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At a glance

TL;DR · Technical Services Engineer

Technical Services Engineer The Technical Services Engineer joins the Infrastructure team to provide expert guidance and problem-solving for customers managing mission-critical deployments at scale. This role involves advising clients on architecture, performance, recovery, security, and optimization while advocating for customer needs to product teams. Day-to-day responsibilities include resolving complex technical issues, developing internal tools for diagnostics and benchmarking, and creating documentation or training sessions to share knowledge with peers. The ideal candidate possesses expertise in Linux systems engineering, including memory management and I/O tuning; Kubernetes concepts; networking protocols like DNS and TCP/IP; and storage technologies such as NAS and SAN. Required skills include the ability to read code and basic scripting in languages like Python, Java, or Go. This role addresses technical challenges involving high-scale database operations, performance analysis, and advanced workloads like vector search and event-driven systems.

What you'll do

  • Advise customers on architecture, performance, recovery, and security for mission-critical MongoDB deployments.
  • Resolve complex technical issues for large customers regarding database scaling and optimization.
  • Develop internal software tools for performance benchmarking, diagnostics, and automated troubleshooting.
  • Create knowledge base articles and documentation to improve team and customer efficiency.
  • Deliver training sessions and workshops to share technical expertise with peers and customers.
  • Advocate for customer needs by collaborating with product management and development teams.
  • Build and maintain automation tools for AI-assisted diagnostics and performance analysis.
  • Explore and teach new product capabilities across the MongoDB ecosystem.

What we're looking for

  • You must have at least 5 years of proven experience in a technical field.
  • Experience in systems engineering including Linux performance, memory management, I/O tuning, and networking is required.
  • Candidates should understand core Kubernetes concepts such as containers, namespaces, and multi-cluster deployments.
  • A solid understanding of networking protocols like DNS, TCP/IP, and SSL/TLS is required.
  • Experience in storage engineering including NAS, SAN, SSD, and caching is preferred.
  • Ability to read code and perform basic coding or scripting in languages such as Python, Java, Go, or JavaScript.
  • Experience building and maintaining complex mission-critical production database systems is required.
  • Candidates must possess the ability to learn new technical skills rapidly and solve problems under pressure.

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