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About the Role

Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. Engineers within the team have specializations in advanced technology areas such as Search, Vector Search, auto-embedding, event-driven and agentic workloads. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers.

Responsibilities

Advise customers and solve their complex MongoDB problems.
Guide customers in designing, operating, and optimizing their solutions with MongoDB.
Resolve customer questions on architecture, performance, recovery, and security.
Act as an expert resource on standard methodologies for running MongoDB at scale.
Advocate for customer needs by working with product management and development teams.
Contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.
Enable peers by sharing newly gained technical knowledge through informal conversations, training, and workshop sessions.
Document solutions in the knowledge platform to increase efficiency for customers, team members, and other departments.
Contribute to internal tools and automation, including AI-assisted diagnostics, performance analysis, and knowledge discovery.
Share learnings by writing knowledge base articles, delivering training and workshops, and mentoring new team members.
Explore and teach new product capabilities across the MongoDB ecosystem.

Requirements

5+ years of proven experience.
Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting.
Good understanding of core Kubernetes concepts, including containers, namespaces, custom resources, and multi-cluster deployments.
Good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.).
Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching.
Experience building and maintaining complex mission-critical production database systems.
Broad awareness of customer workloads and use cases, including performance, availability, and scalability.
Experience analyzing issues holistically, from the application tier through the database, down to the storage.
Ability to read code.
Basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc.
Desire and ability to rapidly learn a wide variety of new technical skills.
Genuine desire to help people.
Ability to think on your feet and remain calm under pressure while solving problems in real-time.
Willingness and ability to get help from team members when required.
Good judgment to know when to seek help.
Diverse technical backgrounds and different subject matter expertise are welcome.
No prior experience with MongoDB is required.

Skills

Automation
Backup
Performance
Security
Search
Vector Search
Auto-embedding
Event-driven workloads
Agentic workloads
Problem-solving
Customer service
Technical expertise
Linux performance
Memory management
I/O tuning
Configuration
Networking
Clusters
Troubleshooting
Kubernetes concepts
Containers
Namespaces
Custom resources
Multi-cluster deployments
Networking concepts
Protocols
DNS
TCP/IP
SSL/TLS
Storage engineering
NAS
SAN
SSD
Multi-pathing
Caching
Database systems
Application tier analysis
Database analysis
Storage analysis
Coding
Scripting
Java
Python
Ruby
C
C++
C#
Javascript
node.js
Go
AI-assisted diagnostics
Performance analysis
Knowledge discovery
Large scale databases
RDBMS
NoSQL
Authentication systems
LDAP
Kerberos
AD
MongoDB
Distributed version control systems
git
Cloud services stack
AWS
Azure
GCP
Kubernetes CLI
Resource inspection
Container status inspection

Location

Sydney

Work Type

Hybrid
Full-time

Experience Level

5+ years

Benefits

Employee affinity groups
Fertility assistance
Generous parental leave policy

About the Company

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market.
We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software.
MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone.
We value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.

Equal Opportunity

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process.
To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.