MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. In addition engineers within the team have specialisations 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.

The position will be based in our Sydney office. The standard work week post ramping will be Tuesday to Saturday, every week.

Why MongoDB is a fantastic place to work and build your career

• Be a part of the company that’s reinventing the database, passionate about innovation and speed
• Enjoy a fun, inspiring culture that is engineering focused
• Work with exceptionally talented people around the globe
• Learn, contribute, and make an impact on the product and community

Cool things you’ll do

MongoDB, the developer data platform and AI platform of choice for modern applications, is on a mission to change the way people think about databases. As they build intelligent, data-driven experiences on our platform, our customers naturally encounter questions and challenges about how our approach to data and databases fits their specific use cases and architectural needs. In Technical Services, it’s our job to guide these people, helping them design, operate, and optimize their solutions so they can succeed with MongoDB.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. You'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.

MongoDB Technical Services puts a strong focus on engineers enabling their peers to be successful by sharing newly gained technical knowledge with the team, either via informal one-to-one conversations, or training and workshop sessions. By documenting solutions in our knowledge platform, TSEs will increase the efficiency of our customers, other team members and departments throughout MongoDB.

Beyond direct customer work, you will contribute to internal tools and automation that make our engineers and customers more effective, including AI-assisted diagnostics, performance analysis, and knowledge discovery. You will share what you learn by writing knowledge base articles, delivering training and workshops, and mentoring new team members. As MongoDB’s AI and data platform continues to evolve, you will play a key role in exploring and teaching new product capabilities across the MongoDB ecosystem.

What you need

You should have 5+ years of proven experience, we consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted.

The ideal candidate should have a mix of experience in most of the following areas:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Understand core Kubernetes concepts, including containers, namespaces, custom resources and multi-cluster deployments
• Should have a 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
• Be able to read code, and 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

You should possess a genuine desire to help people, the ability to think on your feet and remain calm under pressure while solving problems in real-time. There’s a lot to learn, so the desire and ability to rapidly learn a wide variety of new technical skills is paramount. We work in a collaborative team environment, so a willingness and ability to get help from team members when required, and good judgment to know when to seek help, is essential. We also aim to have diverse technical backgrounds and therefore different subject matter expertise is welcome.

You do not need to have prior experience with MongoDB. We can teach you that!

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes (including CLI), ability to inspect resource / container status using relevant utilities and commands

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable partnering with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

About MongoDB

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 75% of the Fortune 100 and AI-native startups, 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. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

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.

Requisition ID
2273496973

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Internal job code:3F8

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Internal job code:3F8

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and creators.

WHY CREATOR PLATFORM?

At Roblox, the Creator Platform team is responsible for the systems that determine how creators build, publish, earn, and thrive on the platform. As a Senior Data Scientist, you will be the primary strategic data partner across some of the most business-critical and safety-sensitive areas in the creator ecosystem — including creator reputation, publish gating, anti-abuse, rewards, data foundations, and AI enablement.

This is a high-ownership, high-autonomy role. You will work across trust & safety, measurement, data infrastructure, and AI-enabled analytics — owning end-to-end problem framing, model development, and executive-facing recommendations in areas that directly shape platform integrity and creator success.

You Will:

• Own Creator Reputation & Publish Gating: Serve as the primary DS owner for the Creator Reputation Model and Good Standing score — ML systems that estimate creator trustworthiness and gate publishing access for new or alt accounts before they accumulate creator history. Maintain and improve the auto-approval model for DevEx requests.
• Build & Maintain Anti-Abuse Models: Lead anti-abuse modeling for creator rewards and creator analytics, ensuring the integrity of creator incentive systems and identifying bad actors at scale.
• Drive Creator Data Foundations: Serve as DRI for core creator data infrastructure — documenting all key creator tables, designing trustworthy data contracts, and building the semantic layers and analytical frameworks that enable reliable self-serve analysis across the team.
• Enable Agentic & AI-Powered Analytics: Lead DS AI enablement for the creator org — building skills, evaluation frameworks, and scalable AI-enabled workflows that reduce analyst toil and elevate the team's analytical capacity.
• Own Creator Analytics Reporting: Define top-line success metrics and own measurement for creator analytics, providing leadership with a clear, consistent view of creator health and platform performance.
• Support Creator Store & Select: Provide coverage for Creator Store safety scores, store metrics, and asset usage analysis. Serve as a dedicated DS partner for Select, helping shape how we open access to early-stage creators as creator reputation becomes a core input to eligibility.
• Create Zero-to-One Frameworks: Define analytical standards and measurement approaches for new, ambiguous product areas — translating complex technical systems into interpretable, movable metrics for product and engineering leadership.

You Have:

• Seniority & Breadth: High Senior or Principal-level DS experience, with a track record of owning complex, cross-functional data problems end-to-end — from problem framing and data infrastructure through modeling, experimentation, and executive communication.
• ML & Trust/Safety Chops: Proven ability to build, evaluate, and maintain ML models, especially for trust & safety, anti-abuse, or reputation systems. Experience with ecosystem or marketplace settings is a strong plus.
• Experimentation & Causal Inference: Strong statistical rigor, experimentation design, and causal inference skills — ideally applied in complex, mediated settings where simple A/B tests don't tell the full story.
• Data Foundation Expertise: Ability to contribute to the data foundation layer for AI — including table documentation, semantic layer design, data contracts, and trustworthy infrastructure for AI-enabled analysis.
• AI for Analytics: Deep understanding of agentic and self-serve analytics use cases, including how to turn DS workflows into scalable, AI-enabled products. Familiarity with evaluation frameworks for AI outputs.
• Technical Depth: Expert-level SQL and Python, with enough engineering fluency to work effectively across data pipelines, model outputs, and production-facing systems.
• Communication & Influence: Excellent written and verbal communication skills; able to translate technical findings into clear product and business recommendations for senior stakeholders.
• Comfort with Ambiguity: Experience operating independently in zero-to-one environments — defining the problem, building the data, and owning the answer without a playbook.
• Technical Leadership: Ideally, someone who can raise the bar for adjacent DS workstreams through mentorship, code review, and cross-functional partnership.
• Academic Background: BS, MSc, or PhD in Computer Science, Statistics, Applied Math, or a related quantitative field.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range
$263,670-$322,820 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.