We are looking to speak to candidates who are based in Sydney for our hybrid working model.

About the Job

The worldwide data management software market is massive (According to IDC, the worldwide data management software market was approximately $106 billion in 2025, growing to approximately $153 billion in 2028). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB.

We are looking for a Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys.

The Ideal Candidate Will Have

• 3+ years of commercial software development experience with strong proficiency in Python and/or Java
• Experience designing and building scalable, high-performance APIs and backend services
• Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation
• Good understanding of algorithms, data structures, and their time and space complexity
• Experience with frontend development using React and TypeScript, or a demonstrated willingness and ability to work across the full stack
• Degree in Computer Science or a similar field, or equivalent practical experience
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Experience building AI-powered features, including working with Large Language Models (LLMs) and agentic workflows
• Experience with code analysis, static analysis tooling, or building tools that traverse and interpret code structures programmatically
• Familiarity with MongoDB
• Experience with cloud-native distributed systems (e.g., Kubernetes or similar)
• Contributions to open-source projects

Position Expectations

• Contribute high-quality, well-tested code to the App Analysis & Modelling team’s backend and frontend services
• Design and build scalable APIs and data pipelines that power code analysis and schema recommendation features
• Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
• Participate actively in code reviews to enforce best practices and maintain a high bar for code quality
• Give and solicit feedback on technical design documents and pull requests
• Help troubleshoot and resolve complex technical issues across the stack
• Perform tasks related to engineering process such as CI/CD, quality, and testing

Success Measures

Within the first three months, you will have:

• Familiarised yourself with the MongoDB database and aggregation language
• Familiarised yourself with the backend tech stack including Python, Java, and our API infrastructure
• Set up your software development environment and begin contributing to the codebase
• Started collaborating with your peers and contributed to code reviews and design discussions

Within six months, you will have:

• Familiarised yourself with the full stack including the React/TypeScript frontend
• Worked on and delivered a large-scale feature in the product
• Contributed to and helped deliver multiple product releases
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have:

• Become a key contributor to the team, capable of owning complex features independently
• Delivered at least one large-scale feature that spans the entire tech stack
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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.

To help facilitate a seamless and inspiring interview experience for our candidates, we’re looking for an upbeat and hardworking Candidate Experience Coordinator to join our team!  This person will be tasked with a heavy load of interview scheduling, but will also be given the opportunity to work closely on projects with the Recruiting Team. This opportunity will expose you to the fast-paced world of enterprise software and presents an outstanding opportunity to develop your career.  

We are looking to speak to candidates who are based in Sydney for our hybrid working model. 

Responsibilities

• Partner with a team of Recruiters to schedule phone, video, and in-person interviews
• Own candidate experience; ensuring timely communication throughout the interview process
• Using our Applicant Tracking Systems (Greenhouse) to move candidates through the interview process and keep in close touch with your candidates to guide them through their upcoming interviews
• Arrange travel and accommodation for out of town candidates 
• Greet candidates, make them feel welcome, and ensure on-site interviews run smoothly (when onsite interviews are occurring)
• Assist with operational responsibilities including: job requisition creation, offer letter generation, and kicking off background checks 
• Support the Recruiting team with projects on an ad-hoc basis

Requirements

• Outstanding organizational skills; superb attention to detail
• You have at least 1 year of experience as a recruiting coordinator, admin, or intern
• You have had experience scheduling interviews and/or calendaring
• Ability to be a team player; adept at working with multiple people at any given time
• You are creative and process-driven; you’re constantly looking for ways to make things work more efficiently
• You’re a people person and like building relationships
• You did your homework on MongoDB, and recognize the outstanding things that are happening here and want in
• Previous experience working in a Candidate Experience/Recruiting Coordinator role is advantageous
• This role requires some flexibility to attend to urgent candidate matters outside of working hours

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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.

REQ ID: 4263335113

About The Role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for growing business within existing accounts. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

MongoDB’s Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services and Customer Success team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal size
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

What you bring to the table

• 8+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on expanding new accounts
• Demonstrated ability to sell into new lines of business within open accounts and run a complex sales process
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Ability to attend the office 3 days per week
• Driven and competitive. Possess a strong desire to be successful
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

Why join now

• MongoDB invests a HUGE amount of development into each of our new hires & continuous career development
• Accelerators up to 30%
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture - Learn more about what it’s like to work at MongoDB

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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.

We are looking for an experienced Lead Software Engineer with a strong background in data streaming products, the Java ecosystem and team leadership. You will lead a talented team building a complex product suite using a modern stack: Java, Spring Boot, Apache Kafka, Debezium, and React. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging data problems.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

The ideal candidate for this role will have

• 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in the data streaming or data tooling space, especially with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the architectural vision and long-term technical roadmap for the Data Migration product suite, ensuring it is scalable, reliable, and performant.
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs.
• Lead the design and implementation of complex, mission-critical components of our data streaming and migration platform.
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence.
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes.
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap.
• Begin mentoring team members and building strong collaborative relationships with your product counterparts.

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release.
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams.
• Established a clear rhythm of execution and a high-performing culture within your team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the data migration domain at MongoDB.
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business.
• Played a crucial role in recruiting, hiring, and growing the engineering team.

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

About the role

We’re looking for a driven, results-oriented professional with the passion and initiative to grow our business through strategic partner relationships. The Principal Partner Specialist focuses on executing high-impact Cloud and System Integrators (SI) partner strategies across Australia, developing and nurturing partnerships that open new revenue opportunities. You’ll work closely with leading partners and our sales teams to accelerate deals, expand partner capabilities, and strengthen MongoDB’s presence in this dynamic market.

What you will be doing

• Develop and execute strategic Cloud (i.e., AWS, Microsoft Azure, Google Cloud) and SI Partner strategy across the Australia market, including Local SIs and/or Global SIs (i.e., EY, PwC, KPMG, Infosys, TCS, Wipro, etc.)
• Recruit and develop effective partner relationships, resulting in growth opportunities and mutual beneficial partnerships.
• Proactively prospect, identify, qualify and develop a sales pipeline through Cloud, Local or Global System Integrators and ISV Partners
• Work with our Enterprise Sales team to close business to meet and exceed monthly, quarterly and annual bookings objectives
• Lead engagement of Cloud and strategic SI Partners to develop their sales, pre-sales and delivery capabilities in line with our strategy of amplifying partners with capabilities and certifications to deliver for their customers.
• Work with cross functional teams including Marketing, Partner Programs, Partner Enablement, Customer Success, Solutions Consulting teams to drive pipeline generations and deal progression.
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

What you bring to the table

• 12+ years of quota-carrying experience generating pipeline and selling through Cloud Partners(CSPs), Global/Local System Integrators(SIs) and ISVs in a heavy sales matrix model
• Aligned with MongoDB’s leadership principles and company values
• Demonstrated ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets.
• Skills in building business champions and running a complex sales process
• Drive and a competitive nature; possess a strong desire to be successful
• Skills in managing time and resources; sound approach to qualifying opportunities
• Examples of creating and sustaining differentiated partner relationships
• Strong strategic thinking skills, blending consulting and business strategy to create compelling partner initiatives
• Ability to adapt to complexity and continuous change; demonstrates strong critical thinking
• Aptitude to learn quickly and establish credibility, High EQ and self-aware

Things we love

• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, developers and open source technology is a plus

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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.

The Storage Engines team is building WiredTiger, a cutting-edge open-source storage engine. WiredTiger employs modern hardware architectures and software algorithms to achieve extraordinary performance for the most intricate applications. This team’s role is to maintain a pluggable protocol for MongoDB storage engines, and provide a comprehensive framework for managing concurrent, transactional access to data stored within a MongoDB database instance.

Our team champions a strong culture of inclusivity, diversity, and collaboration. As a team member, you will contribute to crafting and maintaining the nexus of the different server components, connecting its query system and distributed replication system to its underlying storage engines. Ongoing work includes improvements to our transaction management, scaling the code base, and improving resilience and availability for the server.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

Candidate Profile

• Experience with building industrial-strength software projects with a large user base, robust designs, a high level of code quality, and collaborative software development processes
• Degree in Computer Science or similar field, or equivalent practical experience, with strong proficiency in data structures, algorithms, and software design/architecture
• Interest in the theory and practice of database internals
• At least 5 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent software systems

Position Expectations

• Ship measurable improvements to the product through architecting, coding and leading projects
• Collaborate with and contribute to other engineers’ projects to ensure their success in a large, feature-rich C++ codebase
• Ensure customer value through working with product management and neighbouring engineering teams to design and deliver new features
• Proactively identify and fix code defects and work with support to diagnose and remediate customer issues
• Espouse and promote the MongoDB values through mentorship, building together, intellectual honesty, and accountability

Success Measures

• In three months you’ll have contributed to the development of a project slated for the next major release, as well as fixed a few bugs in a minor version of our latest stable release series
• In six months, you’ll be responsible for reviewing code, interviewing potential new hires, and reviewing new feature designs
• In twelve months, you’re owning the development of a new major feature and are helping to mentor new engineers on the team

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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.

We seek an exceptional researcher specializing in Machine Learning with particular expertise in areas such as Code-oriented LLMs, Agentic Systems, Reinforcement Learning and Reasoning Models. The ideal candidate will demonstrate a strong track record of publishing in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL).

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

Responsibilities

• Conduct cutting-edge research in Machine Learning in areas such as Code LLMs, Reasoning Models, Agentic Systems and Reinforcement Learning
• Publish influential research outcomes in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
• Collaborate closely with other Research Scientists and Research Engineers, as well as our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
• Mentor intern researchers, fostering a collaborative and productive research environment

Qualifications

• Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in Machine Learning
• Proven track record of impactful research publications in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
• Post-PhD industry experience of applying computer science concepts to large scale software development problems is a plus
• Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
• Excellent technical communication skills, verbal and written, with the ability to collaborate across teams

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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.

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB.

We are looking for a Senior Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

The ideal candidate will have

• 5+ years of commercial software development experience with strong proficiency in Python and/or Java
• Extensive Experience designing and building scalable, high-performance APIs and backend services
• Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation
• Good understanding of algorithms, data structures, and their time and space complexity
• Experience with frontend development using React and TypeScript, or a demonstrated willingness and ability to work across the full stack
• Degree in Computer Science or a similar field, or equivalent practical experience
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to have

• Experience building AI-powered features, including working with Large Language Models (LLMs) and agentic workflows
• Experience with code analysis, static analysis tooling, or building tools that traverse and interpret code structures programmatically
• Familiarity with MongoDB
• Experience with cloud-native distributed systems (e.g., Kubernetes or similar)
• Contributions to open-source projects

Position Expectations

• Contribute high-quality, well-tested code to the App Analysis & Modelling team’s backend and frontend services
• Design and build scalable APIs and data pipelines that power code analysis and schema recommendation features
• Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
• Participate actively in code reviews to enforce best practices and maintain a high bar for code quality
• Give and solicit feedback on technical design documents and pull requests
• Help troubleshoot and resolve complex technical issues across the stack
• Perform tasks related to engineering process such as CI/CD, quality, and testing

Success Measures

Within the first three months, you will have:

• Familiarised yourself with the MongoDB database and aggregation language
• Familiarised yourself with the backend tech stack including Python, Java, and our API infrastructure
• Set up your software development environment and begin contributing to the codebase
• Started collaborating with your peers and contributed to code reviews and design discussions

Within six months, you will have:

• Familiarised yourself with the full stack including the React/TypeScript frontend
• Worked on and delivered a large-scale feature in the product
• Contributed to and helped deliver multiple product releases
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have:

• Become a key contributor to the team, capable of owning complex features independently
• Delivered at least one large-scale feature that spans the entire tech stack
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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.

The MongoDB Developer Productivity team provides a highly leveraged foundation of shared tools and services that support our product development process. We succeed when MongoDB product and engineering teams are able to deliver the best solutions to our customers through a highly effective software development process.

The Performance Infrastructure Team aims to make it as easy as possible for MongoDB engineers to test and improve the performance of MongoDB products. As a Software Engineer 2, you will work closely with performance-focused engineers across the organization to design, build, and maintain our world-class performance benchmarking system and supporting tooling.

This role requires a hybrid working model based out of our office in Sydney, Australia.

What we are looking for in you

• A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
• A solid foundation in computer science fundamentals (data structures, algorithms, software design) and an ability to apply them to real problems.
• Proficiency in at least one modern programming language; Python is strongly preferred for this role, but experience in languages such as Go, Java, C++, or similar is also valuable.
• Experience writing and testing software via internships, personal projects, open source contributions, coursework, coding competitions, or research. You can point to code you’ve written that you’re proud of, and explain the trade-offs you made.
• An interest in or exposure to modern software delivery practices (e.g., CI/CD, containers, cloud platforms, observability tooling), and curiosity to go deeper. Prior hands-on experience is a plus but not a requirement for success in this role.
• Growing skills in clear written and verbal communication: you can explain what you’re working on, ask good questions, and incorporate feedback. You’re motivated to keep improving in this area.
• A growth mindset: you seek feedback, learn from mistakes, and look for opportunities to take on slightly more complex work over time.
• We do not expect you to arrive as a performance expert or infrastructure specialist. We are looking for early-career engineers who are excited to learn how large-scale systems are built, measured, and improved, and who want to grow into owning more complex projects over time.

What you'll find at MongoDB

As a Software Engineer 2 on Performance Infrastructure, you will:

• Design, implement, and test features and bug fixes in our performance tooling and infrastructure, primarily using Python, with guidance from more senior engineers where needed.
• Contribute to performance workloads and benchmarking pipelines used to evaluate MongoDB across releases, platforms, and configurations, helping the broader organization understand how changes affect our products.
• Maintain and improve existing performance testing software by refactoring code, improving test coverage, and simplifying developer experiences for MongoDB engineers who use our tools.
• Work with teammates to debug and diagnose performance or reliability issues, learning how to use internal observability tools, logs, traces, and metrics to narrow down root causes.
• Participate actively in code reviews, both as an author and as a reviewer, asking clarifying questions and incorporating feedback to improve code quality and maintainability.
• Help keep our documentation, runbooks, and “getting started” guides for performance tooling accurate and approachable, especially for other early-career engineers and internal users.
• Build strong working relationships with engineers across MongoDB, representing user needs and pain points you encounter in your work and through support requests from other teams.
• Over time, take end-to-end ownership of small-to-medium-scoped projects, including breaking work into incremental pieces, communicating progress, and delivering improvements that meaningfully impact developer productivity and performance testing reliability.
• You will be supported by a manager and teammates who will help you scope your work appropriately for your experience level, while expecting you to become increasingly independent as you grow in the role.

Success measures

We measure success for this role along both impact and growth, consistent with MongoDB’s expectations for early-career software engineers.

In 1 month

• You have a basic understanding of our primary tools, systems, and team workflows, and can set up and run our core performance workloads locally or in CI with guidance.
• You have completed several small, well-scoped tasks (documentation fixes, simple bug fixes, or small quality-of-life improvements) and learned our code review and release processes.
• You are comfortable asking questions, pairing with teammates, and using internal channels to get unblocked.

In 3 months

• You are independently productive in familiar areas of the codebase, taking well-defined tickets from design to implementation, test, and deployment with limited supervision.
• You have contributed meaningfully to at least one performance-related feature or improvement, such as a new workload, better observability, or test stability work, and can explain its impact on our users (MongoDB engineers) and downstream teams.
• You troubleshoot and resolve moderately complex bugs with help from teammates, and you routinely file clear follow-up tickets when you discover gaps in tests, docs, or tooling.

In 6 months

• You can own small-to-medium complexity projects in areas you know well, including breaking work into incremental changes, estimating effort with your manager, and keeping stakeholders up to date on progress and risks.
• You show good judgment in balancing quality and velocity, knowing when to ship a pragmatic solution and when to slow down to pay down technical debt or add tests.
• You increasingly contribute to improving our tools and processes, e.g., suggesting changes to make performance runs more reliable, clarifying documentation, or reducing friction in common workflows.

In 12 months

• You are a trusted contributor on the Performance Infrastructure team: your team and manager are confident relying on you to take on new work in your core areas with minimal day-to-day supervision.
• You have made one or more visible improvements to our performance tooling, workloads, or developer experience that meaningfully improved reliability, debuggability, or usability for MongoDB engineers.
• You demonstrate readiness for higher level work: taking on more ambiguous tickets, thinking about the broader system impact of your changes, and helping newer engineers onboard to the team’s tools and practices.

About Us

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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 Early Talent Recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263290434

The Storage Engines team is building WiredTiger, a cutting-edge open-source storage engine. WiredTiger employs modern hardware architectures and software algorithms to achieve extraordinary performance for the most intricate applications. This team’s role is to maintain a pluggable protocol for MongoDB storage engines, and provide a comprehensive framework for managing concurrent, transactional access to data stored within a MongoDB database instance.

Our team champions a strong culture of inclusivity, diversity, and collaboration. As a team member, you will contribute to crafting and maintaining the nexus of the different server components, connecting its query system and distributed replication system to its underlying storage engines. Ongoing work includes improvements to our transaction management, scaling the code base, and improving resilience and availability for the server.

We are looking to speak to candidates who are based in Sydney for our hybrid working model.

Candidate Profile

• You have strong computer science knowledge and at least 2 years of server-side C or C++ development experience. Professional or advanced academic expertise in the domains of distributed systems and databases is preferable, but not strongly required
• You are enthusiastic about designing, writing, testing, and debugging maintainable software. You strive for well thought out solutions instead of quick fixes
• You have excellent technical communication skills, which you use to collaborate with colleagues. You manage your time effectively, make realistic assessments of project complexity, and respect others who do the same
• You are friendly, sociable, and eager to establish relationships with your team members. You believe there is more provided value working as a team than in the sum of individual contributions, and that everyone is accountable for a quality product
• You are willing, able, and motivated to quickly learn new things. You are not afraid to admit you don’t know something or to ask for help
• You are curious about how people and organisations use MongoDB, and how MongoDB could be improved to enable more use cases

Position Expectations

• Understand and improve the current functionality of WiredTiger
• Identify, design, implement, test, and support new features in MongoDB
• Work with other engineers to coordinate seamless changes in a feature-rich, large codebase
• Estimate task complexity and report progress and risks to peers and managers
• Fix code defects and work with support to diagnose and remediate customer issues
• Adapt and adhere to the team norms and the company core values

Success Measures

• In the first month, you will understand the high-level architecture of WiredTiger
• In three months, you will tackle code review responsibilities and will diagnose and fix a few customer or testing-reported issues
• In six months, you will contribute to the development of a project slated for the next major release of MongoDB and participate in the design review for new features
• In twelve months, you are leading the development of a new feature and are helping to mentor new engineers on the team

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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.

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas (https://cloud.mongodb.com), Cloud Manager and Compass.

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 Service Engineers are specialists in the entire MongoDB ecosystem - database server, drivers, our management suite, and services such as Cloud Manager (the online product we developed for customers for automation, backup, monitoring, and analysis of their MongoDB systems). 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 or Melbourne offices. The standard work week post ramping will be Sunday to Thursday, 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 is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

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. And 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. 

What you need

You should have 4+ 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: 

• Strong diagnostics and troubleshooting experience, with the ability to analyse issues holistically, from the application tier, to database to storage
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Ability to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, JavaScript, Node.js, Go, etc
• Good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.)
• Storage engineering experience, including NAS, RAID, SAN, SSD, multi-pathing, and caching
• Experience supporting complex mission-critical product applications and database systems (RDBMS or non-relational)

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

• Fluency in conveying technical discussion in Mandarin
• 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 or other orchestration systems using vendor-specific Enterprise operators

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 working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a part of a technical experts group 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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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.

REQ ID: 1273397152

Overview:

We are seeking a highly skilled Solutions Architect to lead the design and optimization of our product’s architecture. In this role, you will serve as the key architect for data solutions, overseeing the integration of advanced technologies while mentoring junior team members and collaborating with cross-functional teams.

Key Responsibilities:

• Responsible for building end-to-end solution design for products and applications.
• Partnering with business, engineering and product stakeholders to determine system requirements and designing fit-for-purpose solutions
• Be a key contributor to the Architecture peer group supporting with their strategy and roadmap
• Design solutions for new initiatives/enhancements with a focus on simplicity and operational integration.
• Review, assessment and governance of application/product solution designs for conformance to architecture principles throughout the project lifecycle.
• Diagnose and solve architecture problems and issues that may arise.
• Act autonomously in dealing with identified issues or deviance from standards.
• Support the adoption of target-state architecture by executing on the strategy for enterprise and digital platforms and systems.
• Alignment to architecture standards and principles to ensure solution decisions are made consistently across the enterprise and in the context of target architectures.
• Improve application/product performance through enterprise solutions and capabilities, Application data security and access control designs

Required Qualifications:

• Bachelor or Master degree in Computer Science, Information Technology, Data Science, or a related field.
• 10+ years of experience in software architecture, data lake and database design, and data modelling, with at least 5+ years in a senior or lead role.
• Expertise in enterprise-scale data platform and technology – Databricks, DLT, Spark, Python and non-relational databases - MongoDB.
• Deep knowledge of cloud-based architectures.
• Proven expertise in data governance, security frameworks, and compliance standards (e.g., GDPR).
• Exceptional analytical, problem-solving, and decision-making skills, with a focus on driving business outcomes through software architecture.
• Ability to communicate complex technical concepts effectively to executive leadership and cross-functional teams.

Preferred Qualifications:

• Experience in artificial intelligence (AI) or machine learning (ML) data architectures.
• Advanced knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines for data operations.
• Strong programming skills in Java, Python or Scala, particularly for data manipulation and processing.
• Strong experience in designing and managing data lakes, data warehouses, and real-time streaming systems (e.g., Spark, Databricks).
• Excellent understanding of ETL/ELT processes, data integration, and data transformation tools.
• Experience in working with big data technologies and delivering large-scale data platforms.
• Certification in cloud architecture (e.g., AWS Certified Solutions Architect).