MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• 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

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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.

REQ ID: 425547

Job Summary 

We are searching for an IT Infrastructure Engineer, on-site for a 6 month contract, to be responsible and accountable for the smooth running of our end-user devices and core applications, primarily for infrastructure located in the Kairos Power Albuquerque, NM site. You will champion the support, implementation, and maintenance of core infrastructure needs impacting the accelerated delivery of engineering and manufacturing services. The successful candidate will have previous IT systems/network engineering experience in an engineering company.  

Responsibilities 

• Install and maintain cloud and on-premises networking and compute resources using IaC where possible 
• Standardize design and management of cloud and on-premises networking and compute resources 
• Coordinate and collaborate with outside partners to deliver secure, functional business solutions 
• Build scalable, reliable, automated solutions that efficiently improve network and application performance 
• Design, deploy, and maintain hybrid infrastructure across multiple offices and datacenters 

Qualifications 

• 3+ years recent work experience as Network Engineer, Systems Engineer, or similar role in a medium/enterprise scale organization; 7+ years overall IT experience 
• Bachelor’s Degree in Computer Science or similar field; or an equivalent combination of education, professional certifications, and work experience is preferred 
• Recent experience with datacenter operations, physical and logical networking, and systems engineering 
• Demonstrated on-the-job knowledge and experience with cloud services technologies (e.g. AWS, Azure, Google Cloud) to include design, implementation, and integration 
• Strong understanding of server-client technologies 
• Practical experience using configuration management tools (e.g. Terraform, Ansible, Puppet, Chef) as part of an Infrastructure as Code environment 
• High degree of proficiency in Windows, macOS, Linux, MDM, SSO, and at least one cloud IaaS platform 
• Prompt communication and excellent documentation skills 
• Resourceful / problem-solver mentality 
• Positive, enthusiastic, service-oriented attitude 
• Able to work in a fast-paced environment and embrace constant changes and challenges 
• Working knowledge of modern information security practices 
• Prior work experience in a highly-regulated industry, especially within the government community 
• Prior work experience for an engineering or industrial/manufacturing company 
• Prior work experience in a fast-paced, high-growth startup 
• Ability to work with highly collaborative team
• Ability to solve problems quickly and efficiently
• Prioritizes and ensures safety of one self and others
• Ability to proactively collect, manage and transfer knowledge
• Ability to seek different and novel ways to create efficiencies when working on problems, challenges and issues

Physical Demands

• Remaining in a stationary position, often standing, or sitting for prolonged periods
• Moving about to accomplish tasks or moving from one worksite to another
• Adjusting, moving, transporting, installing, positioning, or removing objects up to 50 pounds in all directions
• Communicating with others to exchange information

Environmental Conditions

• General office environment
• Assessing the accuracy, neatness and thoroughness of the work assigned
• High-concentration, demanding and fast-paced

Safety and PPE

• Reading and interpreting hazardous warning signs
• Reporting issues with equipment or unsafe conditions

Travel 

Some travel may be required up to 10%,

Additional Requirements 

• Occasionally requires overtime
• Occasionally requires working weekends
• Occasionally requires schedule flexibility
• Occasionally requires extended hours to support launch and critical project timelines

• #LI-Onsite