Application Engineer
MongoDB is hiring an Application Engineer in Bengaluru, India. Level rates it ; you can apply on MongoDB.
Level's read on this job
- On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include OpenAI, OpenAI API and Java.
- Level classifies it as a mid-level role.
- Level lists 368 other open roles at MongoDB.
AI in this role
Application Engineer modernizing legacy Java and SQL systems to MongoDB using GenAI tools and migration playbooks.
MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day’s work!
MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB.
Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration.
We are looking to speak to candidates who are based in Bengaluru for our hybrid working model.
Position Summary
As an Application Delivery Consultant, you will work closely with customers to deliver tailored solutions for modernizing their legacy SQL-based systems and applications. Your role will involve collaborating with bite-size Agile teams, applying best practices, and contributing to system redesigns that leverage MongoDB. This is an excellent opportunity for candidates with strong technical fundamentals and a passion for learning, as the role provides extensive training and exposure to modern technologies like MongoDB, GenAI, and cloud-native architectures
Position Expectations:
- Collaborate with project teams to deliver solutions for modernizing legacy SQL-based applications and migrating them to MongoDB
- Apply your knowledge of Java (or similar programming languages) and relational databases to support customer projects
- Follow and contribute to best practice playbooks for migrations and modern application development
- Continuously learn and adopt new technologies, especially MongoDB, GenAI tools, and cloud architectures, as projects demand
- Participate in sprint planning, grooming, and retrospectives to improve team processes and outputs
- Communicate progress, challenges, and ideas effectively within the team and to stakeholders
- Support debugging and performance optimization tasks during projects
- Be open to mentoring and guidance from senior team members while contributing to team discussions with a fresh perspective
Key Qualifications
- 4–7 years of experience in software development, with a strong foundation in
- Core programming concepts specific to JAVA
- Relational databases and SQL, including basic stored procedures
- Application debugging and performance tuning
- Exposure to one or more enterprise application architectures, such as Spring Boot or Hibernate
- Experience working in Agile teams, with a familiarity with CI/CD pipelines and Git for version control
- Demonstrated curiosity and ability to learn new tools, frameworks, and best practices quickly
- Excellent problem-solving skills and a collaborative mindset
- Strong communication skills to engage effectively with team members and stakeholders
- Nice-to-Have Skills
- Familiarity with MongoDB or similar NoSQL databases
- Basic knowledge of GenAI tools and APIs (e.g., OpenAI GPT models)
- Exposure to Python and its application in scripting or data processing
- Basic understanding of cloud-native development concepts (e.g., Docker, Kubernetes, or microservices)
- Hands-on experience with ORMs like Hibernate or JPA
Bonus Skills
- Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP
- Knowledge of containerization and orchestration tools like Docker and Kubernetes
- Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects
Key Competencies
- Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences
- Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations
- Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices
Additional Considerations
Due to the highly regulated nature of our industry, successful candidates may undergo enhanced background checks and security screenings. MongoDB is committed to providing a supportive, enriching work environment with a focus on employee wellbeing and growth.
Why MongoDB?
Join us in transforming the way enterprises manage and scale data. MongoDB provides a dynamic workplace culture with employee affinity groups, fertility assistance, and generous parental leave policies, ensuring an inclusive experience.
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 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. 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 - 3273524386
How we rate this
Application Engineer at MongoDB rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where migration was part of your work. What did you do?
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Walk me through how you've used OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Engineering, Migration, Cloud Architecture, SQL, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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