MongoDB: Application Engineer — Bengaluru

About MongoDB

MongoDB develops a general-purpose document database platform. It began with an open-source database storing data in a flexible, JSON-like document model and now provides cloud, enterprise and community database offerings alongside services for search, analytics and application development teams. Organisations across industries use its platform, and the employer feed lists engineering, sales and product roles supporting the database and developer-platform business.

The position and its setting

MongoDB lists Application Engineer in Bengaluru, under reference 8143980. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: AMP, APAC Delivery
• Employer listing date: 11 September 2026

Subjects named in the job description

The posting mentions the following work areas. These references are not a separate list of compulsory certifications.

• Python
• Java
• SQL
• NoSQL
• Kubernetes
• CI/CD
• Docker
• AWS
• GCP
• Azure

Essential requirements and candidate background

• 4–7 years of experience in software development, with a foundation in
• Core programming concepts specific to JAVA
• Relational databases and SQL, including basic stored procedures
• Application debugging and performance tuning
• Exposure: 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
• Problem-solving skills and a collaborative mindset
• Communication skills to engage effectively with team members and stakeholders
• Nice-to-Have Skills
• Familiarity: MongoDB or similar NoSQL databases
• Basic knowledge of GenAI tools and APIs (e.g., OpenAI GPT models)
• Exposure: Python and its application in scripting or data processing
• Basic understanding of cloud-native development concepts (e.g., Docker, Kubernetes, or microservices)
• Experience: ORMs like Hibernate or JPA

Preferred experience and additional strengths

• Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP
• Knowledge: containerization and orchestration tools like Docker and Kubernetes
• Experience: GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects

Location, schedule and contract conditions

• We are looking to speak to candidates who are based in Bengaluru for our hybrid working model
• Advertised location: Bengaluru

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Application Engineer vacancy is not an offer for reference 8143980; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to MongoDB

Applications follow the official employer page linked below.

Open the official MongoDB posting below and match the title and reference 8143980.

Compare your qualifications and experience with the essential conditions for the Bengaluru position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• SQL
• NoSQL
• Kubernetes
• CI/CD
• Docker
• AWS
• GCP
• Azure
• APIs
• Google Cloud